1 Commits

Author SHA1 Message Date
e1ef16015d markdown 2023-03-25 16:59:05 +08:00
49 changed files with 1263 additions and 6203 deletions

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name: Build static content
on:
# Runs on pushes targeting the default branch
push:
branches: ["master"]
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Use Node.js 20.x
uses: actions/setup-node@v3
with:
node-version: 20.x
cache: 'npm'
- run: npm install
- run: npm run build
- name: Upload artifact
uses: actions/upload-artifact@v3
with:
name: dist-files
path: './dist/'

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@@ -1,14 +1,10 @@
> 前排提示:滥用 API 或在不支持的地区调用 API 有被封号的风险 <https://github.com/zhayujie/chatgpt-on-wechat/issues/423> > 前排提示:滥用 API 或在不支持的地区调用 API 有被封号的风险 <https://github.com/zhayujie/chatgpt-on-wechat/issues/423>
>
> 建议自行搭建代理中转 API 请求,然后更改对话设置中的 API Endpoint 参数使用中转
>
> 具体反向代理搭建教程请参阅此 [>>Wiki 页面<<](https://github.com/heimoshuiyu/chatgpt-api-web/wiki)
# ChatGPT API WEB # ChatGPT API WEB
ChatGPT API WEB 是为 ChatGPT 的日常用户和 Prompt 工程师设计的项目。它让你方便地在 PC 和移动端浏览器上使用 ChatGPT并根据需要调整系统 Prompt 和修改 OpenAI 接口参数。你还可以重复生成、编辑消息(包括用户消息与 AI 消息),以更好地与 ChatGPT 进行交互。 > 灵车东西,做着玩儿的
无论你是 ChatGPT 的一般用户、想要定制 ChatGPT 的用户,还是 Prompt 工程师,这个项目都能满足你的需求 一个简单的网页,调用 OPENAI ChatGPT 进行对话
![build status](https://github.com/heimoshuiyu/chatgpt-api-web/actions/workflows/pages.yml/badge.svg) ![build status](https://github.com/heimoshuiyu/chatgpt-api-web/actions/workflows/pages.yml/badge.svg)
@@ -16,19 +12,11 @@ ChatGPT API WEB 是为 ChatGPT 的日常用户和 Prompt 工程师设计的项
- API 调用速度更快更稳定 - API 调用速度更快更稳定
- 对话记录、API 密钥等使用浏览器的 localStorage 保存在本地 - 对话记录、API 密钥等使用浏览器的 localStorage 保存在本地
-编辑并删除对话消息 - 可删除对话消息
- 可以导入/导出整个历史对话记录 - 可以设置 system message (如:"你是一个猫娘" 或 "你是一个有用的助理" 或 "将我的话翻译成英语",参见官方 [API 文档](https://platform.openai.com/docs/guides/chat))
- 可以设置 system message (参见官方 [API 文档](https://platform.openai.com/docs/guides/chat)) 例如:
- > You are a helpful assistant
- > 你是一个专业英语翻译,把我说的话翻译成英语,为了保持通顺连贯可以适当修改内容。
- > 根据我的要求撰写并修改商业文案
- > ~~你是一个猫娘,你要用猫娘的语气说话~~
- 可以为不同对话设置不同 APIKEY - 可以为不同对话设置不同 APIKEY
- 小(整个网页 30k 左右) - 小(整个网页 30k 左右)
- 可以设置不同的 API Endpoint方便墙内人士使用反向代理转发 API 请求) - 可以设置不同的 API Endpoint方便墙内人士使用反向代理转发 API 请求)
- 支持 Whisper 语音转文字输入,将会使用历史对话记录和当前输入框内的文本作为 Prompt提高专有名词识别率
- 支持 TTS API
- 支持 GPT-4v 图片输入
## 屏幕截图 ## 屏幕截图
@@ -42,22 +30,12 @@ ChatGPT API WEB 是为 ChatGPT 的日常用户和 Prompt 工程师设计的项
- 从 [release](https://github.com/heimoshuiyu/chatgpt-api-web/releases) 下载网页文件,或在 [github pages](https://heimoshuiyu.github.io/chatgpt-api-web/) 按 `ctrl+s` 保存网页,然后双击打开 - 从 [release](https://github.com/heimoshuiyu/chatgpt-api-web/releases) 下载网页文件,或在 [github pages](https://heimoshuiyu.github.io/chatgpt-api-web/) 按 `ctrl+s` 保存网页,然后双击打开
- 自行编译构建网页 - 自行编译构建网页
### 默认参数继承
新建会话将会使用 URL 中设置的默认参数。
如果 URL 没有设置该参数,则使用 **目前选中的会话** 的参数
### 更改默认参数 ### 更改默认参数
- `key`: OPENAI API KEY 默认为空 - `key`: OPENAI API KEY 默认为空
- `sys`: system message 默认为 "你是一个猫娘,你要模仿猫娘的语气说话" - `sys`: system message 默认为 "你是一个猫娘,你要模仿猫娘的语气说话"
- `api`: API Endpoint 默认为 `https://api.openai.com/v1/chat/completions` - `api`: API Endpoint 默认为 `https://api.openai.com/v1/chat/completions`
- `mode`: `fetch``stream` 模式stream 模式下可以动态看到 api 返回的数据,但无法得知 token 数量,只能进行估算,在 token 数量过多时可能会裁切过多或过少历史消息 - `mode`: `fetch``stream` 模式stream 模式下可以动态看到 api 返回的数据,但无法得知 token 数量,只能进行估算,在 token 数量过多时可能会裁切过多或过少历史消息
- `dev`: true / false 开发模式,这个模式下可以看到并调整更多参数
- `temp`: 温度,默认 1
- `whisper-api`: Whisper 语音转文字服务 API, 只有设置了此值后才会显示语音转文字按钮
- `whisper-key`: 用于 Whisper 服务的 key如果留空则默认使用上方的 OPENAI API KEY
例如 `http://localhost:1234/?key=xxxx&api=xxxx` 那么 **新创建** 的会话将会使用该默认 API 和 API Endpoint 例如 `http://localhost:1234/?key=xxxx&api=xxxx` 那么 **新创建** 的会话将会使用该默认 API 和 API Endpoint
@@ -70,4 +48,4 @@ yarn install
yarn build yarn build
``` ```
构建产物在 `dist` 文件夹中 构建产物在 `dist` 文件夹中

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@@ -1,15 +1,8 @@
<!DOCTYPE html> <!DOCTYPE html>
<html data-theme="cupcake" lang="en"> <html lang="en">
<head> <head>
<meta charset="UTF-8" /> <meta charset="UTF-8" />
<meta <meta name="viewport" content="width=device-width, initial-scale=1.0" />
name="viewport"
content="width=device-width, initial-scale=1.0, user-scalable=no"
/>
<meta
name="description"
content="A simple API playground for OpenAI ChatGPT API"
/>
<title>ChatGPT API Web</title> <title>ChatGPT API Web</title>
</head> </head>
<body> <body>

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@@ -9,22 +9,16 @@
"preview": "vite preview" "preview": "vite preview"
}, },
"dependencies": { "dependencies": {
"@heroicons/react": "^2.1.5", "autoprefixer": "^10.4.14",
"@types/ungap__structured-clone": "^1.2.0", "postcss": "^8.4.21",
"@ungap/structured-clone": "^1.2.0", "preact": "^10.11.3",
"autoprefixer": "^10.4.20",
"idb": "^8.0.0",
"postcss": "^8.4.47",
"preact": "^10.24.3",
"preact-markdown": "^2.1.0", "preact-markdown": "^2.1.0",
"sakura.css": "^1.5.0", "sakura.css": "^1.4.1",
"tailwindcss": "^3.4.13" "tailwindcss": "^3.2.7"
}, },
"devDependencies": { "devDependencies": {
"@preact/preset-vite": "^2.9.1", "@preact/preset-vite": "^2.5.0",
"daisyui": "^4.12.13", "typescript": "^4.9.3",
"theme-change": "^2.5.0", "vite": "^4.1.0"
"typescript": "^5.6.3",
"vite": "^5.4.8"
} }
} }

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import { useState } from "preact/hooks";
import { ChatStore } from "@/types/chatstore";
import { MessageDetail } from "@/chatgpt";
import { Tr } from "@/translate";
interface Props {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
images: MessageDetail[];
setShowAddImage: (se: boolean) => void;
setImages: (images: MessageDetail[]) => void;
}
interface ImageResponse {
url?: string;
b64_json?: string;
revised_prompt: string;
}
export function AddImage({
chatStore,
setChatStore,
setShowAddImage,
setImages,
images,
}: Props) {
const [enableHighResolution, setEnableHighResolution] = useState(true);
const [imageGenPrompt, setImageGenPrompt] = useState("");
const [imageGenModel, setImageGenModel] = useState("dall-e-3");
const [imageGenN, setImageGenN] = useState(1);
const [imageGenQuality, setImageGEnQuality] = useState("standard");
const [imageGenResponseFormat, setImageGenResponseFormat] =
useState("b64_json");
const [imageGenSize, setImageGenSize] = useState("1024x1024");
const [imageGenStyle, setImageGenStyle] = useState("vivid");
const [imageGenGenerating, setImageGenGenerating] = useState(false);
useState("b64_json");
return (
<div
className="absolute z-10 bg-black bg-opacity-50 w-full h-full flex justify-center items-center left-0 top-0 overflow-scroll"
onClick={() => {
setShowAddImage(false);
}}
>
<div
className="bg-base-200 p-2 z-20"
onClick={(event) => {
event.stopPropagation();
}}
>
<div className="flex justify-between items-center p-1">
<h3>Add Images</h3>
<button
className="btn btn-sm btn-neutral"
onClick={() => {
setShowAddImage(false);
}}
>
Done
</button>
</div>
<span className="">
<button
className="btn btn-secondary btn-sm disabled:btn-disabled"
onClick={() => {
const image_url = prompt("Image URL");
if (!image_url) {
return;
}
setImages([
...images,
{
type: "image_url",
image_url: {
url: image_url,
detail: enableHighResolution ? "high" : "low",
},
},
]);
}}
>
Add from URL
</button>
<button
className="btn btn-primary btn-sm disabled:btn-disabled"
onClick={() => {
// select file and load it to base64 image URL format
const input = document.createElement("input");
input.type = "file";
input.accept = "image/*";
input.onchange = (event) => {
const file = (event.target as HTMLInputElement).files?.[0];
if (!file) {
return;
}
const reader = new FileReader();
reader.readAsDataURL(file);
reader.onloadend = () => {
const base64data = reader.result;
setImages([
...images,
{
type: "image_url",
image_url: {
url: String(base64data),
detail: enableHighResolution ? "high" : "low",
},
},
]);
};
};
input.click();
}}
>
Add from local file
</button>
<span
onClick={() => {
setEnableHighResolution(!enableHighResolution);
}}
>
<label>High resolution</label>
<input type="checkbox" checked={enableHighResolution} />
</span>
</span>
<div className="divider"></div>
{chatStore.image_gen_api && chatStore.image_gen_key && (
<div className="flex flex-col">
<h3>Generate Image</h3>
<span className="flex flex-col justify-between m-1 p-1">
<label>Prompt: </label>
<textarea
className="textarea textarea-sm textarea-bordered"
value={imageGenPrompt}
onChange={(e: any) => {
setImageGenPrompt(e.target.value);
}}
/>
</span>
<span className="flex flex-row justify-between items-center m-1 p-1">
<label>Model: </label>
<select
className="select select-sm select-bordered"
value={imageGenModel}
onChange={(e: any) => {
setImageGenModel(e.target.value);
}}
>
<option value="dall-e-3">DALL-E 3</option>
<option value="dall-e-2">DALL-E 2</option>
</select>
</span>
<span className="flex flex-row justify-between items-center m-1 p-1">
<label>n: </label>
<input
className="input input-sm input-bordered"
value={imageGenN}
type="number"
min={1}
max={10}
onChange={(e: any) => setImageGenN(parseInt(e.target.value))}
/>
</span>
<span className="flex flex-row justify-between items-center m-1 p-1">
<label>Quality: </label>
<select
className="select select-sm select-bordered"
value={imageGenQuality}
onChange={(e: any) => setImageGEnQuality(e.target.value)}
>
<option value="hd">HD</option>
<option value="standard">Standard</option>
</select>
</span>
<span className="flex flex-row justify-between items-center m-1 p-1">
<label>Response Format: </label>
<select
className="select select-sm select-bordered"
value={imageGenResponseFormat}
onChange={(e: any) => setImageGenResponseFormat(e.target.value)}
>
<option value="b64_json">b64_json</option>
<option value="url">url</option>
</select>
</span>
<span className="flex flex-row justify-between items-center m-1 p-1">
<label>Size: </label>
<select
className="select select-sm select-bordered"
value={imageGenSize}
onChange={(e: any) => setImageGenSize(e.target.value)}
>
<option value="256x256">256x256 (dall-e-2)</option>
<option value="512x512">512x512 (dall-e-2)</option>
<option value="1024x1024">1024x1024 (dall-e-2/3)</option>
<option value="1792x1024">1792x1024 (dall-e-3)</option>
<option value="1024x1792">1024x1792 (dall-e-3)</option>
</select>
</span>
<span className="flex flex-row justify-between items-center m-1 p-1">
<label>Style (only dall-e-3): </label>
<select
className="select select-sm select-bordered"
value={imageGenStyle}
onChange={(e: any) => setImageGenStyle(e.target.value)}
>
<option value="vivid">vivid</option>
<option value="natural">natural</option>
</select>
</span>
<span className="flex flex-row justify-between items-center m-1 p-1">
<button
className="btn btn-primary btn-sm"
disabled={imageGenGenerating}
onClick={async () => {
try {
setImageGenGenerating(true);
const body: any = {
prompt: imageGenPrompt,
model: imageGenModel,
n: imageGenN,
quality: imageGenQuality,
response_format: imageGenResponseFormat,
size: imageGenSize,
};
if (imageGenModel === "dall-e-3") {
body.style = imageGenStyle;
}
const resp: ImageResponse[] = (
await fetch(chatStore.image_gen_api, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${chatStore.image_gen_key}`,
},
body: JSON.stringify(body),
}).then((resp) => resp.json())
).data;
console.log("image gen resp", resp);
for (const image of resp) {
let url = "";
if (image.url) url = image.url;
if (image.b64_json)
url = "data:image/png;base64," + image.b64_json;
if (!url) continue;
chatStore.history.push({
role: "assistant",
content: [
{
type: "image_url",
image_url: {
url,
detail: "low",
},
},
{
type: "text",
text: image.revised_prompt,
},
],
hide: false,
token: 65,
example: false,
audio: null,
logprobs: null,
response_model_name: imageGenModel,
});
setChatStore({ ...chatStore });
}
} catch (e) {
console.error(e);
alert("Failed to generate image: " + e);
} finally {
setImageGenGenerating(false);
}
}}
>
{Tr("Generate")}
</button>
</span>
</div>
)}
<div className="flex flex-wrap">
{images.map((image, index) => (
<div className="flex flex-col">
{image.type === "image_url" && (
<img
className="rounded m-1 p-1 border-2 border-gray-400 w-32"
src={image.image_url?.url}
/>
)}
<span className="flex justify-between">
<button
onClick={() => {
const image_url = prompt("Image URL");
if (!image_url) {
return;
}
images[index].image_url = {
url: image_url,
detail: enableHighResolution ? "high" : "low",
};
setImages([...images]);
}}
>
🖋
</button>
<span
onClick={() => {
if (image.image_url === undefined) return;
image.image_url.detail =
image.image_url?.detail === "low" ? "high" : "low";
setImages([...images]);
}}
>
<label>HiRes</label>
<input
type="checkbox"
checked={image.image_url?.detail === "high"}
/>
</span>
<button
onClick={() => {
if (!confirm("Are you sure to delete this image?")) {
return;
}
images.splice(index, 1);
setImages([...images]);
}}
>
</button>
</span>
</div>
))}
</div>
</div>
</div>
);
}

181
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import { useEffect, useState } from "preact/hooks";
import "./global.css";
import { Message } from "./chatgpt";
import getDefaultParams from "./getDefaultParam";
import ChatBOX from "./chatbox";
export interface ChatStore {
systemMessageContent: string;
history: Message[];
postBeginIndex: number;
tokenMargin: number;
totalTokens: number;
maxTokens: number;
apiKey: string;
apiEndpoint: string;
streamMode: boolean;
}
const _defaultAPIEndpoint = "https://api.openai.com/v1/chat/completions";
const newChatStore = (
apiKey = "",
systemMessageContent = "你是一个有用的人工智能助理",
apiEndpoint = _defaultAPIEndpoint,
streamMode = true
): ChatStore => {
return {
systemMessageContent: getDefaultParams("sys", systemMessageContent),
history: [],
postBeginIndex: 0,
tokenMargin: 1024,
totalTokens: 0,
maxTokens: 4096,
apiKey: getDefaultParams("key", apiKey),
apiEndpoint: getDefaultParams("api", apiEndpoint),
streamMode: getDefaultParams("mode", streamMode),
};
};
const STORAGE_NAME = "chatgpt-api-web";
const STORAGE_NAME_SELECTED = `${STORAGE_NAME}-selected`;
const STORAGE_NAME_INDEXES = `${STORAGE_NAME}-indexes`;
export function App() {
// init indexes
const initAllChatStoreIndexes: number[] = JSON.parse(
localStorage.getItem(STORAGE_NAME_INDEXES) ?? "[0]"
);
const [allChatStoreIndexes, setAllChatStoreIndexes] = useState(
initAllChatStoreIndexes
);
useEffect(() => {
if (allChatStoreIndexes.length === 0) allChatStoreIndexes.push(0);
console.log("saved all chat store indexes", allChatStoreIndexes);
localStorage.setItem(
STORAGE_NAME_INDEXES,
JSON.stringify(allChatStoreIndexes)
);
}, [allChatStoreIndexes]);
// init selected index
const [selectedChatIndex, setSelectedChatIndex] = useState(
parseInt(localStorage.getItem(STORAGE_NAME_SELECTED) ?? "0")
);
useEffect(() => {
console.log("set selected chat index", selectedChatIndex);
localStorage.setItem(STORAGE_NAME_SELECTED, `${selectedChatIndex}`);
}, [selectedChatIndex]);
const getChatStoreByIndex = (index: number): ChatStore => {
const key = `${STORAGE_NAME}-${index}`;
const val = localStorage.getItem(key);
if (val === null) return newChatStore();
return JSON.parse(val) as ChatStore;
};
const [chatStore, _setChatStore] = useState(
getChatStoreByIndex(selectedChatIndex)
);
const setChatStore = (cs: ChatStore) => {
console.log("saved chat", selectedChatIndex, chatStore);
localStorage.setItem(
`${STORAGE_NAME}-${selectedChatIndex}`,
JSON.stringify(cs)
);
_setChatStore(cs);
};
useEffect(() => {
_setChatStore(getChatStoreByIndex(selectedChatIndex));
}, [selectedChatIndex]);
return (
<div className="flex text-sm h-screen bg-slate-200 dark:bg-slate-800 dark:text-white">
<div className="flex flex-col h-full p-2 border-r-indigo-500 border-2 dark:border-slate-800 dark:border-r-indigo-500 dark:text-black">
<div className="grow overflow-scroll">
<button
className="bg-violet-300 p-1 rounded hover:bg-violet-400"
onClick={() => {
const max = Math.max(...allChatStoreIndexes);
const next = max + 1;
console.log("save next chat", next);
localStorage.setItem(
`${STORAGE_NAME}-${next}`,
JSON.stringify(
newChatStore(
chatStore.apiKey,
chatStore.systemMessageContent,
chatStore.apiEndpoint,
chatStore.streamMode
)
)
);
allChatStoreIndexes.push(next);
setAllChatStoreIndexes([...allChatStoreIndexes]);
setSelectedChatIndex(next);
}}
>
NEW
</button>
<ul>
{allChatStoreIndexes
.slice()
.reverse()
.map((i) => {
// reverse
return (
<li>
<button
className={`w-full my-1 p-1 rounded hover:bg-blue-300 ${
i === selectedChatIndex ? "bg-blue-500" : "bg-blue-200"
}`}
onClick={() => {
setSelectedChatIndex(i);
}}
>
{i}
</button>
</li>
);
})}
</ul>
</div>
<button
className="rounded bg-rose-400 p-1 my-1 w-full"
onClick={() => {
if (!confirm("Are you sure you want to delete this chat history?"))
return;
console.log("remove item", `${STORAGE_NAME}-${selectedChatIndex}`);
localStorage.removeItem(`${STORAGE_NAME}-${selectedChatIndex}`);
const newAllChatStoreIndexes = [
...allChatStoreIndexes.filter((v) => v !== selectedChatIndex),
];
if (newAllChatStoreIndexes.length === 0) {
newAllChatStoreIndexes.push(0);
setChatStore(
newChatStore(
chatStore.apiKey,
chatStore.systemMessageContent,
chatStore.apiEndpoint,
chatStore.streamMode
)
);
}
// find nex selected chat index
const next =
newAllChatStoreIndexes[newAllChatStoreIndexes.length - 1];
console.log("next is", next);
setSelectedChatIndex(next);
setAllChatStoreIndexes([...newAllChatStoreIndexes]);
}}
>
DEL
</button>
</div>
<ChatBOX chatStore={chatStore} setChatStore={setChatStore} />
</div>
);
}

254
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import { createRef } from "preact";
import { useEffect, useState } from "preact/hooks";
import type { ChatStore } from "./app";
import ChatGPT, { ChunkMessage, FetchResponse } from "./chatgpt";
import Message from "./message";
import Settings from "./settings";
export default function ChatBOX(props: {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
}) {
const { chatStore, setChatStore } = props;
// prevent error
if (chatStore === undefined) return <div></div>;
const [inputMsg, setInputMsg] = useState("");
const [showGenerating, setShowGenerating] = useState(false);
const [generatingMessage, setGeneratingMessage] = useState("");
const [showRetry, setShowRetry] = useState(false);
const messagesEndRef = createRef();
useEffect(() => {
console.log("ref", messagesEndRef);
messagesEndRef.current.scrollIntoView({ behavior: "smooth" });
}, [showRetry, showGenerating, generatingMessage]);
const client = new ChatGPT(chatStore.apiKey);
const _completeWithStreamMode = async (response: Response) => {
// call api, return reponse text
console.log("response", response);
const reader = response.body?.getReader();
const allChunkMessage: string[] = [];
new ReadableStream({
async start() {
while (true) {
let responseDone = false;
let state = await reader?.read();
let done = state?.done;
let value = state?.value;
if (done) break;
let text = new TextDecoder().decode(value);
// console.log("text:", text);
const lines = text
.trim()
.split("\n")
.map((line) => line.trim())
.filter((i) => {
if (!i) return false;
if (i === "data: [DONE]") {
responseDone = true;
return false;
}
return true;
});
console.log("lines", lines);
const jsons: ChunkMessage[] = lines
.map((line) => {
return JSON.parse(line.trim().slice("data: ".length));
})
.filter((i) => i);
// console.log("jsons", jsons);
const chunkText = jsons
.map((j) => j.choices[0].delta.content ?? "")
.join("");
// console.log("chunk text", chunkText);
allChunkMessage.push(chunkText);
setShowGenerating(true);
setGeneratingMessage(allChunkMessage.join(""));
if (responseDone) break;
}
setShowGenerating(false);
// console.log("push to history", allChunkMessage);
chatStore.history.push({
role: "assistant",
content: allChunkMessage.join(""),
});
// manually copy status from client to chatStore
chatStore.maxTokens = client.max_tokens;
chatStore.tokenMargin = client.tokens_margin;
chatStore.totalTokens =
client.total_tokens +
39 +
client.calculate_token_length(allChunkMessage.join(""));
setChatStore({ ...chatStore });
setGeneratingMessage("");
setShowGenerating(false);
},
});
};
const _completeWithFetchMode = async (response: Response) => {
const data = (await response.json()) as FetchResponse;
const content = client.processFetchResponse(data);
chatStore.history.push({ role: "assistant", content });
setShowGenerating(false);
};
// wrap the actuall complete api
const complete = async () => {
// manually copy status from chatStore to client
client.apiEndpoint = chatStore.apiEndpoint;
client.sysMessageContent = chatStore.systemMessageContent;
client.messages = chatStore.history.slice(chatStore.postBeginIndex);
try {
setShowGenerating(true);
const response = await client._fetch(chatStore.streamMode);
const contentType = response.headers.get("content-type");
if (contentType === "text/event-stream") {
await _completeWithStreamMode(response);
} else if (contentType === "application/json") {
await _completeWithFetchMode(response);
} else {
throw `unknown response content type ${contentType}`;
}
// manually copy status from client to chatStore
chatStore.maxTokens = client.max_tokens;
chatStore.tokenMargin = client.tokens_margin;
chatStore.totalTokens = client.total_tokens;
// when total token > max token - margin token:
// ChatGPT will "forgot" some historical message
// so client.message.length will be less than chatStore.history.length
chatStore.postBeginIndex =
chatStore.history.length - client.messages.length;
console.log("postBeginIndex", chatStore.postBeginIndex);
setChatStore({ ...chatStore });
} catch (error) {
setShowRetry(true);
alert(error);
} finally {
setShowGenerating(false);
}
};
// when user click the "send" button or ctrl+Enter in the textarea
const send = async (msg = "") => {
const inputMsg = msg;
if (!inputMsg) {
console.log("empty message");
return;
}
chatStore.history.push({ role: "user", content: inputMsg.trim() });
setChatStore({ ...chatStore });
setInputMsg("");
await complete();
};
const [showSettings, setShowSettings] = useState(false);
return (
<div className="grow flex flex-col p-2 dark:text-black">
<Settings
chatStore={chatStore}
setChatStore={setChatStore}
show={showSettings}
setShow={setShowSettings}
/>
<p
className="cursor-pointer dark:text-white"
onClick={() => setShowSettings(true)}
>
<div>
<button className="underline">
{chatStore.systemMessageContent.length > 16
? chatStore.systemMessageContent.slice(0, 16) + ".."
: chatStore.systemMessageContent}
</button>{" "}
<button className="underline">
{chatStore.streamMode ? "STREAM" : "FETCH"}
</button>
</div>
<div className="text-xs">
<span>Total: {chatStore.totalTokens}</span>{" "}
<span>Max: {chatStore.maxTokens}</span>{" "}
<span>Margin: {chatStore.tokenMargin}</span>{" "}
<span>Message: {chatStore.history.length}</span>{" "}
<span>Cut: {chatStore.postBeginIndex}</span>
</div>
</p>
<div className="grow overflow-scroll">
{!chatStore.apiKey && (
<p className="opacity-60 p-6 rounded bg-white my-3 text-left dark:text-black">
(OPENAI) API KEY
</p>
)}
{!chatStore.apiEndpoint && (
<p className="opacity-60 p-6 rounded bg-white my-3 text-left dark:text-black">
API Endpoint
</p>
)}
{chatStore.history.length === 0 && (
<p className="opacity-60 p-6 rounded bg-white my-3 text-left dark:text-black">
</p>
)}
{chatStore.history.map((_, messageIndex) => (
<Message
chatStore={chatStore}
setChatStore={setChatStore}
messageIndex={messageIndex}
/>
))}
{showGenerating && (
<p className="p-2 my-2 animate-pulse dark:text-white">
{generatingMessage
? generatingMessage.split("\n").map((line) => <p>{line}</p>)
: "生成中,请保持网络稳定"}
...
</p>
)}
{showRetry && (
<p className="text-right p-2 my-2 dark:text-white">
<button
className="p-1 rounded bg-rose-500"
onClick={async () => {
setShowRetry(false);
await complete();
}}
>
Retry
</button>
</p>
)}
<div ref={messagesEndRef}></div>
</div>
<div className="flex justify-between">
<textarea
rows={Math.min(10, (inputMsg.match(/\n/g) || []).length + 2)}
value={inputMsg}
onChange={(event: any) => setInputMsg(event.target.value)}
onKeyPress={(event: any) => {
console.log(event);
if (event.ctrlKey && event.code === "Enter") {
send(event.target.value);
setInputMsg("");
return;
}
setInputMsg(event.target.value);
}}
className="rounded grow m-1 p-1 border-2 border-gray-400 w-0"
placeholder="Type here..."
></textarea>
<button
className="disabled:line-through disabled:bg-slate-500 rounded m-1 p-1 border-2 bg-cyan-400 hover:bg-cyan-600"
disabled={showGenerating || !chatStore.apiKey}
onClick={() => {
send(inputMsg);
}}
>
Send
</button>
</div>
</div>
);
}

View File

@@ -1,89 +1,15 @@
import { DefaultModel } from "@/const";
export interface ImageURL {
url: string;
detail: "low" | "high";
}
export interface MessageDetail {
type: "text" | "image_url";
text?: string;
image_url?: ImageURL;
}
export interface ToolCall {
index: number;
id?: string;
type: string;
function: {
name: string;
arguments: string;
};
}
export interface Message { export interface Message {
role: "system" | "user" | "assistant" | "tool"; role: "system" | "user" | "assistant";
content: string | MessageDetail[]; content: string;
name?: "example_user" | "example_assistant";
tool_calls?: ToolCall[];
tool_call_id?: string;
} }
interface Delta {
role?: string;
content?: string;
tool_calls?: ToolCall[];
}
interface Choices {
index: number;
delta: Delta;
finish_reason: string | null;
logprobs: Logprobs | null;
}
export interface Logprobs {
content: LogprobsContent[];
}
interface LogprobsContent {
token: string;
logprob: number;
}
export interface StreamingResponseChunk {
id: string;
object: string;
created: number;
model: string;
system_fingerprint: string;
choices: Choices[];
}
export const getMessageText = (message: Message): string => {
if (typeof message.content === "string") {
// function call message
if (message.tool_calls) {
return message.tool_calls
.map((tc) => {
return `Tool Call ID: ${tc.id}\nType: ${tc.type}\nFunction: ${tc.function.name}\nArguments: ${tc.function.arguments}}`;
})
.join("\n");
}
return message.content;
}
return message.content
.filter((c) => c.type === "text")
.map((c) => c?.text)
.join("\n");
};
export interface ChunkMessage { export interface ChunkMessage {
model: string;
choices: { choices: {
delta: { role: "assitant" | undefined; content: string | undefined }; delta: { role: "assitant" | undefined; content: string | undefined };
}[]; }[];
} }
export interface FetchResponse { export interface FetchResponse {
error?: any;
id: string; id: string;
object: string; object: string;
created: number; created: number;
@@ -97,219 +23,69 @@ export interface FetchResponse {
message: Message | undefined; message: Message | undefined;
finish_reason: "stop" | "length"; finish_reason: "stop" | "length";
index: number | undefined; index: number | undefined;
logprobs: Logprobs | null;
}[]; }[];
} }
function calculate_token_length_from_text(text: string): number {
const totalCount = text.length;
const chineseCount = text.match(/[\u00ff-\uffff]|\S+/g)?.length ?? 0;
const englishCount = totalCount - chineseCount;
const tokenLength = englishCount / 4 + (chineseCount * 4) / 3;
return ~~tokenLength;
}
// https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them
export function calculate_token_length(
content: string | MessageDetail[],
): number {
if (typeof content === "string") {
return calculate_token_length_from_text(content);
}
let tokens = 0;
for (const m of content) {
if (m.type === "text") {
tokens += calculate_token_length_from_text(m.text ?? "");
}
if (m.type === "image_url") {
tokens += m.image_url?.detail === "high" ? 65 * 4 : 65;
}
}
return tokens;
}
class Chat { class Chat {
OPENAI_API_KEY: string; OPENAI_API_KEY: string;
messages: Message[]; messages: Message[];
sysMessageContent: string; sysMessageContent: string;
toolsString: string;
total_tokens: number; total_tokens: number;
max_tokens: number; max_tokens: number;
max_gen_tokens: number;
enable_max_gen_tokens: boolean;
tokens_margin: number; tokens_margin: number;
apiEndpoint: string; apiEndpoint: string;
model: string;
temperature: number;
enable_temperature: boolean;
top_p: number;
enable_top_p: boolean;
presence_penalty: number;
frequency_penalty: number;
json_mode: boolean;
constructor( constructor(
OPENAI_API_KEY: string | undefined, OPENAI_API_KEY: string | undefined,
{ {
systemMessage = "", systemMessage = "你是一个有用的人工智能助理",
toolsString = "",
max_tokens = 4096, max_tokens = 4096,
max_gen_tokens = 2048,
enable_max_gen_tokens = true,
tokens_margin = 1024, tokens_margin = 1024,
apiEndPoint = "https://api.openai.com/v1/chat/completions", apiEndPoint = "https://api.openai.com/v1/chat/completions",
model = DefaultModel, } = {}
temperature = 1,
enable_temperature = true,
top_p = 1,
enable_top_p = false,
presence_penalty = 0,
frequency_penalty = 0,
json_mode = false,
} = {},
) { ) {
this.OPENAI_API_KEY = OPENAI_API_KEY ?? ""; if (OPENAI_API_KEY === undefined) {
throw "OPENAI_API_KEY is undefined";
}
this.OPENAI_API_KEY = OPENAI_API_KEY;
this.messages = []; this.messages = [];
this.total_tokens = calculate_token_length(systemMessage); this.total_tokens = 0;
this.max_tokens = max_tokens; this.max_tokens = max_tokens;
this.max_gen_tokens = max_gen_tokens;
this.enable_max_gen_tokens = enable_max_gen_tokens;
this.tokens_margin = tokens_margin; this.tokens_margin = tokens_margin;
this.sysMessageContent = systemMessage; this.sysMessageContent = systemMessage;
this.toolsString = toolsString;
this.apiEndpoint = apiEndPoint; this.apiEndpoint = apiEndPoint;
this.model = model;
this.temperature = temperature;
this.enable_temperature = enable_temperature;
this.top_p = top_p;
this.enable_top_p = enable_top_p;
this.presence_penalty = presence_penalty;
this.frequency_penalty = frequency_penalty;
this.json_mode = json_mode;
} }
_fetch(stream = false, logprobs = false) { _fetch(stream = false) {
// perform role type check
let hasNonSystemMessage = false;
for (const msg of this.messages) {
if (msg.role === "system" && !hasNonSystemMessage) {
continue;
}
if (!hasNonSystemMessage) {
hasNonSystemMessage = true;
continue;
}
if (msg.role === "system") {
console.log(
"Warning: detected system message in the middle of history",
);
}
}
for (const msg of this.messages) {
if (msg.name && msg.role !== "system") {
console.log(
"Warning: detected message where name field set but role is system",
);
}
}
const messages = [];
if (this.sysMessageContent.trim()) {
messages.push({ role: "system", content: this.sysMessageContent });
}
messages.push(...this.messages);
const body: any = {
model: this.model,
messages,
stream,
presence_penalty: this.presence_penalty,
frequency_penalty: this.frequency_penalty,
};
if (this.enable_temperature) {
body["temperature"] = this.temperature;
}
if (this.enable_top_p) {
body["top_p"] = this.top_p;
}
if (this.enable_max_gen_tokens) {
body["max_tokens"] = this.max_gen_tokens;
}
if (this.json_mode) {
body["response_format"] = {
type: "json_object",
};
}
if (logprobs) {
body["logprobs"] = true;
}
// parse toolsString to function call format
const ts = this.toolsString.trim();
if (ts) {
try {
const fcList: any[] = JSON.parse(ts);
body["tools"] = fcList;
} catch (e) {
console.log("toolsString parse error");
throw (
"Function call toolsString parse error, not a valied json list: " + e
);
}
}
const headers: Record<string, string> = {
"Content-Type": "application/json",
};
if (this.OPENAI_API_KEY) {
headers["Authorization"] = `Bearer ${this.OPENAI_API_KEY}`;
}
return fetch(this.apiEndpoint, { return fetch(this.apiEndpoint, {
method: "POST", method: "POST",
headers, headers: {
body: JSON.stringify(body), Authorization: `Bearer ${this.OPENAI_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "gpt-3.5-turbo",
messages: [
{ role: "system", content: this.sysMessageContent },
...this.messages,
],
stream,
}),
}); });
} }
async *processStreamResponse(resp: Response) { async fetch(): Promise<FetchResponse> {
const reader = resp?.body?.pipeThrough(new TextDecoderStream()).getReader(); const resp = await this._fetch();
if (reader === undefined) { return await resp.json();
console.log("reader is undefined");
return;
}
let receiving = true;
let buffer = "";
while (receiving) {
const { value, done } = await reader.read();
if (done) break;
buffer += value;
console.log("begin buffer", buffer);
if (!buffer.includes("\n")) continue;
const lines = buffer
.trim()
.split("\n")
.filter((line) => line.trim())
.map((line) => line.trim());
buffer = "";
for (const line of lines) {
console.log("line", line);
try {
const jsonStr = line.slice("data:".length).trim();
const json = JSON.parse(jsonStr) as StreamingResponseChunk;
yield json;
} catch (e) {
console.log(`Chunk parse error at: ${line}`);
buffer += line;
}
}
}
} }
processFetchResponse(resp: FetchResponse): Message { async say(content: string): Promise<string> {
if (resp.error !== undefined) { this.messages.push({ role: "user", content });
throw JSON.stringify(resp.error); await this.complete();
} return this.messages.slice(-1)[0].content;
}
processFetchResponse(resp: FetchResponse): string {
this.total_tokens = resp?.usage?.total_tokens ?? 0; this.total_tokens = resp?.usage?.total_tokens ?? 0;
if (resp?.choices[0]?.message) { if (resp?.choices[0]?.message) {
this.messages.push(resp?.choices[0]?.message); this.messages.push(resp?.choices[0]?.message);
@@ -321,26 +97,33 @@ class Chat {
this.forgetSomeMessages(); this.forgetSomeMessages();
} }
let content = resp.choices[0].message?.content ?? ""; return (
if ( resp?.choices[0]?.message?.content ?? `Error: ${JSON.stringify(resp)}`
!resp.choices[0]?.message?.content && );
!resp.choices[0]?.message?.tool_calls
) {
content = `Unparsed response: ${JSON.stringify(resp)}`;
}
return {
role: "assistant",
content,
tool_calls: resp?.choices[0]?.message?.tool_calls,
};
} }
calculate_token_length(content: string | MessageDetail[]): number { async complete(): Promise<string> {
return calculate_token_length(content); const resp = await this.fetch();
return this.processFetchResponse(resp);
} }
user(...messages: (string | MessageDetail[])[]) { completeWithSteam() {
this.total_tokens = this.messages
.map((msg) => this.calculate_token_length(msg.content) + 20)
.reduce((a, v) => a + v);
return this._fetch(true);
}
// https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them
calculate_token_length(content: string): number {
const totalCount = content.length;
const chineseCount = content.match(/[\u00ff-\uffff]|\S+/g)?.length ?? 0;
const englishCount = totalCount - chineseCount;
const tokenLength = englishCount / 4 + (chineseCount * 4) / 3;
return ~~tokenLength;
}
user(...messages: string[]) {
for (const msg of messages) { for (const msg of messages) {
this.messages.push({ role: "user", content: msg }); this.messages.push({ role: "user", content: msg });
this.total_tokens += this.calculate_token_length(msg); this.total_tokens += this.calculate_token_length(msg);
@@ -348,7 +131,7 @@ class Chat {
} }
} }
assistant(...messages: (string | MessageDetail[])[]) { assistant(...messages: string[]) {
for (const msg of messages) { for (const msg of messages) {
this.messages.push({ role: "assistant", content: msg }); this.messages.push({ role: "assistant", content: msg });
this.total_tokens += this.calculate_token_length(msg); this.total_tokens += this.calculate_token_length(msg);

View File

@@ -1,204 +0,0 @@
import {
CubeIcon,
BanknotesIcon,
ChatBubbleLeftEllipsisIcon,
ScissorsIcon,
SwatchIcon,
SparklesIcon,
} from "@heroicons/react/24/outline";
import { ChatStore } from "@/types/chatstore";
import { models } from "@/types/models";
import { Tr } from "@/translate";
import { getTotalCost } from "@/utils/totalCost";
const StatusBar = (props: {
chatStore: ChatStore;
setShowSettings: (show: boolean) => void;
setShowSearch: (show: boolean) => void;
}) => {
const { chatStore, setShowSettings, setShowSearch } = props;
return (
<div className="navbar bg-base-100 p-0">
<div className="navbar-start">
<div className="dropdown lg:hidden">
<div tabindex={0} role="button" className="btn btn-ghost btn-circle">
<svg
xmlns="http://www.w3.org/2000/svg"
className="h-6 w-6"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M4 6h16M4 12h16M4 18h7"
/>
</svg>
</div>
<ul
tabindex={0}
className="menu menu-sm dropdown-content bg-base-100 rounded-box z-[1] mt-3 w-52 p-2 shadow"
>
<li>
<p>
<ChatBubbleLeftEllipsisIcon className="h-4 w-4" />
Tokens: {chatStore.totalTokens}/{chatStore.maxTokens}
</p>
</li>
<li>
<p>
<ScissorsIcon className="h-4 w-4" />
Cut:
{chatStore.postBeginIndex}/
{chatStore.history.filter(({ hide }) => !hide).length}
</p>
</li>
<li>
<p>
<BanknotesIcon className="h-4 w-4" />
Cost: ${chatStore.cost.toFixed(4)}
</p>
</li>
</ul>
</div>
</div>
<div
className="navbar-center cursor-pointer py-1"
onClick={() => {
setShowSettings(true);
}}
>
{/* the long staus bar */}
<div className="stats shadow hidden lg:inline-grid">
<div className="stat">
<div className="stat-figure text-secondary">
<CubeIcon className="h-10 w-10" />
</div>
<div className="stat-title">Model</div>
<div className="stat-value text-base">{chatStore.model}</div>
<div className="stat-desc">
{models[chatStore.model]?.price?.prompt * 1000 * 1000} $/M tokens
</div>
</div>
<div className="stat">
<div className="stat-figure text-secondary">
<SwatchIcon className="h-10 w-10" />
</div>
<div className="stat-title">Mode</div>
<div className="stat-value text-base">
{chatStore.streamMode ? Tr("STREAM") : Tr("FETCH")}
</div>
<div className="stat-desc">STREAM/FETCH</div>
</div>
<div className="stat">
<div className="stat-figure text-secondary">
<ChatBubbleLeftEllipsisIcon className="h-10 w-10" />
</div>
<div className="stat-title">Tokens</div>
<div className="stat-value text-base">{chatStore.totalTokens}</div>
<div className="stat-desc">Max: {chatStore.maxTokens}</div>
</div>
<div className="stat">
<div className="stat-figure text-secondary">
<ScissorsIcon className="h-10 w-10" />
</div>
<div className="stat-title">Cut</div>
<div className="stat-value text-base">
{chatStore.postBeginIndex}
</div>
<div className="stat-desc">
Max: {chatStore.history.filter(({ hide }) => !hide).length}
</div>
</div>
<div className="stat">
<div className="stat-figure text-secondary">
<BanknotesIcon className="h-10 w-10" />
</div>
<div className="stat-title">Cost</div>
<div className="stat-value text-base">
${chatStore.cost.toFixed(4)}
</div>
<div className="stat-desc">
Accumulated: ${getTotalCost().toFixed(2)}
</div>
</div>
</div>
{/* the short status bar */}
<div className="indicator lg:hidden">
{chatStore.totalTokens !== 0 && (
<span className="indicator-item badge badge-primary">
Tokens: {chatStore.totalTokens}
</span>
)}
<a className="btn btn-ghost text-base sm:text-xl p-0">
<SparklesIcon className="h-4 w-4 hidden sm:block" />
{chatStore.model}
</a>
</div>
</div>
<div className="navbar-end">
<button
className="btn btn-ghost btn-circle"
onClick={(event) => {
// stop propagation to parent
event.stopPropagation();
setShowSearch(true);
}}
>
<svg
xmlns="http://www.w3.org/2000/svg"
className="h-6 w-6"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M21 21l-6-6m2-5a7 7 0 11-14 0 7 7 0 0114 0z"
/>
</svg>
</button>
<button
className="btn btn-ghost btn-circle hidden sm:block"
onClick={() => setShowSettings(true)}
>
<div className="indicator">
<svg
xmlns="http://www.w3.org/2000/svg"
fill="none"
viewBox="0 0 24 24"
stroke-width="1.5"
stroke="currentColor"
className="h-6 w-6"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M9.594 3.94c.09-.542.56-.94 1.11-.94h2.593c.55 0 1.02.398 1.11.94l.213 1.281c.063.374.313.686.645.87.074.04.147.083.22.127.325.196.72.257 1.075.124l1.217-.456a1.125 1.125 0 0 1 1.37.49l1.296 2.247a1.125 1.125 0 0 1-.26 1.431l-1.003.827c-.293.241-.438.613-.43.992a7.723 7.723 0 0 1 0 .255c-.008.378.137.75.43.991l1.004.827c.424.35.534.955.26 1.43l-1.298 2.247a1.125 1.125 0 0 1-1.369.491l-1.217-.456c-.355-.133-.75-.072-1.076.124a6.47 6.47 0 0 1-.22.128c-.331.183-.581.495-.644.869l-.213 1.281c-.09.543-.56.94-1.11.94h-2.594c-.55 0-1.019-.398-1.11-.94l-.213-1.281c-.062-.374-.312-.686-.644-.87a6.52 6.52 0 0 1-.22-.127c-.325-.196-.72-.257-1.076-.124l-1.217.456a1.125 1.125 0 0 1-1.369-.49l-1.297-2.247a1.125 1.125 0 0 1 .26-1.431l1.004-.827c.292-.24.437-.613.43-.991a6.932 6.932 0 0 1 0-.255c.007-.38-.138-.751-.43-.992l-1.004-.827a1.125 1.125 0 0 1-.26-1.43l1.297-2.247a1.125 1.125 0 0 1 1.37-.491l1.216.456c.356.133.751.072 1.076-.124.072-.044.146-.086.22-.128.332-.183.582-.495.644-.869l.214-1.28Z"
/>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M15 12a3 3 0 1 1-6 0 3 3 0 0 1 6 0Z"
/>
</svg>
<span className="badge badge-xs badge-primary indicator-item"></span>
</div>
</button>
</div>
</div>
);
};
export default StatusBar;

View File

@@ -1,113 +0,0 @@
import { TemplateChatStore } from "@/types/chatstore";
import { ChatStore } from "@/types/chatstore";
import { getDefaultParams } from "@/utils/getDefaultParam";
const Templates = (props: {
templates: TemplateChatStore[];
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
setTemplates: (templates: TemplateChatStore[]) => void;
}) => {
const { templates, chatStore, setChatStore, setTemplates } = props;
return (
<>
{templates.map((t, index) => (
<div
className="cursor-pointer rounded bg-green-400 w-fit p-2 m-1 flex flex-col"
onClick={() => {
const newChatStore: ChatStore = structuredClone(t);
// @ts-ignore
delete newChatStore.name;
if (!newChatStore.apiEndpoint) {
newChatStore.apiEndpoint = getDefaultParams(
"api",
chatStore.apiEndpoint,
);
}
if (!newChatStore.apiKey) {
newChatStore.apiKey = getDefaultParams("key", chatStore.apiKey);
}
if (!newChatStore.whisper_api) {
newChatStore.whisper_api = getDefaultParams(
"whisper-api",
chatStore.whisper_api,
);
}
if (!newChatStore.whisper_key) {
newChatStore.whisper_key = getDefaultParams(
"whisper-key",
chatStore.whisper_key,
);
}
if (!newChatStore.tts_api) {
newChatStore.tts_api = getDefaultParams(
"tts-api",
chatStore.tts_api,
);
}
if (!newChatStore.tts_key) {
newChatStore.tts_key = getDefaultParams(
"tts-key",
chatStore.tts_key,
);
}
if (!newChatStore.image_gen_api) {
newChatStore.image_gen_api = getDefaultParams(
"image-gen-api",
chatStore.image_gen_api,
);
}
if (!newChatStore.image_gen_key) {
newChatStore.image_gen_key = getDefaultParams(
"image-gen-key",
chatStore.image_gen_key,
);
}
newChatStore.cost = 0;
// manage undefined value because of version update
newChatStore.toolsString = newChatStore.toolsString || "";
setChatStore({ ...newChatStore });
}}
>
<span className="w-full text-center">{t.name}</span>
<hr className="mt-2" />
<span className="flex justify-between">
<button
onClick={(event) => {
// prevent triggert other event
event.stopPropagation();
const name = prompt("Give template a name");
if (!name) {
return;
}
t.name = name;
setTemplates(structuredClone(templates));
}}
>
🖋
</button>
<button
onClick={(event) => {
// prevent triggert other event
event.stopPropagation();
if (!confirm("Are you sure to delete this template?")) {
return;
}
templates.splice(index, 1);
setTemplates(structuredClone(templates));
}}
>
</button>
</span>
</div>
))}
</>
);
};
export default Templates;

View File

@@ -1,49 +0,0 @@
import { ChatStore } from "@/types/chatstore";
import { Tr } from "@/translate";
const VersionHint = (props: { chatStore: ChatStore }) => {
const { chatStore } = props;
return (
<>
{chatStore.chatgpt_api_web_version < "v1.3.0" && (
<p className="p-2 my-2 text-center dark:text-white">
<br />
{Tr("Warning: current chatStore version")}:{" "}
{chatStore.chatgpt_api_web_version} {"< v1.3.0"}
<br />
v1.3.0
使
<br />
</p>
)}
{chatStore.chatgpt_api_web_version < "v1.4.0" && (
<p className="p-2 my-2 text-center dark:text-white">
<br />
{Tr("Warning: current chatStore version")}:{" "}
{chatStore.chatgpt_api_web_version} {"< v1.4.0"}
<br />
v1.4.0 使
<br />
</p>
)}
{chatStore.chatgpt_api_web_version < "v1.6.0" && (
<p className="p-2 my-2 text-center dark:text-white">
<br />
{chatStore.chatgpt_api_web_version}
{Tr("Warning: current chatStore version")}:{" "}
{chatStore.chatgpt_api_web_version} {"< v1.6.0"}
<br />
v1.6.0 apiKey apiEndpoint
使
<br />
</p>
)}
</>
);
};
export default VersionHint;

View File

@@ -1,132 +0,0 @@
import { createRef } from "preact";
import { ChatStore } from "@/types/chatstore";
import { StateUpdater, useEffect, useState, Dispatch } from "preact/hooks";
const WhisperButton = (props: {
chatStore: ChatStore;
inputMsg: string;
setInputMsg: Dispatch<StateUpdater<string>>;
}) => {
const { chatStore, inputMsg, setInputMsg } = props;
const mediaRef = createRef();
const [isRecording, setIsRecording] = useState("Mic");
return (
<button
className={`btn disabled:line-through disabled:btn-neutral disabled:text-white m-1 p-1 ${
isRecording === "Recording" ? "btn-error" : "btn-success"
} ${isRecording !== "Mic" ? "animate-pulse" : ""}`}
disabled={isRecording === "Transcribing"}
ref={mediaRef}
onClick={async () => {
if (isRecording === "Recording") {
// @ts-ignore
window.mediaRecorder.stop();
setIsRecording("Transcribing");
return;
}
// build prompt
const prompt = [chatStore.systemMessageContent]
.concat(
chatStore.history
.filter(({ hide }) => !hide)
.slice(chatStore.postBeginIndex)
.map(({ content }) => {
if (typeof content === "string") {
return content;
} else {
return content.map((c) => c?.text).join(" ");
}
}),
)
.concat([inputMsg])
.join(" ");
console.log({ prompt });
setIsRecording("Recording");
console.log("start recording");
try {
const mediaRecorder = new MediaRecorder(
await navigator.mediaDevices.getUserMedia({
audio: true,
}),
{ audioBitsPerSecond: 64 * 1000 },
);
// mount mediaRecorder to ref
// @ts-ignore
window.mediaRecorder = mediaRecorder;
mediaRecorder.start();
const audioChunks: Blob[] = [];
mediaRecorder.addEventListener("dataavailable", (event) => {
audioChunks.push(event.data);
});
mediaRecorder.addEventListener("stop", async () => {
// Stop the MediaRecorder
mediaRecorder.stop();
// Stop the media stream
mediaRecorder.stream.getTracks()[0].stop();
setIsRecording("Transcribing");
const audioBlob = new Blob(audioChunks);
const audioUrl = URL.createObjectURL(audioBlob);
console.log({ audioUrl });
const audio = new Audio(audioUrl);
// audio.play();
const reader = new FileReader();
reader.readAsDataURL(audioBlob);
// file-like object with mimetype
const blob = new Blob([audioBlob], {
type: "application/octet-stream",
});
reader.onloadend = async () => {
try {
const base64data = reader.result;
// post to openai whisper api
const formData = new FormData();
// append file
formData.append("file", blob, "audio.ogg");
formData.append("model", "whisper-1");
formData.append("response_format", "text");
formData.append("prompt", prompt);
const response = await fetch(chatStore.whisper_api, {
method: "POST",
headers: {
Authorization: `Bearer ${
chatStore.whisper_key || chatStore.apiKey
}`,
},
body: formData,
});
const text = await response.text();
setInputMsg(inputMsg ? inputMsg + " " + text : text);
} catch (error) {
alert(error);
console.log(error);
} finally {
setIsRecording("Mic");
}
};
});
} catch (error) {
alert(error);
console.log(error);
setIsRecording("Mic");
}
}}
>
{isRecording}
</button>
);
};
export default WhisperButton;

View File

@@ -1,14 +0,0 @@
export const DefaultAPIEndpoint = "https://api.openai.com/v1/chat/completions";
export const CHATGPT_API_WEB_VERSION = "v2.1.0";
export const DefaultModel = "gpt-4o-mini";
export const STORAGE_NAME = "chatgpt-api-web";
export const STORAGE_NAME_SELECTED = `${STORAGE_NAME}-selected`;
export const STORAGE_NAME_INDEXES = `${STORAGE_NAME}-indexes`;
export const STORAGE_NAME_TOTALCOST = `${STORAGE_NAME}-totalcost`;
export const STORAGE_NAME_TEMPLATE = `${STORAGE_NAME}-template`;
export const STORAGE_NAME_TEMPLATE_API = `${STORAGE_NAME_TEMPLATE}-api`;
export const STORAGE_NAME_TEMPLATE_API_WHISPER = `${STORAGE_NAME_TEMPLATE}-api-whisper`;
export const STORAGE_NAME_TEMPLATE_API_TTS = `${STORAGE_NAME_TEMPLATE}-api-tts`;
export const STORAGE_NAME_TEMPLATE_API_IMAGE_GEN = `${STORAGE_NAME_TEMPLATE}-api-image-gen`;
export const STORAGE_NAME_TEMPLATE_TOOLS = `${STORAGE_NAME_TEMPLATE}-tools`;

View File

@@ -1,80 +0,0 @@
import { useState, useEffect, StateUpdater, Dispatch } from "preact/hooks";
import { Tr, langCodeContext, LANG_OPTIONS, tr } from "@/translate";
import { ChatStore, ChatStoreMessage } from "@/types/chatstore";
import { EditMessageString } from "@/editMessageString";
import { EditMessageDetail } from "@/editMessageDetail";
interface EditMessageProps {
chat: ChatStoreMessage;
chatStore: ChatStore;
setShowEdit: Dispatch<StateUpdater<boolean>>;
setChatStore: (cs: ChatStore) => void;
}
export function EditMessage(props: EditMessageProps) {
const { setShowEdit, chat, setChatStore, chatStore } = props;
return (
<div
className={
"absolute bg-black bg-opacity-50 w-full h-full top-0 left-0 rounded z-10 overflow-scroll"
}
onClick={() => setShowEdit(false)}
>
<div
className="m-10 p-2 bg-white rounded"
onClick={(event: any) => {
event.stopPropagation();
}}
>
{typeof chat.content === "string" ? (
<EditMessageString
chat={chat}
chatStore={chatStore}
setChatStore={setChatStore}
setShowEdit={setShowEdit}
/>
) : (
<EditMessageDetail
chat={chat}
chatStore={chatStore}
setChatStore={setChatStore}
setShowEdit={setShowEdit}
/>
)}
<div className={"w-full flex justify-center"}>
{chatStore.develop_mode && (
<button
className="w-full m-2 p-1 rounded bg-red-500"
onClick={() => {
const confirm = window.confirm(
"Change message type will clear the content, are you sure?",
);
if (!confirm) return;
if (typeof chat.content === "string") {
chat.content = [];
} else {
chat.content = "";
}
setChatStore({ ...chatStore });
}}
>
Switch to{" "}
{typeof chat.content === "string"
? "media message"
: "string message"}
</button>
)}
<button
className={"w-full m-2 p-1 rounded bg-purple-500"}
onClick={() => {
setShowEdit(false);
}}
>
{Tr("Close")}
</button>
</div>
</div>
</div>
);
}

View File

@@ -1,161 +0,0 @@
import { ChatStore, ChatStoreMessage } from "@/types/chatstore";
import { calculate_token_length } from "@/chatgpt";
import { Tr } from "@/translate";
interface Props {
chat: ChatStoreMessage;
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
setShowEdit: (se: boolean) => void;
}
export function EditMessageDetail({
chat,
chatStore,
setChatStore,
setShowEdit,
}: Props) {
if (typeof chat.content !== "object") return <div>error</div>;
return (
<div
className={"w-full h-full flex flex-col overflow-scroll"}
onClick={(event) => event.stopPropagation()}
>
{chat.content.map((mdt, index) => (
<div className={"w-full p-2 px-4"}>
<div className="flex justify-center">
{mdt.type === "text" ? (
<textarea
className={"w-full border p-1 rounded"}
value={mdt.text}
onChange={(event: any) => {
if (typeof chat.content === "string") return;
chat.content[index].text = event.target.value;
chat.token = calculate_token_length(chat.content);
console.log("calculated token length", chat.token);
setChatStore({ ...chatStore });
}}
onKeyPress={(event: any) => {
if (event.keyCode == 27) {
setShowEdit(false);
}
}}
></textarea>
) : (
<div className="border p-1 rounded">
<img
className="max-h-32 max-w-xs cursor-pointer m-2"
src={mdt.image_url?.url}
onClick={() => {
window.open(mdt.image_url?.url, "_blank");
}}
/>
<button
className="bg-blue-300 p-1 rounded m-1"
onClick={() => {
const image_url = prompt("image url", mdt.image_url?.url);
if (image_url) {
if (typeof chat.content === "string") return;
const obj = chat.content[index].image_url;
if (obj === undefined) return;
obj.url = image_url;
setChatStore({ ...chatStore });
}
}}
>
{Tr("Edit URL")}
</button>
<button
className="bg-blue-300 p-1 rounded m-1"
onClick={() => {
// select file and load it to base64 image URL format
const input = document.createElement("input");
input.type = "file";
input.accept = "image/*";
input.onchange = (event) => {
const file = (event.target as HTMLInputElement)
.files?.[0];
if (!file) {
return;
}
const reader = new FileReader();
reader.readAsDataURL(file);
reader.onloadend = () => {
const base64data = reader.result;
if (!base64data) return;
if (typeof chat.content === "string") return;
const obj = chat.content[index].image_url;
if (obj === undefined) return;
obj.url = String(base64data);
setChatStore({ ...chatStore });
};
};
input.click();
}}
>
{Tr("Upload")}
</button>
<span
className="bg-blue-300 p-1 rounded m-1"
onClick={() => {
if (typeof chat.content === "string") return;
const obj = chat.content[index].image_url;
if (obj === undefined) return;
obj.detail = obj.detail === "high" ? "low" : "high";
chat.token = calculate_token_length(chat.content);
setChatStore({ ...chatStore });
}}
>
<label>High Resolution</label>
<input
type="checkbox"
checked={mdt.image_url?.detail === "high"}
/>
</span>
</div>
)}
<button
onClick={() => {
if (typeof chat.content === "string") return;
chat.content.splice(index, 1);
chat.token = calculate_token_length(chat.content);
setChatStore({ ...chatStore });
}}
>
</button>
</div>
</div>
))}
<button
className={"m-2 p-1 rounded bg-green-500"}
onClick={() => {
if (typeof chat.content === "string") return;
chat.content.push({
type: "text",
text: "",
});
setChatStore({ ...chatStore });
}}
>
{Tr("Add text")}
</button>
<button
className={"m-2 p-1 rounded bg-green-500"}
onClick={() => {
if (typeof chat.content === "string") return;
chat.content.push({
type: "image_url",
image_url: {
url: "",
detail: "high",
},
});
setChatStore({ ...chatStore });
}}
>
{Tr("Add image")}
</button>
</div>
);
}

View File

@@ -1,119 +0,0 @@
import { ChatStore, ChatStoreMessage } from "@/types/chatstore";
import { isVailedJSON } from "@/message";
import { calculate_token_length } from "@/chatgpt";
import { Tr } from "@/translate";
interface Props {
chat: ChatStoreMessage;
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
setShowEdit: (se: boolean) => void;
}
export function EditMessageString({
chat,
chatStore,
setChatStore,
setShowEdit,
}: Props) {
if (typeof chat.content !== "string") return <div>error</div>;
return (
<div className="flex flex-col">
{chat.tool_call_id && (
<span className="my-2">
<label>tool_call_id: </label>
<input
className="rounded border border-gray-400"
value={chat.tool_call_id}
onChange={(event: any) => {
chat.tool_call_id = event.target.value;
setChatStore({ ...chatStore });
}}
/>
</span>
)}
{chat.tool_calls &&
chat.tool_calls.map((tool_call) => (
<div className="flex flex-col w-full">
<span className="my-2 w-full">
<label>Tool Call ID: </label>
<input
value={tool_call.id}
className="rounded border border-gray-400"
/>
</span>
<span className="my-2 w-full">
<label>Function: </label>
<input
value={tool_call.function.name}
className="rounded border border-gray-400"
/>
</span>
<span className="my-2">
<label>Arguments: </label>
<span className="underline">
Vailed JSON:{" "}
{isVailedJSON(tool_call.function.arguments) ? "🆗" : "❌"}
</span>
<textarea
className="rounded border border-gray-400 w-full h-32 my-2"
value={tool_call.function.arguments}
onChange={(event: any) => {
tool_call.function.arguments = event.target.value.trim();
setChatStore({ ...chatStore });
}}
></textarea>
</span>
<span className="flex flex-col my-2 justify-between">
<button
className="bg-red-300 text-black p-1 rounded"
onClick={() => {
if (!chat.tool_calls) return;
chat.tool_calls = chat.tool_calls.filter(
(tc) => tc.id !== tool_call.id,
);
setChatStore({ ...chatStore });
}}
>
{Tr("Delete this tool call")}
</button>
</span>
<hr className="my-2" />
<span className="flex flex-col my-2 justify-between">
<button
className="bg-blue-300 text-black p-1 rounded"
onClick={() => {
if (!chat.tool_calls) return;
chat.tool_calls.push({
type: "function",
index: chat.tool_calls.length,
id: "",
function: {
name: "",
arguments: "",
},
});
setChatStore({ ...chatStore });
}}
>
{Tr("Add a tool call")}
</button>
</span>
</div>
))}
<textarea
className="rounded border border-gray-400 w-full h-32 my-2"
value={chat.content}
onChange={(event: any) => {
chat.content = event.target.value;
chat.token = calculate_token_length(chat.content);
setChatStore({ ...chatStore });
}}
onKeyPress={(event: any) => {
if (event.keyCode == 27) {
setShowEdit(false);
}
}}
></textarea>
</div>
);
}

18
src/getDefaultParam.ts Normal file
View File

@@ -0,0 +1,18 @@
function getDefaultParams(param: string, val: string): string;
function getDefaultParams(param: string, val: number): number;
function getDefaultParams(param: string, val: boolean): boolean;
function getDefaultParams(param: any, val: any) {
const queryParameters = new URLSearchParams(window.location.search);
const get = queryParameters.get(param);
if (typeof val === "string") {
return get ?? val;
} else if (typeof val === "number") {
return parseInt(get ?? `${val}`);
} else if (typeof val === "boolean") {
if (get === "stream") return true;
if (get === "fetch") return false;
return val;
}
}
export default getDefaultParams;

View File

@@ -2,12 +2,6 @@
@tailwind components; @tailwind components;
@tailwind utilities; @tailwind utilities;
html,
body,
#app {
height: 100%;
}
/* Hide scrollbar for webkit based browsers */ /* Hide scrollbar for webkit based browsers */
::-webkit-scrollbar { ::-webkit-scrollbar {
display: none; display: none;
@@ -28,124 +22,6 @@ body::-webkit-scrollbar {
display: none; display: none;
} }
.message-content { p.message-content {
white-space: pre-wrap; white-space: pre-wrap;
word-wrap: anywhere;
}
.markup > h2 {
padding-bottom: 0.3em;
font-size: 1.5em;
border-bottom: 1px solid var(--borderColor-muted, var(--color-border-muted));
margin-top: 24px;
margin-bottom: 16px;
line-height: 1.25;
}
.markup > h2::after {
content: "";
display: block;
height: 1px;
width: 100%;
background: gray;
}
.markup > h1 {
margin-top: 0;
padding-bottom: 0.3em;
font-size: 2em;
border-bottom: 1px solid var(--borderColor-muted, var(--color-border-muted));
margin-bottom: 16px;
line-height: 1.25;
}
.markup > h1::after {
content: "";
display: block;
height: 1px;
width: 100%;
background: gray;
}
.markup > p {
margin-top: 0;
margin-bottom: 16px;
}
.markup > code {
padding: 0.2em 0.4em;
margin: 0;
font-size: 85%;
white-space: break-space;
background-color: rgba(175, 184, 193, 0.2);
border-radius: 6px;
font-family:
ui-monospace,
SFMono-Regular,
SF Mono,
Menlo,
Consolas,
Liberation Mono,
monospace;
}
.markup > pre {
padding: 16px;
overflow: auto;
font-size: 85%;
line-height: 1.45;
color: #1f2328;
background-color: #f6f8fa;
border-radius: 6px;
}
.markup table {
width: 100%;
border-collapse: collapse;
margin: 20px 0;
font-family: "Arial", sans-serif;
color: #333;
background-color: #f8f8f8;
box-shadow: 0 2px 3px rgba(0, 0, 0, 0.1);
}
.markup th,
.markup td {
padding: 12px 15px;
text-align: left;
border-bottom: 1px solid #ddd;
}
.markup thead th {
background-color: #4caf50;
color: white;
font-weight: bold;
border-bottom: 2px solid #ddd;
}
.markup tbody tr:nth-child(even) {
background-color: #f2f2f2;
}
.markup tbody tr:hover {
background-color: #e9e9e9;
}
.markup tbody td {
position: relative;
}
.markup tbody td:hover::after {
content: "";
position: absolute;
left: 0;
top: 0;
width: 100%;
height: 100%;
background-color: #f5f5f5;
z-index: -1;
}
.stat {
padding: 0.39rem;
} }

View File

@@ -1,24 +0,0 @@
import { STORAGE_NAME } from "@/const";
import { ChatStore } from "@/types/chatstore";
import { IDBPDatabase, IDBPTransaction, StoreNames } from "idb";
import { upgradeV1 } from "@/indexedDB/v1";
import { upgradeV11 } from "./v11";
export async function upgrade(
db: IDBPDatabase<ChatStore>,
oldVersion: number,
newVersion: number,
transaction: IDBPTransaction<
ChatStore,
StoreNames<ChatStore>[],
"versionchange"
>,
) {
if (oldVersion < 1) {
upgradeV1(db, oldVersion, newVersion, transaction);
}
if (oldVersion < 11) {
upgradeV11(db, oldVersion, newVersion, transaction);
}
}

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@@ -1,38 +0,0 @@
import { STORAGE_NAME, STORAGE_NAME_INDEXES } from "@/const";
import { ChatStore } from "@/types/chatstore";
import { IDBPDatabase, IDBPTransaction, StoreNames } from "idb";
export async function upgradeV1(
db: IDBPDatabase<ChatStore>,
oldVersion: number,
newVersion: number,
transaction: IDBPTransaction<
ChatStore,
StoreNames<ChatStore>[],
"versionchange"
>,
) {
const store = db.createObjectStore(STORAGE_NAME, {
autoIncrement: true,
});
// copy from localStorage to indexedDB
const allChatStoreIndexes: number[] = JSON.parse(
localStorage.getItem(STORAGE_NAME_INDEXES) ?? "[]",
);
let keyCount = 0;
for (const i of allChatStoreIndexes) {
console.log("importing chatStore from localStorage", i);
const key = `${STORAGE_NAME}-${i}`;
const val = localStorage.getItem(key);
if (val === null) continue;
store.add(JSON.parse(val));
keyCount += 1;
}
// setSelectedChatIndex(keyCount);
if (keyCount > 0) {
alert(
"v2.0.0 Update: Imported chat history from localStorage to indexedDB. 🎉",
);
}
}

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@@ -1,25 +0,0 @@
import { ChatStore } from "@/types/chatstore";
import { STORAGE_NAME } from "@/const";
import { IDBPDatabase, IDBPTransaction, StoreNames } from "idb";
export async function upgradeV11(
db: IDBPDatabase<ChatStore>,
oldVersion: number,
newVersion: number,
transaction: IDBPTransaction<
ChatStore,
StoreNames<ChatStore>[],
"versionchange"
>,
) {
if (oldVersion < 11 && oldVersion >= 1) {
alert("Start upgrading storage, just a sec... (Click OK to continue)");
}
if (
transaction
.objectStore(STORAGE_NAME)
.indexNames.contains("contents_for_index")
) {
transaction.objectStore(STORAGE_NAME).deleteIndex("contents_for_index");
}
}

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@@ -1,82 +0,0 @@
import { ChatStore, TemplateAPI } from "@/types/chatstore";
import { Tr } from "@/translate";
interface Props {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
tmps: TemplateAPI[];
setTmps: (tmps: TemplateAPI[]) => void;
label: string;
apiField: string;
keyField: string;
}
export function ListAPIs({
tmps,
setTmps,
chatStore,
setChatStore,
label,
apiField,
keyField,
}: Props) {
return (
<div className="break-all opacity-80 p-3 rounded base-200 my-3 text-left">
<h2>{Tr(`Saved ${label} templates`)}</h2>
<hr className="my-2" />
<div className="flex flex-wrap">
{tmps.map((t, index) => (
<div
className={`cursor-pointer rounded ${
// @ts-ignore
chatStore[apiField] === t.endpoint &&
// @ts-ignore
chatStore[keyField] === t.key
? "bg-info"
: "bg-base-300"
} w-fit p-2 m-1 flex flex-col`}
onClick={() => {
// @ts-ignore
chatStore[apiField] = t.endpoint;
// @ts-ignore
chatStore[keyField] = t.key;
setChatStore({ ...chatStore });
}}
>
<span className="w-full text-center">{t.name}</span>
<span className="flex justify-between gap-x-2">
<button
className="link"
onClick={() => {
const name = prompt(`Give **${label}** template a name`);
if (!name) {
return;
}
t.name = name;
setTmps(structuredClone(tmps));
}}
>
Edit
</button>
<button
className="link"
onClick={() => {
if (
!confirm(
`Are you sure to delete this **${label}** template?`,
)
) {
return;
}
tmps.splice(index, 1);
setTmps(structuredClone(tmps));
}}
>
Delete
</button>
</span>
</div>
))}
</div>
</div>
);
}

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@@ -1,79 +0,0 @@
import { ChatStore, TemplateTools } from "@/types/chatstore";
import { Tr } from "@/translate";
interface Props {
templateTools: TemplateTools[];
setTemplateTools: (tmps: TemplateTools[]) => void;
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
}
export function ListToolsTempaltes({
chatStore,
templateTools,
setTemplateTools,
setChatStore,
}: Props) {
return (
<div className="break-all opacity-80 p-3 rounded bg-white my-3 text-left dark:text-black">
<h2>
<span>{Tr(`Saved tools templates`)}</span>
<button
className="mx-2 underline cursor-pointer"
onClick={() => {
chatStore.toolsString = "";
setChatStore({ ...chatStore });
}}
>
{Tr(`Clear`)}
</button>
</h2>
<hr className="my-2" />
<div className="flex flex-wrap">
{templateTools.map((t, index) => (
<div
className={`cursor-pointer rounded ${
chatStore.toolsString === t.toolsString
? "bg-info"
: "bg-base-300"
} w-fit p-2 m-1 flex flex-col`}
onClick={() => {
chatStore.toolsString = t.toolsString;
setChatStore({ ...chatStore });
}}
>
<span className="w-full text-center">{t.name}</span>
<span className="flex justify-between gap-x-2">
<button
className="link"
onClick={() => {
const name = prompt(`Give **tools** template a name`);
if (!name) {
return;
}
t.name = name;
setTemplateTools(structuredClone(templateTools));
}}
>
Edit
</button>
<button
className="link"
onClick={() => {
if (
!confirm(`Are you sure to delete this **tools** template?`)
) {
return;
}
templateTools.splice(index, 1);
setTemplateTools(structuredClone(templateTools));
}}
>
Delete
</button>
</span>
</div>
))}
</div>
</div>
);
}

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@@ -1,14 +0,0 @@
const logprobToColor = (logprob: number) => {
// 将logprob转换为百分比
const percent = Math.exp(logprob) * 100;
// 计算颜色值
// 绿色的RGB值为(0, 255, 0)红色的RGB值为(255, 0, 0)
const red = Math.round(255 * (1 - percent / 100));
const green = Math.round(255 * (percent / 100));
const color = `rgba(${red}, ${green}, 0, 0.5)`;
return color;
};
export default logprobToColor;

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@@ -1,54 +1,4 @@
import { themeChange } from "theme-change"; import { render } from 'preact'
import { render } from "preact"; import { App } from './app'
import { useState, useEffect } from "preact/hooks";
import { App } from "@/pages/App";
import { Tr, langCodeContext, LANG_OPTIONS } from "@/translate";
function Base() { render(<App />, document.getElementById('app') as HTMLElement)
const [langCode, _setLangCode] = useState("en-US");
const setLangCode = (langCode: string) => {
_setLangCode(langCode);
if (!localStorage) return;
localStorage.setItem("chatgpt-api-web-lang", langCode);
};
// select language
useEffect(() => {
themeChange(false);
// query localStorage
if (localStorage) {
const lang = localStorage.getItem("chatgpt-api-web-lang");
if (lang) {
console.log(`query langCode ${lang} from localStorage`);
_setLangCode(lang);
return;
}
}
const browserCode = window.navigator.language;
for (const key in LANG_OPTIONS) {
for (const i in LANG_OPTIONS[key].matches) {
const code = LANG_OPTIONS[key].matches[i];
if (code === browserCode) {
console.log(`set langCode to "${code}"`);
setLangCode(key);
return;
}
}
}
// fallback to english
console.log('fallback langCode to "en-US"');
setLangCode("en-US");
}, []);
return (
/* @ts-ignore */
<langCodeContext.Provider value={{ langCode, setLangCode }}>
<App />
</langCodeContext.Provider>
);
}
render(<Base />, document.getElementById("app") as HTMLElement);

View File

@@ -1,261 +1,72 @@
import { XMarkIcon } from "@heroicons/react/24/outline";
import Markdown from "preact-markdown"; import Markdown from "preact-markdown";
import { useState, useEffect, StateUpdater } from "preact/hooks"; import { ChatStore } from "./app";
import { Tr, langCodeContext, LANG_OPTIONS } from "@/translate"; const Pre: React.FC<any> = ({ children, props }) => (
import { ChatStore, ChatStoreMessage } from "@/types/chatstore"; <div class="rounded p-1 bg-black text-white" {...props}>{children}</div>
import { calculate_token_length, getMessageText } from "@/chatgpt"; );
import TTSButton, { TTSPlay } from "@/tts"; const Code: React.FC<any> = ({ children }) => <code className="overflow-scroll break-keep">{children}</code>;
import { MessageHide } from "@/messageHide";
import { MessageDetail } from "@/messageDetail";
import { MessageToolCall } from "@/messageToolCall";
import { MessageToolResp } from "@/messageToolResp";
import { EditMessage } from "@/editMessage";
import logprobToColor from "@/logprob";
export const isVailedJSON = (str: string): boolean => {
try {
JSON.parse(str);
} catch (e) {
return false;
}
return true;
};
interface Props { interface Props {
messageIndex: number; messageIndex: number;
chatStore: ChatStore; chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void; setChatStore: (cs: ChatStore) => void;
} }
export default function Message(props: Props) { export default function Message(props: Props) {
const { chatStore, messageIndex, setChatStore } = props; const { chatStore, messageIndex, setChatStore } = props;
const chat = chatStore.history[messageIndex]; const chat = chatStore.history[messageIndex];
const [showEdit, setShowEdit] = useState(false);
const [showCopiedHint, setShowCopiedHint] = useState(false);
const [renderMarkdown, setRenderWorkdown] = useState(false);
const [renderColor, setRenderColor] = useState(false);
const DeleteIcon = () => ( const DeleteIcon = () => (
<button <button
className={`absolute bottom-0 ${
chat.role === "user" ? "left-0" : "right-0"
}`}
onClick={() => { onClick={() => {
chatStore.history[messageIndex].hide = if (
!chatStore.history[messageIndex].hide; confirm(
`Are you sure to delete this message?\n${chat.content.slice(
//chatStore.totalTokens = 0,
chatStore.totalTokens = 0; 39
for (const i of chatStore.history )}...`
.filter(({ hide }) => !hide) )
.slice(chatStore.postBeginIndex) ) {
.map(({ token }) => token)) { chatStore.history.splice(messageIndex, 1);
chatStore.totalTokens += i; chatStore.postBeginIndex = Math.max(chatStore.postBeginIndex - 1, 0);
setChatStore({ ...chatStore });
} }
setChatStore({ ...chatStore });
}} }}
> >
Delete 🗑
</button> </button>
); );
const CopiedHint = () => ( const codeMatches = chat.content.match(/(```([\s\S]*?)```$)/);
<div role="alert" className="alert"> const AnyMarkdown = Markdown as any;
<svg console.log("codeMatches", codeMatches);
xmlns="http://www.w3.org/2000/svg" if (codeMatches) console.log("matches", codeMatches[0]);
fill="none"
viewBox="0 0 24 24"
className="stroke-info h-6 w-6 shrink-0"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"
></path>
</svg>
<span>{Tr("Message copied to clipboard!")}</span>
</div>
);
const copyToClipboard = (text: string) => {
navigator.clipboard.writeText(text);
setShowCopiedHint(true);
setTimeout(() => setShowCopiedHint(false), 1000);
};
const CopyIcon = ({ textToCopy }: { textToCopy: string }) => {
return (
<>
<button
onClick={() => {
copyToClipboard(textToCopy);
}}
>
Copy
</button>
</>
);
};
return ( return (
<> <div
{chatStore.postBeginIndex !== 0 && className={`flex ${
!chatStore.history[messageIndex].hide && chat.role === "assistant" ? "justify-start" : "justify-end"
chatStore.postBeginIndex === }`}
chatStore.history.slice(0, messageIndex).filter(({ hide }) => !hide) >
.length && (
<div className="flex items-center relative justify-center">
<hr className="w-full h-px my-4 border-0" />
<span className="absolute px-3 rounded p-1">
Above messages are "forgotten"
</span>
</div>
)}
<div <div
className={`flex ${ className={`relative w-fit p-2 rounded my-2 ${
chat.role === "assistant" ? "justify-start" : "justify-end" chat.role === "assistant"
? "bg-white dark:bg-gray-700 dark:text-white"
: "bg-green-400"
}`} }`}
> >
<div className={`w-full`}> <p className="message-content">
<div <AnyMarkdown
className={`chat min-w-16 p-2 my-2 ${ markdown={chat.content}
chat.role === "assistant" ? "chat-start" : "chat-end" markupOpts={{
} ${chat.hide ? "opacity-50" : ""}`} components: {
> code: Code,
<div pre: Pre,
className={`chat-bubble max-w-full ${ },
chat.role === "assistant" }}
? renderColor />
? "chat-bubble-neutral" </p>
: "chat-bubble-secondary" <DeleteIcon />
: "chat-bubble-primary"
}`}
>
{chat.hide ? (
<MessageHide chat={chat} />
) : typeof chat.content !== "string" ? (
<MessageDetail chat={chat} renderMarkdown={renderMarkdown} />
) : chat.tool_calls ? (
<MessageToolCall
chat={chat}
copyToClipboard={copyToClipboard}
/>
) : chat.role === "tool" ? (
<MessageToolResp
chat={chat}
copyToClipboard={copyToClipboard}
/>
) : renderMarkdown ? (
// @ts-ignore
<Markdown markdown={getMessageText(chat)} />
) : (
<div className="message-content">
{
// only show when content is string or list of message
// this check is used to avoid rendering tool call
chat.content &&
(chat.logprobs && renderColor
? chat.logprobs.content
.filter((c) => c.token)
.map((c) => (
<div
style={{
backgroundColor: logprobToColor(c.logprob),
display: "inline",
}}
>
{c.token}
</div>
))
: getMessageText(chat))
}
</div>
)}
</div>
<div className="chat-footer opacity-50 flex gap-x-2">
<DeleteIcon />
<button onClick={() => setShowEdit(true)}>Edit</button>
<CopyIcon textToCopy={getMessageText(chat)} />
{chatStore.tts_api && chatStore.tts_key && (
<TTSButton
chatStore={chatStore}
chat={chat}
setChatStore={setChatStore}
/>
)}
<TTSPlay chat={chat} />
{chat.response_model_name && (
<>
<span className="opacity-50">{chat.response_model_name}</span>
<hr />
</>
)}
</div>
</div>
{showEdit && (
<EditMessage
setShowEdit={setShowEdit}
chat={chat}
chatStore={chatStore}
setChatStore={setChatStore}
/>
)}
{showCopiedHint && <CopiedHint />}
{chatStore.develop_mode && (
<div
className={`gap-1 chat-end flex ${
chat.role === "assistant" ? "justify-start" : "justify-end"
}`}
>
<span className="">token</span>
<input
value={chat.token}
className="input input-bordered input-xs w-16"
onChange={(event: any) => {
chat.token = parseInt(event.target.value);
setChatStore({ ...chatStore });
}}
/>
<button
onClick={() => {
chatStore.history.splice(messageIndex, 1);
chatStore.postBeginIndex = Math.max(
chatStore.postBeginIndex - 1,
0,
);
//chatStore.totalTokens =
chatStore.totalTokens = 0;
for (const i of chatStore.history
.filter(({ hide }) => !hide)
.slice(chatStore.postBeginIndex)
.map(({ token }) => token)) {
chatStore.totalTokens += i;
}
setChatStore({ ...chatStore });
}}
>
<XMarkIcon className="w-4 h-4" />
</button>
<span
onClick={(event: any) => {
chat.example = !chat.example;
setChatStore({ ...chatStore });
}}
>
<label className="">{Tr("example")}</label>
<input type="checkbox" checked={chat.example} />
</span>
<span
onClick={(event: any) => setRenderWorkdown(!renderMarkdown)}
>
<label className="">{Tr("render")}</label>
<input type="checkbox" checked={renderMarkdown} />
</span>
<span onClick={(event: any) => setRenderColor(!renderColor)}>
<label className="">{Tr("color")}</label>
<input type="checkbox" checked={renderColor} />
</span>
</div>
)}
</div>
</div> </div>
</> </div>
); );
} }

View File

@@ -1,35 +0,0 @@
import { ChatStoreMessage } from "@/types/chatstore";
interface Props {
chat: ChatStoreMessage;
renderMarkdown: boolean;
}
export function MessageDetail({ chat, renderMarkdown }: Props) {
if (typeof chat.content === "string") {
return <div></div>;
}
return (
<div>
{chat.content.map((mdt) =>
mdt.type === "text" ? (
chat.hide ? (
mdt.text?.split("\n")[0].slice(0, 16) + " ..."
) : renderMarkdown ? (
// @ts-ignore
<Markdown markdown={mdt.text} />
) : (
mdt.text
)
) : (
<img
className="my-2 rounded-md max-w-64 max-h-64"
src={mdt.image_url?.url}
onClick={() => {
window.open(mdt.image_url?.url, "_blank");
}}
/>
),
)}
</div>
);
}

View File

@@ -1,10 +0,0 @@
import { ChatStoreMessage } from "@/types/chatstore";
import { getMessageText } from "@/chatgpt";
interface Props {
chat: ChatStoreMessage;
}
export function MessageHide({ chat }: Props) {
return <div>{getMessageText(chat).split("\n")[0].slice(0, 18)} ...</div>;
}

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@@ -1,45 +0,0 @@
import { ChatStoreMessage } from "@/types/chatstore";
interface Props {
chat: ChatStoreMessage;
copyToClipboard: (text: string) => void;
}
export function MessageToolCall({ chat, copyToClipboard }: Props) {
return (
<div className="message-content">
{chat.tool_calls?.map((tool_call) => (
<div className="bg-blue-300 dark:bg-blue-800 p-1 rounded my-1">
<strong>
Tool Call ID:{" "}
<span
className="p-1 m-1 rounded cursor-pointer hover:opacity-50 hover:underline"
onClick={() => copyToClipboard(String(tool_call.id))}
>
{tool_call?.id}
</span>
</strong>
<p>Type: {tool_call?.type}</p>
<p>
Function:
<span
className="p-1 m-1 rounded cursor-pointer hover:opacity-50 hover:underline"
onClick={() => copyToClipboard(tool_call.function.name)}
>
{tool_call.function.name}
</span>
</p>
<p>
Arguments:
<span
className="p-1 m-1 rounded cursor-pointer hover:opacity-50 hover:underline"
onClick={() => copyToClipboard(tool_call.function.arguments)}
>
{tool_call.function.arguments}
</span>
</p>
</div>
))}
{chat.content}
</div>
);
}

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@@ -1,24 +0,0 @@
import { ChatStoreMessage } from "@/types/chatstore";
interface Props {
chat: ChatStoreMessage;
copyToClipboard: (text: string) => void;
}
export function MessageToolResp({ chat, copyToClipboard }: Props) {
return (
<div className="message-content">
<div className="bg-blue-300 dark:bg-blue-800 p-1 rounded my-1">
<strong>
Tool Response ID:{" "}
<span
className="p-1 m-1 rounded cursor-pointer hover:opacity-50 hover:underline"
onClick={() => copyToClipboard(String(chat.tool_call_id))}
>
{chat.tool_call_id}
</span>
</strong>
<p>{chat.content}</p>
</div>
</div>
);
}

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@@ -1,93 +0,0 @@
import { useState } from "preact/hooks";
import { Dispatch, StateUpdater } from "preact/hooks";
import { Tr } from "@/translate";
import { calculate_token_length } from "@/chatgpt";
import { ChatStore } from "@/types/chatstore";
const AddToolMsg = (props: {
setShowAddToolMsg: Dispatch<StateUpdater<boolean>>;
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
}) => {
const { setShowAddToolMsg, chatStore, setChatStore } = props;
const [newToolCallID, setNewToolCallID] = useState("");
const [newToolContent, setNewToolContent] = useState("");
return (
<div
className="absolute z-10 bg-black bg-opacity-50 w-full h-full flex justify-center items-center left-0 top-0 overflow-scroll"
onClick={() => {
setShowAddToolMsg(false);
}}
>
<div
className="bg-white rounded p-2 z-20 flex flex-col"
onClick={(event) => {
event.stopPropagation();
}}
>
<h2>Add Tool Message</h2>
<hr className="my-2" />
<span>
<label>tool_call_id</label>
<input
className="rounded m-1 p-1 border-2 border-gray-400"
type="text"
value={newToolCallID}
onChange={(event: any) => setNewToolCallID(event.target.value)}
/>
</span>
<span>
<label>Content</label>
<textarea
className="rounded m-1 p-1 border-2 border-gray-400"
rows={5}
value={newToolContent}
onChange={(event: any) => setNewToolContent(event.target.value)}
></textarea>
</span>
<span className={`flex justify-between p-2`}>
<button
className="btn btn-info m-1 p-1"
onClick={() => setShowAddToolMsg(false)}
>
{Tr("Cancle")}
</button>
<button
className="rounded m-1 p-1 border-2 bg-cyan-400 hover:bg-cyan-600"
onClick={() => {
if (!newToolCallID.trim()) {
alert("tool_call_id is empty");
return;
}
if (!newToolContent.trim()) {
alert("content is empty");
return;
}
chatStore.history.push({
role: "tool",
tool_call_id: newToolCallID.trim(),
content: newToolContent.trim(),
token: calculate_token_length(newToolContent),
hide: false,
example: false,
audio: null,
logprobs: null,
response_model_name: null,
});
setChatStore({ ...chatStore });
setNewToolCallID("");
setNewToolContent("");
setShowAddToolMsg(false);
}}
>
{Tr("Add")}
</button>
</span>
</div>
</div>
);
};
export default AddToolMsg;

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@@ -1,235 +0,0 @@
import { openDB } from "idb";
import { useEffect, useState } from "preact/hooks";
import "@/global.css";
import { calculate_token_length } from "@/chatgpt";
import { getDefaultParams } from "@/utils/getDefaultParam";
import ChatBOX from "@/pages/Chatbox";
import { DefaultModel } from "@/const";
import { Tr, langCodeContext, LANG_OPTIONS } from "@/translate";
import { ChatStore } from "@/types/chatstore";
import { newChatStore } from "@/types/newChatstore";
import { STORAGE_NAME, STORAGE_NAME_SELECTED } from "@/const";
import { upgrade } from "@/indexedDB/upgrade";
export function App() {
// init selected index
const [selectedChatIndex, setSelectedChatIndex] = useState(
parseInt(localStorage.getItem(STORAGE_NAME_SELECTED) ?? "1"),
);
console.log("selectedChatIndex", selectedChatIndex);
useEffect(() => {
console.log("set selected chat index", selectedChatIndex);
localStorage.setItem(STORAGE_NAME_SELECTED, `${selectedChatIndex}`);
}, [selectedChatIndex]);
const db = openDB<ChatStore>(STORAGE_NAME, 11, {
upgrade,
});
const getChatStoreByIndex = async (index: number): Promise<ChatStore> => {
const ret: ChatStore = await (await db).get(STORAGE_NAME, index);
if (ret === null || ret === undefined) return newChatStore({});
// handle read from old version chatstore
if (ret.maxGenTokens === undefined) ret.maxGenTokens = 2048;
if (ret.maxGenTokens_enabled === undefined) ret.maxGenTokens_enabled = true;
if (ret.model === undefined) ret.model = DefaultModel;
if (ret.toolsString === undefined) ret.toolsString = "";
if (ret.chatgpt_api_web_version === undefined)
// this is from old version becasue it is undefined,
// so no higher than v1.3.0
ret.chatgpt_api_web_version = "v1.2.2";
for (const message of ret.history) {
if (message.hide === undefined) message.hide = false;
if (message.token === undefined)
message.token = calculate_token_length(message.content);
}
if (ret.cost === undefined) ret.cost = 0;
return ret;
};
const [chatStore, _setChatStore] = useState(newChatStore({}));
const setChatStore = async (chatStore: ChatStore) => {
console.log("recalculate postBeginIndex");
const max = chatStore.maxTokens - chatStore.tokenMargin;
let sum = 0;
chatStore.postBeginIndex = chatStore.history.filter(
({ hide }) => !hide,
).length;
for (const msg of chatStore.history
.filter(({ hide }) => !hide)
.slice()
.reverse()) {
if (sum + msg.token > max) break;
sum += msg.token;
chatStore.postBeginIndex -= 1;
}
chatStore.postBeginIndex =
chatStore.postBeginIndex < 0 ? 0 : chatStore.postBeginIndex;
// manually estimate token
chatStore.totalTokens = calculate_token_length(
chatStore.systemMessageContent,
);
for (const msg of chatStore.history
.filter(({ hide }) => !hide)
.slice(chatStore.postBeginIndex)) {
chatStore.totalTokens += msg.token;
}
console.log("saved chat", selectedChatIndex, chatStore);
(await db).put(STORAGE_NAME, chatStore, selectedChatIndex);
// update total tokens
chatStore.totalTokens = calculate_token_length(
chatStore.systemMessageContent,
);
for (const msg of chatStore.history
.filter(({ hide }) => !hide)
.slice(chatStore.postBeginIndex)) {
chatStore.totalTokens += msg.token;
}
_setChatStore(chatStore);
};
useEffect(() => {
const run = async () => {
_setChatStore(await getChatStoreByIndex(selectedChatIndex));
};
run();
}, [selectedChatIndex]);
// all chat store indexes
const [allChatStoreIndexes, setAllChatStoreIndexes] = useState<IDBValidKey>(
[],
);
const handleNewChatStoreWithOldOne = async (chatStore: ChatStore) => {
const newKey = await (await db).add(STORAGE_NAME, newChatStore(chatStore));
setSelectedChatIndex(newKey as number);
setAllChatStoreIndexes(await (await db).getAllKeys(STORAGE_NAME));
};
const handleNewChatStore = async () => {
return handleNewChatStoreWithOldOne(chatStore);
};
const handleDEL = async () => {
if (!confirm("Are you sure you want to delete this chat history?")) return;
console.log("remove item", `${STORAGE_NAME}-${selectedChatIndex}`);
(await db).delete(STORAGE_NAME, selectedChatIndex);
const newAllChatStoreIndexes = await (await db).getAllKeys(STORAGE_NAME);
if (newAllChatStoreIndexes.length === 0) {
handleNewChatStore();
return;
}
// find nex selected chat index
const next = newAllChatStoreIndexes[newAllChatStoreIndexes.length - 1];
console.log("next is", next);
setSelectedChatIndex(next as number);
setAllChatStoreIndexes(newAllChatStoreIndexes);
};
const handleCLS = async () => {
if (!confirm("Are you sure you want to delete **ALL** chat history?"))
return;
await (await db).clear(STORAGE_NAME);
setAllChatStoreIndexes([]);
setSelectedChatIndex(1);
window.location.reload();
};
// if there are any params in URL, create a new chatStore
useEffect(() => {
const run = async () => {
const chatStore = await getChatStoreByIndex(selectedChatIndex);
const api = getDefaultParams("api", "");
const key = getDefaultParams("key", "");
const sys = getDefaultParams("sys", "");
const mode = getDefaultParams("mode", "");
const model = getDefaultParams("model", "");
const max = getDefaultParams("max", 0);
console.log("max is", max, "chatStore.max is", chatStore.maxTokens);
// only create new chatStore if the params in URL are NOT
// equal to the current selected chatStore
if (
(api && api !== chatStore.apiEndpoint) ||
(key && key !== chatStore.apiKey) ||
(sys && sys !== chatStore.systemMessageContent) ||
(mode && mode !== (chatStore.streamMode ? "stream" : "fetch")) ||
(model && model !== chatStore.model) ||
(max !== 0 && max !== chatStore.maxTokens)
) {
console.log("create new chatStore because of params in URL");
handleNewChatStoreWithOldOne(chatStore);
}
await db;
const allidx = await (await db).getAllKeys(STORAGE_NAME);
if (allidx.length === 0) {
handleNewChatStore();
}
setAllChatStoreIndexes(await (await db).getAllKeys(STORAGE_NAME));
};
run();
}, []);
return (
<div className="flex text-sm h-full">
<div className="flex flex-col h-full p-2 bg-primary">
<div className="grow overflow-scroll">
<button
className="btn btn-sm btn-info p-1 my-1 w-full"
onClick={handleNewChatStore}
>
{Tr("NEW")}
</button>
<ul className="pt-2">
{(allChatStoreIndexes as number[])
.slice()
.reverse()
.map((i) => {
// reverse
return (
<li>
<button
className={`w-full my-1 p-1 btn btn-sm ${
i === selectedChatIndex ? "btn-accent" : "btn-secondary"
}`}
onClick={() => setSelectedChatIndex(i)}
>
{i}
</button>
</li>
);
})}
</ul>
</div>
<div>
<button
className="btn btn-warning btn-sm p-1 my-1 w-full"
onClick={async () => handleDEL()}
>
{Tr("DEL")}
</button>
{chatStore.develop_mode && (
<button
className="btn btn-sm btn-warning p-1 my-1 w-full"
onClick={async () => handleCLS()}
>
{Tr("CLS")}
</button>
)}
</div>
</div>
<ChatBOX
db={db}
chatStore={chatStore}
setChatStore={setChatStore}
selectedChatIndex={selectedChatIndex}
setSelectedChatIndex={setSelectedChatIndex}
/>
</div>
);
}

View File

@@ -1,795 +0,0 @@
import { IDBPDatabase } from "idb";
import { createRef } from "preact";
import { StateUpdater, useEffect, useState, Dispatch } from "preact/hooks";
import { Tr, langCodeContext, LANG_OPTIONS } from "@/translate";
import {
STORAGE_NAME_TEMPLATE,
STORAGE_NAME_TEMPLATE_API,
STORAGE_NAME_TEMPLATE_API_IMAGE_GEN,
STORAGE_NAME_TEMPLATE_API_TTS,
STORAGE_NAME_TEMPLATE_API_WHISPER,
STORAGE_NAME_TEMPLATE_TOOLS,
} from "@/const";
import { addTotalCost, getTotalCost } from "@/utils/totalCost";
import ChatGPT, {
calculate_token_length,
FetchResponse,
Message as MessageType,
MessageDetail,
ToolCall,
Logprobs,
} from "@/chatgpt";
import {
ChatStore,
ChatStoreMessage,
TemplateChatStore,
TemplateAPI,
TemplateTools,
} from "../types/chatstore";
import Message from "@/message";
import { models } from "@/types/models";
import Settings from "@/settings";
import { AddImage } from "@/addImage";
import { ListAPIs } from "@/listAPIs";
import { ListToolsTempaltes } from "@/listToolsTemplates";
import { autoHeight } from "@/textarea";
import Search from "@/search";
import Templates from "@/components/Templates";
import VersionHint from "@/components/VersionHint";
import StatusBar from "@/components/StatusBar";
import WhisperButton from "@/components/WhisperButton";
import AddToolMsg from "./AddToolMsg";
export default function ChatBOX(props: {
db: Promise<IDBPDatabase<ChatStore>>;
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
selectedChatIndex: number;
setSelectedChatIndex: Dispatch<StateUpdater<number>>;
}) {
const { chatStore, setChatStore } = props;
// prevent error
if (chatStore === undefined) return <div></div>;
const [inputMsg, setInputMsg] = useState("");
const [images, setImages] = useState<MessageDetail[]>([]);
const [showAddImage, setShowAddImage] = useState(false);
const [showGenerating, setShowGenerating] = useState(false);
const [generatingMessage, setGeneratingMessage] = useState("");
const [showRetry, setShowRetry] = useState(false);
const [showAddToolMsg, setShowAddToolMsg] = useState(false);
const [showSearch, setShowSearch] = useState(false);
let default_follow = localStorage.getItem("follow");
if (default_follow === null) {
default_follow = "true";
}
const [follow, _setFollow] = useState(default_follow === "true");
const setFollow = (follow: boolean) => {
console.log("set follow", follow);
localStorage.setItem("follow", follow.toString());
_setFollow(follow);
};
const messagesEndRef = createRef();
useEffect(() => {
if (follow) {
messagesEndRef.current.scrollIntoView({ behavior: "smooth" });
}
}, [showRetry, showGenerating, generatingMessage]);
const client = new ChatGPT(chatStore.apiKey);
const _completeWithStreamMode = async (response: Response) => {
let responseTokenCount = 0;
const allChunkMessage: string[] = [];
const allChunkTool: ToolCall[] = [];
setShowGenerating(true);
const logprobs: Logprobs = {
content: [],
};
let response_model_name: string | null = null;
for await (const i of client.processStreamResponse(response)) {
response_model_name = i.model;
responseTokenCount += 1;
const c = i.choices[0];
// skip if choice is empty (e.g. azure)
if (!c) continue;
const logprob = c?.logprobs?.content[0]?.logprob;
if (logprob !== undefined) {
logprobs.content.push({
token: c?.delta?.content ?? "",
logprob,
});
console.log(c?.delta?.content, logprob);
}
allChunkMessage.push(c?.delta?.content ?? "");
const tool_calls = c?.delta?.tool_calls;
if (tool_calls) {
for (const tool_call of tool_calls) {
// init
if (tool_call.id) {
allChunkTool.push({
id: tool_call.id,
type: tool_call.type,
index: tool_call.index,
function: {
name: tool_call.function.name,
arguments: "",
},
});
continue;
}
// update tool call arguments
const tool = allChunkTool.find(
(tool) => tool.index === tool_call.index,
);
if (!tool) {
console.log("tool (by index) not found", tool_call.index);
continue;
}
tool.function.arguments += tool_call.function.arguments;
}
}
setGeneratingMessage(
allChunkMessage.join("") +
allChunkTool.map((tool) => {
return `Tool Call ID: ${tool.id}\nType: ${tool.type}\nFunction: ${tool.function.name}\nArguments: ${tool.function.arguments}`;
}),
);
}
setShowGenerating(false);
const content = allChunkMessage.join("");
// estimate cost
let cost = 0;
if (response_model_name) {
cost +=
responseTokenCount *
(models[response_model_name]?.price?.completion ?? 0);
let sum = 0;
for (const msg of chatStore.history
.filter(({ hide }) => !hide)
.slice(chatStore.postBeginIndex)) {
sum += msg.token;
}
cost += sum * (models[response_model_name]?.price?.prompt ?? 0);
}
console.log("cost", cost);
chatStore.cost += cost;
addTotalCost(cost);
console.log("save logprobs", logprobs);
const newMsg: ChatStoreMessage = {
role: "assistant",
content,
hide: false,
token: responseTokenCount,
example: false,
audio: null,
logprobs,
response_model_name,
};
if (allChunkTool.length > 0) newMsg.tool_calls = allChunkTool;
chatStore.history.push(newMsg);
// manually copy status from client to chatStore
chatStore.maxTokens = client.max_tokens;
chatStore.tokenMargin = client.tokens_margin;
setChatStore({ ...chatStore });
setGeneratingMessage("");
setShowGenerating(false);
};
const _completeWithFetchMode = async (response: Response) => {
const data = (await response.json()) as FetchResponse;
if (data.model) {
let cost = 0;
cost +=
(data.usage.prompt_tokens ?? 0) *
(models[data.model]?.price?.prompt ?? 0);
cost +=
(data.usage.completion_tokens ?? 0) *
(models[data.model]?.price?.completion ?? 0);
chatStore.cost += cost;
addTotalCost(cost);
}
const msg = client.processFetchResponse(data);
// estimate user's input message token
let aboveToken = 0;
for (const msg of chatStore.history
.filter(({ hide }) => !hide)
.slice(chatStore.postBeginIndex, -1)) {
aboveToken += msg.token;
}
if (data.usage.prompt_tokens) {
const userMessageToken = data.usage.prompt_tokens - aboveToken;
console.log("set user message token");
if (chatStore.history.filter((msg) => !msg.hide).length > 0) {
chatStore.history.filter((msg) => !msg.hide).slice(-1)[0].token =
userMessageToken;
}
}
chatStore.history.push({
role: "assistant",
content: msg.content,
tool_calls: msg.tool_calls,
hide: false,
token:
data.usage.completion_tokens ?? calculate_token_length(msg.content),
example: false,
audio: null,
logprobs: data.choices[0]?.logprobs,
response_model_name: data.model,
});
setShowGenerating(false);
};
// wrap the actuall complete api
const complete = async () => {
// manually copy status from chatStore to client
client.apiEndpoint = chatStore.apiEndpoint;
client.sysMessageContent = chatStore.systemMessageContent;
client.toolsString = chatStore.toolsString;
client.tokens_margin = chatStore.tokenMargin;
client.temperature = chatStore.temperature;
client.enable_temperature = chatStore.temperature_enabled;
client.top_p = chatStore.top_p;
client.enable_top_p = chatStore.top_p_enabled;
client.frequency_penalty = chatStore.frequency_penalty;
client.presence_penalty = chatStore.presence_penalty;
client.json_mode = chatStore.json_mode;
client.messages = chatStore.history
// only copy non hidden message
.filter(({ hide }) => !hide)
.slice(chatStore.postBeginIndex)
// only copy content and role attribute to client for posting
.map(({ content, role, example, tool_call_id, tool_calls }) => {
const ret: MessageType = {
content,
role,
tool_calls,
};
if (example) {
ret.name =
ret.role === "assistant" ? "example_assistant" : "example_user";
ret.role = "system";
}
if (tool_call_id) ret.tool_call_id = tool_call_id;
return ret;
});
client.model = chatStore.model;
client.max_tokens = chatStore.maxTokens;
client.max_gen_tokens = chatStore.maxGenTokens;
client.enable_max_gen_tokens = chatStore.maxGenTokens_enabled;
try {
setShowGenerating(true);
const response = await client._fetch(
chatStore.streamMode,
chatStore.logprobs,
);
const contentType = response.headers.get("content-type");
if (contentType?.startsWith("text/event-stream")) {
await _completeWithStreamMode(response);
} else if (contentType?.startsWith("application/json")) {
await _completeWithFetchMode(response);
} else {
throw `unknown response content type ${contentType}`;
}
// manually copy status from client to chatStore
chatStore.maxTokens = client.max_tokens;
chatStore.tokenMargin = client.tokens_margin;
chatStore.totalTokens = client.total_tokens;
console.log("postBeginIndex", chatStore.postBeginIndex);
setShowRetry(false);
setChatStore({ ...chatStore });
} catch (error) {
setShowRetry(true);
alert(error);
} finally {
setShowGenerating(false);
props.setSelectedChatIndex(props.selectedChatIndex);
}
};
// when user click the "send" button or ctrl+Enter in the textarea
const send = async (msg = "", call_complete = true) => {
const inputMsg = msg.trim();
if (!inputMsg && images.length === 0) {
console.log("empty message");
return;
}
let content: string | MessageDetail[] = inputMsg;
if (images.length > 0) {
content = images;
}
if (images.length > 0 && inputMsg.trim()) {
content = [{ type: "text", text: inputMsg }, ...images];
}
chatStore.history.push({
role: "user",
content,
hide: false,
token: calculate_token_length(inputMsg.trim()),
example: false,
audio: null,
logprobs: null,
response_model_name: null,
});
// manually calculate token length
chatStore.totalTokens +=
calculate_token_length(inputMsg.trim()) + calculate_token_length(images);
client.total_tokens = chatStore.totalTokens;
setChatStore({ ...chatStore });
setInputMsg("");
setImages([]);
if (call_complete) {
await complete();
}
};
const [showSettings, setShowSettings] = useState(false);
const [templates, _setTemplates] = useState(
JSON.parse(
localStorage.getItem(STORAGE_NAME_TEMPLATE) || "[]",
) as TemplateChatStore[],
);
const [templateAPIs, _setTemplateAPIs] = useState(
JSON.parse(
localStorage.getItem(STORAGE_NAME_TEMPLATE_API) || "[]",
) as TemplateAPI[],
);
const [templateAPIsWhisper, _setTemplateAPIsWhisper] = useState(
JSON.parse(
localStorage.getItem(STORAGE_NAME_TEMPLATE_API_WHISPER) || "[]",
) as TemplateAPI[],
);
const [templateAPIsTTS, _setTemplateAPIsTTS] = useState(
JSON.parse(
localStorage.getItem(STORAGE_NAME_TEMPLATE_API_TTS) || "[]",
) as TemplateAPI[],
);
const [templateAPIsImageGen, _setTemplateAPIsImageGen] = useState(
JSON.parse(
localStorage.getItem(STORAGE_NAME_TEMPLATE_API_IMAGE_GEN) || "[]",
) as TemplateAPI[],
);
const [toolsTemplates, _setToolsTemplates] = useState(
JSON.parse(
localStorage.getItem(STORAGE_NAME_TEMPLATE_TOOLS) || "[]",
) as TemplateTools[],
);
const setTemplates = (templates: TemplateChatStore[]) => {
localStorage.setItem(STORAGE_NAME_TEMPLATE, JSON.stringify(templates));
_setTemplates(templates);
};
const setTemplateAPIs = (templateAPIs: TemplateAPI[]) => {
localStorage.setItem(
STORAGE_NAME_TEMPLATE_API,
JSON.stringify(templateAPIs),
);
_setTemplateAPIs(templateAPIs);
};
const setTemplateAPIsWhisper = (templateAPIWhisper: TemplateAPI[]) => {
localStorage.setItem(
STORAGE_NAME_TEMPLATE_API_WHISPER,
JSON.stringify(templateAPIWhisper),
);
_setTemplateAPIsWhisper(templateAPIWhisper);
};
const setTemplateAPIsTTS = (templateAPITTS: TemplateAPI[]) => {
localStorage.setItem(
STORAGE_NAME_TEMPLATE_API_TTS,
JSON.stringify(templateAPITTS),
);
_setTemplateAPIsTTS(templateAPITTS);
};
const setTemplateAPIsImageGen = (templateAPIImageGen: TemplateAPI[]) => {
localStorage.setItem(
STORAGE_NAME_TEMPLATE_API_IMAGE_GEN,
JSON.stringify(templateAPIImageGen),
);
_setTemplateAPIsImageGen(templateAPIImageGen);
};
const setTemplateTools = (templateTools: TemplateTools[]) => {
localStorage.setItem(
STORAGE_NAME_TEMPLATE_TOOLS,
JSON.stringify(templateTools),
);
_setToolsTemplates(templateTools);
};
const userInputRef = createRef();
return (
<div className="grow flex flex-col p-2 w-full">
{showSettings && (
<Settings
chatStore={chatStore}
setChatStore={setChatStore}
setShow={setShowSettings}
selectedChatStoreIndex={props.selectedChatIndex}
templates={templates}
setTemplates={setTemplates}
templateAPIs={templateAPIs}
setTemplateAPIs={setTemplateAPIs}
templateAPIsWhisper={templateAPIsWhisper}
setTemplateAPIsWhisper={setTemplateAPIsWhisper}
templateAPIsTTS={templateAPIsTTS}
setTemplateAPIsTTS={setTemplateAPIsTTS}
templateAPIsImageGen={templateAPIsImageGen}
setTemplateAPIsImageGen={setTemplateAPIsImageGen}
templateTools={toolsTemplates}
setTemplateTools={setTemplateTools}
/>
)}
{showSearch && (
<Search
setSelectedChatIndex={props.setSelectedChatIndex}
db={props.db}
chatStore={chatStore}
setShow={setShowSearch}
/>
)}
<StatusBar
chatStore={chatStore}
setShowSettings={setShowSettings}
setShowSearch={setShowSearch}
/>
<div className="grow overflow-scroll">
{!chatStore.apiKey && (
<p className="bg-base-200 p-6 rounded my-3 text-left">
{Tr("Please click above to set")} (OpenAI) API KEY
</p>
)}
{!chatStore.apiEndpoint && (
<p className="bg-base-200 p-6 rounded my-3 text-left">
{Tr("Please click above to set")} API Endpoint
</p>
)}
{templateAPIs.length > 0 && (
<ListAPIs
label="API"
tmps={templateAPIs}
setTmps={setTemplateAPIs}
chatStore={chatStore}
setChatStore={setChatStore}
apiField="apiEndpoint"
keyField="apiKey"
/>
)}
{templateAPIsWhisper.length > 0 && (
<ListAPIs
label="Whisper API"
tmps={templateAPIsWhisper}
setTmps={setTemplateAPIsWhisper}
chatStore={chatStore}
setChatStore={setChatStore}
apiField="whisper_api"
keyField="whisper_key"
/>
)}
{templateAPIsTTS.length > 0 && (
<ListAPIs
label="TTS API"
tmps={templateAPIsTTS}
setTmps={setTemplateAPIsTTS}
chatStore={chatStore}
setChatStore={setChatStore}
apiField="tts_api"
keyField="tts_key"
/>
)}
{templateAPIsImageGen.length > 0 && (
<ListAPIs
label="Image Gen API"
tmps={templateAPIsImageGen}
setTmps={setTemplateAPIsImageGen}
chatStore={chatStore}
setChatStore={setChatStore}
apiField="image_gen_api"
keyField="image_gen_key"
/>
)}
{toolsTemplates.length > 0 && (
<ListToolsTempaltes
templateTools={toolsTemplates}
setTemplateTools={setTemplateTools}
chatStore={chatStore}
setChatStore={setChatStore}
/>
)}
{chatStore.history.filter((msg) => !msg.example).length == 0 && (
<div className="bg-base-200 break-all p-3 my-3 text-left">
<h2>
<span>{Tr("Saved prompt templates")}</span>
<button
className="mx-2 underline cursor-pointer"
onClick={() => {
chatStore.systemMessageContent = "";
chatStore.toolsString = "";
chatStore.history = [];
setChatStore({ ...chatStore });
}}
>
{Tr("Reset Current")}
</button>
</h2>
<div className="divider"></div>
<div className="flex flex-wrap">
<Templates
templates={templates}
setTemplates={setTemplates}
chatStore={chatStore}
setChatStore={setChatStore}
/>
</div>
</div>
)}
{chatStore.history.length === 0 && (
<p className="break-all opacity-60 p-6 rounded bg-white my-3 text-left dark:text-black">
{Tr("No chat history here")}
<br />{Tr("Model")}: {chatStore.model}
<br />{Tr("Click above to change the settings of this chat")}
<br />{Tr("Click the conor to create a new chat")}
<br />
{Tr(
"All chat history and settings are stored in the local browser",
)}
<br />
</p>
)}
{chatStore.systemMessageContent.trim() && (
<div className="chat chat-start">
<div className="chat-header">Prompt</div>
<div
className="chat-bubble chat-bubble-accent cursor-pointer message-content"
onClick={() => setShowSettings(true)}
>
{chatStore.systemMessageContent}
</div>
</div>
)}
{chatStore.history.map((_, messageIndex) => (
<Message
chatStore={chatStore}
setChatStore={setChatStore}
messageIndex={messageIndex}
/>
))}
{showGenerating && (
<p className="p-2 my-2 animate-pulse message-content">
{generatingMessage || Tr("Generating...")}
...
</p>
)}
<p className="text-center">
{chatStore.history.length > 0 && (
<button
className="btn btn-sm btn-warning disabled:line-through disabled:btn-neutral disabled:text-white m-2 p-2"
disabled={showGenerating}
onClick={async () => {
const messageIndex = chatStore.history.length - 1;
if (chatStore.history[messageIndex].role === "assistant") {
chatStore.history[messageIndex].hide = true;
}
//chatStore.totalTokens =
setChatStore({ ...chatStore });
await complete();
}}
>
{Tr("Re-Generate")}
</button>
)}
{chatStore.develop_mode && chatStore.history.length > 0 && (
<button
className="btn btn-outline btn-sm btn-warning disabled:line-through disabled:bg-neural"
disabled={showGenerating}
onClick={async () => {
await complete();
}}
>
{Tr("Completion")}
</button>
)}
</p>
<p className="p-2 my-2 text-center opacity-50 dark:text-white">
{chatStore.postBeginIndex !== 0 && (
<>
<br />
{Tr("Info: chat history is too long, forget messages")}:{" "}
{chatStore.postBeginIndex}
</>
)}
</p>
<VersionHint chatStore={chatStore} />
{showRetry && (
<p className="text-right p-2 my-2 dark:text-white">
<button
className="p-1 rounded bg-rose-500"
onClick={async () => {
setShowRetry(false);
await complete();
}}
>
{Tr("Retry")}
</button>
</p>
)}
<div ref={messagesEndRef}></div>
</div>
{images.length > 0 && (
<div className="flex flex-wrap">
{images.map((image, index) => (
<div className="flex flex-col">
{image.type === "image_url" && (
<img
className="rounded m-1 p-1 border-2 border-gray-400 max-h-32 max-w-xs"
src={image.image_url?.url}
/>
)}
</div>
))}
</div>
)}
{generatingMessage && (
<span
className="p-2 m-2 rounded bg-white dark:text-black dark:bg-white dark:bg-opacity-50"
style={{ textAlign: "right" }}
onClick={() => {
setFollow(!follow);
}}
>
<label>Follow</label>
<input type="checkbox" checked={follow} />
</span>
)}
<div className="flex justify-between my-1">
<button
className="btn btn-primary disabled:line-through disabled:text-white disabled:bg-neutral m-1 p-1"
disabled={showGenerating || !chatStore.apiKey}
onClick={() => {
setShowAddImage(!showAddImage);
}}
>
Image
</button>
{showAddImage && (
<AddImage
chatStore={chatStore}
setChatStore={setChatStore}
setShowAddImage={setShowAddImage}
images={images}
setImages={setImages}
/>
)}
<textarea
autofocus
value={inputMsg}
ref={userInputRef}
onChange={(event: any) => {
setInputMsg(event.target.value);
autoHeight(event.target);
}}
onKeyPress={(event: any) => {
console.log(event);
if (event.ctrlKey && event.code === "Enter") {
send(event.target.value, true);
setInputMsg("");
event.target.value = "";
autoHeight(event.target);
return;
}
autoHeight(event.target);
setInputMsg(event.target.value);
}}
className="textarea textarea-bordered textarea-sm grow w-0"
style={{
lineHeight: "1.39",
}}
placeholder="Type here..."
></textarea>
<button
className="btn btn-primary disabled:btn-neutral disabled:line-through m-1 p-1"
disabled={showGenerating}
onClick={() => {
send(inputMsg, true);
userInputRef.current.value = "";
autoHeight(userInputRef.current);
}}
>
{Tr("Send")}
</button>
{chatStore.whisper_api && chatStore.whisper_key && (
<WhisperButton
chatStore={chatStore}
inputMsg={inputMsg}
setInputMsg={setInputMsg}
/>
)}
{chatStore.develop_mode && (
<button
className="btn disabled:line-through disabled:btn-neutral disabled:text-white m-1 p-1"
disabled={showGenerating || !chatStore.apiKey}
onClick={() => {
chatStore.history.push({
role: "assistant",
content: inputMsg,
token:
calculate_token_length(inputMsg) +
calculate_token_length(images),
hide: false,
example: false,
audio: null,
logprobs: null,
response_model_name: null,
});
setInputMsg("");
setChatStore({ ...chatStore });
}}
>
{Tr("AI")}
</button>
)}
{chatStore.develop_mode && (
<button
className="btn disabled:line-through disabled:btn-neutral disabled:text-white m-1 p-1"
disabled={showGenerating || !chatStore.apiKey}
onClick={() => {
send(inputMsg, false);
}}
>
{Tr("User")}
</button>
)}
{chatStore.develop_mode && (
<button
className="btn disabled:line-through disabled:btn-neutral disabled:text-white m-1 p-1"
disabled={showGenerating || !chatStore.apiKey}
onClick={() => {
setShowAddToolMsg(true);
}}
>
{Tr("Tool")}
</button>
)}
{showAddToolMsg && (
<AddToolMsg
chatStore={chatStore}
setChatStore={setChatStore}
setShowAddToolMsg={setShowAddToolMsg}
/>
)}
</div>
</div>
);
}

View File

@@ -1,180 +0,0 @@
import { IDBPDatabase } from "idb";
import { StateUpdater, useRef, useState, Dispatch } from "preact/hooks";
import { ChatStore } from "@/types/chatstore";
interface ChatStoreSearchResult {
key: IDBValidKey;
cs: ChatStore;
query: string;
preview: string;
}
export default function Search(props: {
db: Promise<IDBPDatabase<ChatStore>>;
setSelectedChatIndex: Dispatch<StateUpdater<number>>;
chatStore: ChatStore;
setShow: (show: boolean) => void;
}) {
const [searchResult, setSearchResult] = useState<ChatStoreSearchResult[]>([]);
const [searching, setSearching] = useState<boolean>(false);
const [searchingNow, setSearchingNow] = useState<number>(0);
const [pageIndex, setPageIndex] = useState<number>(0);
const searchAbortRef = useRef<AbortController | null>(null);
return (
<div
onClick={() => props.setShow(false)}
className="left-0 top-0 overflow-scroll flex justify-center absolute w-screen h-full bg-black bg-opacity-50 z-10"
>
<div
onClick={(event: any) => {
event.stopPropagation();
}}
className="m-2 p-2 bg-base-300 rounded-lg h-fit w-2/3 z-20"
>
<div className="flex justify-between">
<span className="m-1 p-1 font-bold">Search</span>
<button
className="m-1 p-1 btn btn-sm btn-secondary"
onClick={() => props.setShow(false)}
>
Close
</button>
</div>
<div>
<input
autoFocus
className="input input-bordered w-full border"
type="text"
placeholder="Type Something..."
onInput={async (event: any) => {
const query = event.target.value.trim().toLowerCase();
if (!query) {
setSearchResult([]);
return;
}
// abort previous search
if (searchAbortRef.current) {
searchAbortRef.current.abort();
}
// Create a new AbortController for the new operation
const abortController = new AbortController();
searchAbortRef.current = abortController;
const signal = abortController.signal;
setSearching(true);
const db = await props.db;
const resultKeys = await db.getAllKeys("chatgpt-api-web");
const result: ChatStoreSearchResult[] = [];
for (const key of resultKeys) {
// abort the operation if the signal is set
if (signal.aborted) {
return;
}
const now = Math.floor(
(result.length / resultKeys.length) * 100,
);
if (now !== searchingNow) setSearchingNow(now);
const value: ChatStore = await db.get("chatgpt-api-web", key);
const content = value.contents_for_index
.join(" ")
.toLowerCase();
if (content.includes(query)) {
const beginIndex: number = content.indexOf(query);
const preview = content.slice(
Math.max(0, beginIndex - 100),
Math.min(content.length, beginIndex + 239),
);
result.push({
key,
cs: value,
query: query,
preview: preview,
});
}
}
// sort by key desc
result.sort((a, b) => {
if (a.key < b.key) {
return 1;
}
if (a.key > b.key) {
return -1;
}
return 0;
});
console.log(result);
setPageIndex(0);
setSearchResult(result);
setSearching(false);
}}
/>
</div>
{searching && <div>Searching {searchingNow}%...</div>}
<div>
{searchResult
.slice(pageIndex * 10, (pageIndex + 1) * 10)
.map((result: ChatStoreSearchResult) => {
return (
<div
className="flex justify-start p-1 m-1 rounded border bg-base-200 cursor-pointer"
key={result.key}
onClick={() => {
props.setSelectedChatIndex(parseInt(result.key.toString()));
props.setShow(false);
}}
>
<div className="m-1 p-1 font-bold">{result.key}</div>
<div className="m-1 p-1">{result.preview}</div>
</div>
);
})}
</div>
{searchResult.length > 0 && (
<div className="flex justify-center my-2">
<div className="join">
<button
className="join-item btn btn-sm"
disabled={pageIndex === 0}
onClick={() => {
if (pageIndex === 0) {
return;
}
setPageIndex(pageIndex - 1);
}}
>
«
</button>
<button className="join-item btn btn-sm">
Page {pageIndex + 1} /{" "}
{Math.floor(searchResult.length / 10) + 1}
</button>
<button
className="join-item btn btn-sm"
disabled={pageIndex === Math.floor(searchResult.length / 10)}
onClick={() => {
if (pageIndex === Math.floor(searchResult.length / 10)) {
return;
}
setPageIndex(pageIndex + 1);
}}
>
»
</button>
</div>
</div>
)}
</div>
</div>
);
}

View File

@@ -1,39 +0,0 @@
import { TemplateAPI } from "@/types/chatstore";
import { Tr } from "@/translate";
interface Props {
tmps: TemplateAPI[];
setTmps: (tmps: TemplateAPI[]) => void;
label: string;
endpoint: string;
APIkey: string;
}
export function SetAPIsTemplate({
endpoint,
APIkey,
tmps,
setTmps,
label,
}: Props) {
return (
<button
className="btn btn-primary btn-sm mt-3"
onClick={() => {
const name = prompt(`Give this **${label}** template a name:`);
if (!name) {
alert("No template name specified");
return;
}
const tmp: TemplateAPI = {
name,
endpoint,
key: APIkey,
};
tmps.push(tmp);
setTmps([...tmps]);
}}
>
{Tr(`Save ${label}`)}
</button>
);
}

File diff suppressed because it is too large Load Diff

View File

@@ -1,9 +0,0 @@
export const autoHeight = (target: any) => {
target.style.height = "auto";
// max 70% of screen height
target.style.height = `${Math.min(
target.scrollHeight,
window.innerHeight * 0.7,
)}px`;
console.log("set auto height", target.style.height);
};

View File

@@ -1,51 +0,0 @@
import { createContext } from "preact";
import MAP_zh_CN from "@/translate/zh_CN";
interface LangOption {
name: string;
langMap: Record<string, string>;
matches: string[];
}
const LANG_OPTIONS: Record<string, LangOption> = {
"en-US": {
name: "English",
langMap: {},
matches: ["en-US", "en"],
},
"zh-CN": {
name: "中文(简体)",
langMap: MAP_zh_CN,
matches: ["zh-CN", "zh"],
},
};
const langCodeContext = createContext("en-US");
function tr(text: string, langCode: "en-US" | "zh-CN") {
const option = LANG_OPTIONS[langCode];
if (option === undefined) {
return text;
}
const langMap = LANG_OPTIONS[langCode].langMap;
const translatedText = langMap[text.toLowerCase()];
if (translatedText === undefined) {
return text;
}
return translatedText;
}
function Tr(text: string) {
return (
<langCodeContext.Consumer>
{/* @ts-ignore */}
{({ langCode }) => {
return tr(text, langCode);
}}
</langCodeContext.Consumer>
);
}
export { tr, Tr, LANG_OPTIONS, langCodeContext };

View File

@@ -1,59 +0,0 @@
const LANG_MAP: Record<string, string> = {
settings: "设置",
model: "模型",
"copy setting link": "复制设置链接",
"are you sure to clear all history?": "确定要清除所有历史记录吗?",
"clear history": "清除历史记录",
new: "新",
del: "删",
cut: "遗忘",
"please click above to set": "请点击上方进行设置",
cost: "消费",
stream: "流式返回",
fetch: "一次获取",
"saved api templates": "已保存的 API 模板",
"saved prompt templates": "已保存的提示模板",
"no chat history here": "暂无历史对话记录",
"click above to change the settings of this chat":
"点击上方更改此对话的参数(请勿泄漏)",
"click the NEW to create a new chat": "点击左上角 NEW 新建对话",
"all chat history and settings are stored in the local browser":
"所有历史对话与参数储存在浏览器本地",
"documents and source code are avaliable here":
"详细文档与源代码可在此处获取",
"generating...": "生成中,请保持网络稳定...",
"re-generate": "重新生成",
completion: "补全",
"generated by": "生成模型: ",
"info: chat history is too long, forget messages":
"提示:对话历史过长,遗忘消息数量",
"warning: current chatstore version": "警告:当前会话版本",
retry: "重试",
send: "发送",
assistant: "AI消息",
user: "用户消息",
close: "关闭",
"message copied to clipboard": "消息已复制到剪贴板",
"total cost in this session": "本次会话总消费",
"accumulated cost in all sessions": "所有会话总消费",
export: "导出",
"give this template a name:": "给此模板命名:",
"no template name specified": "未指定模板名称",
"as template": "保存为会话模板",
"as api template": "保存为 API 模板",
"this will overwrite the current chat history! continue?":
"此操作将覆盖当前会话历史!继续?",
"please select a json file": "请选择一个 JSON 文件",
"empty file": "警告: 空文件",
"this is not an exported chatgpt-api-web chatstore file. the key 'chatgpt_api_web_version' is missing!":
"此文件不是 chatgpt-api-web 导出的会话文件,缺少 chatgpt_api_web_version 键值!",
"import error on parsing json": "JSON 解析错误",
version: "版本",
"copied link:": "已复制链接:",
reset: "重置",
example: "示例",
render: "渲染",
"reset current": "清空当前会话",
};
export default LANG_MAP;

View File

@@ -1,91 +0,0 @@
import { SpeakerWaveIcon } from "@heroicons/react/24/outline";
import { useMemo, useState } from "preact/hooks";
import { addTotalCost } from "@/utils/totalCost";
import { ChatStore, ChatStoreMessage } from "@/types/chatstore";
import { Message, getMessageText } from "@/chatgpt";
interface TTSProps {
chatStore: ChatStore;
chat: ChatStoreMessage;
setChatStore: (cs: ChatStore) => void;
}
interface TTSPlayProps {
chat: ChatStoreMessage;
}
export function TTSPlay(props: TTSPlayProps) {
const src = useMemo(() => {
if (props.chat.audio instanceof Blob) {
return URL.createObjectURL(props.chat.audio);
}
return "";
}, [props.chat.audio]);
if (props.chat.hide) {
return <></>;
}
if (props.chat.audio instanceof Blob) {
return <audio className="w-full" src={src} controls />;
}
return <></>;
}
export default function TTSButton(props: TTSProps) {
const [generating, setGenerating] = useState(false);
return (
<button
onClick={() => {
const api = props.chatStore.tts_api;
const api_key = props.chatStore.tts_key;
const model = "tts-1";
const input = getMessageText(props.chat);
const voice = props.chatStore.tts_voice;
const body: Record<string, any> = {
model,
input,
voice,
response_format: props.chatStore.tts_format || "mp3",
};
if (props.chatStore.tts_speed_enabled) {
body["speed"] = props.chatStore.tts_speed;
}
setGenerating(true);
fetch(api, {
method: "POST",
headers: {
Authorization: `Bearer ${api_key}`,
"Content-Type": "application/json",
},
body: JSON.stringify(body),
})
.then((response) => response.blob())
.then((blob) => {
// update price
const cost = (input.length * 0.015) / 1000;
props.chatStore.cost += cost;
addTotalCost(cost);
props.setChatStore({ ...props.chatStore });
// save blob
props.chat.audio = blob;
props.setChatStore({ ...props.chatStore });
const url = URL.createObjectURL(blob);
const audio = new Audio(url);
audio.play();
})
.finally(() => {
setGenerating(false);
});
}}
>
{generating ? (
<span className="loading loading-dots loading-xs"></span>
) : (
<SpeakerWaveIcon className="h-4 w-4" />
)}
</button>
);
}

View File

@@ -1,72 +0,0 @@
import { Logprobs, Message } from "@/chatgpt";
/**
* ChatStore is the main object of the chatgpt-api-web,
* stored in IndexedDB and passed across various components.
* It contains all the information needed for a conversation.
*/
export interface ChatStore {
chatgpt_api_web_version: string;
systemMessageContent: string;
toolsString: string;
history: ChatStoreMessage[];
postBeginIndex: number;
tokenMargin: number;
totalTokens: number;
maxTokens: number;
maxGenTokens: number;
maxGenTokens_enabled: boolean;
apiKey: string;
apiEndpoint: string;
streamMode: boolean;
model: string;
cost: number;
temperature: number;
temperature_enabled: boolean;
top_p: number;
top_p_enabled: boolean;
presence_penalty: number;
frequency_penalty: number;
develop_mode: boolean;
whisper_api: string;
whisper_key: string;
tts_api: string;
tts_key: string;
tts_voice: string;
tts_speed: number;
tts_speed_enabled: boolean;
tts_format: string;
image_gen_api: string;
image_gen_key: string;
json_mode: boolean;
logprobs: boolean;
contents_for_index: string[];
}
export interface TemplateChatStore extends ChatStore {
name: string;
}
export interface TemplateAPI {
name: string;
key: string;
endpoint: string;
}
export interface TemplateTools {
name: string;
toolsString: string;
}
/**
* ChatStoreMessage extends the Message type defined by OpenAI.
* It adds more fields to be stored within the ChatStore structure.
*/
export interface ChatStoreMessage extends Message {
hide: boolean;
token: number;
example: boolean;
audio: Blob | null;
logprobs: Logprobs | null;
response_model_name: string | null;
}

View File

@@ -1,114 +0,0 @@
interface Model {
maxToken: number;
price: {
prompt: number;
completion: number;
};
}
export const models: Record<string, Model> = {
"gpt-4o": {
maxToken: 128000,
price: { prompt: 0.005 / 1000, completion: 0.015 / 1000 },
},
"gpt-4o-2024-11-20": {
maxToken: 128000,
price: { prompt: 0.0025 / 1000, completion: 0.01 / 1000 },
},
"gpt-4o-2024-08-06": {
maxToken: 128000,
price: { prompt: 0.0025 / 1000, completion: 0.01 / 1000 },
},
"gpt-4o-2024-05-13": {
maxToken: 128000,
price: { prompt: 0.005 / 1000, completion: 0.015 / 1000 },
},
"gpt-4o-mini": {
maxToken: 128000,
price: { prompt: 0.15 / 1000 / 1000, completion: 0.6 / 1000 / 1000 },
},
"gpt-4o-mini-2024-07-18": {
maxToken: 128000,
price: { prompt: 0.15 / 1000 / 1000, completion: 0.6 / 1000 / 1000 },
},
"o1-preview": {
maxToken: 128000,
price: { prompt: 15 / 1000 / 1000, completion: 60 / 1000 / 1000 },
},
"o1-preview-2024-09-12": {
maxToken: 128000,
price: { prompt: 15 / 1000 / 1000, completion: 60 / 1000 / 1000 },
},
"o1-mini": {
maxToken: 128000,
price: { prompt: 3 / 1000 / 1000, completion: 12 / 1000 / 1000 },
},
"o1-mini-2024-09-12": {
maxToken: 128000,
price: { prompt: 3 / 1000 / 1000, completion: 12 / 1000 / 1000 },
},
"chatgpt-4o-latest": {
maxToken: 128000,
price: { prompt: 0.005 / 1000, completion: 0.015 / 1000 },
},
"gpt-4-turbo": {
maxToken: 128000,
price: { prompt: 0.01 / 1000, completion: 0.03 / 1000 },
},
"gpt-4-turbo-2024-04-09": {
maxToken: 128000,
price: { prompt: 0.01 / 1000, completion: 0.03 / 1000 },
},
"gpt-4": {
maxToken: 8192,
price: { prompt: 0.03 / 1000, completion: 0.06 / 1000 },
},
"gpt-4-32k": {
maxToken: 8192,
price: { prompt: 0.06 / 1000, completion: 0.12 / 1000 },
},
"gpt-4-0125-preview": {
maxToken: 128000,
price: { prompt: 0.01 / 1000, completion: 0.03 / 1000 },
},
"gpt-4-1106-preview": {
maxToken: 128000,
price: { prompt: 0.01 / 1000, completion: 0.03 / 1000 },
},
"gpt-4-vision-preview": {
maxToken: 128000,
price: { prompt: 0.01 / 1000, completion: 0.03 / 1000 },
},
"gpt-4-1106-vision-preview": {
maxToken: 128000,
price: { prompt: 0.01 / 1000, completion: 0.03 / 1000 },
},
"gpt-3.5-turbo": {
maxToken: 4096,
price: { prompt: 0.0015 / 1000, completion: 0.002 / 1000 },
},
"gpt-3.5-turbo-0125": {
maxToken: 16385,
price: { prompt: 0.0005 / 1000, completion: 0.0015 / 1000 },
},
"gpt-3.5-turbo-instruct": {
maxToken: 16385,
price: { prompt: 0.5 / 1000 / 1000, completion: 2 / 1000 / 1000 },
},
"gpt-3.5-turbo-1106": {
maxToken: 16385,
price: { prompt: 0.001 / 1000, completion: 0.002 / 1000 },
},
"gpt-3.5-turbo-0613": {
maxToken: 16385,
price: { prompt: 1.5 / 1000 / 1000, completion: 2 / 1000 / 1000 },
},
"gpt-3.5-turbo-16k-0613": {
maxToken: 16385,
price: { prompt: 0.003 / 1000, completion: 0.004 / 1000 },
},
"gpt-3.5-turbo-0301": {
maxToken: 16385,
price: { prompt: 1.5 / 1000 / 1000, completion: 2 / 1000 / 1000 },
},
};

View File

@@ -1,93 +0,0 @@
import {
DefaultAPIEndpoint,
DefaultModel,
CHATGPT_API_WEB_VERSION,
} from "@/const";
import { getDefaultParams } from "@/utils/getDefaultParam";
import { ChatStore } from "@/types/chatstore";
import { models } from "@/types/models";
interface NewChatStoreOptions {
apiKey?: string;
systemMessageContent?: string;
apiEndpoint?: string;
streamMode?: boolean;
model?: string;
temperature?: number;
temperature_enabled?: boolean;
top_p?: number;
top_p_enabled?: boolean;
presence_penalty?: number;
frequency_penalty?: number;
dev?: boolean;
whisper_api?: string;
whisper_key?: string;
tts_api?: string;
tts_key?: string;
tts_voice?: string;
tts_speed?: number;
tts_speed_enabled?: boolean;
tts_format?: string;
toolsString?: string;
image_gen_api?: string;
image_gen_key?: string;
json_mode?: boolean;
logprobs?: boolean;
}
export const newChatStore = (options: NewChatStoreOptions): ChatStore => {
return {
chatgpt_api_web_version: CHATGPT_API_WEB_VERSION,
systemMessageContent: getDefaultParams(
"sys",
options.systemMessageContent ?? ""
),
toolsString: options.toolsString ?? "",
history: [],
postBeginIndex: 0,
tokenMargin: 1024,
totalTokens: 0,
maxTokens: getDefaultParams(
"max",
models[getDefaultParams("model", options.model ?? DefaultModel)]
?.maxToken ?? 2048
),
maxGenTokens: 2048,
maxGenTokens_enabled: false,
apiKey: getDefaultParams("key", options.apiKey ?? ""),
apiEndpoint: getDefaultParams(
"api",
options.apiEndpoint ?? DefaultAPIEndpoint
),
streamMode: getDefaultParams("mode", options.streamMode ?? true),
model: getDefaultParams("model", options.model ?? DefaultModel),
cost: 0,
temperature: getDefaultParams("temp", options.temperature ?? 1),
temperature_enabled: options.temperature_enabled ?? true,
top_p: options.top_p ?? 1,
top_p_enabled: options.top_p_enabled ?? false,
presence_penalty: options.presence_penalty ?? 0,
frequency_penalty: options.frequency_penalty ?? 0,
develop_mode: getDefaultParams("dev", options.dev ?? false),
whisper_api: getDefaultParams(
"whisper-api",
options.whisper_api ?? "https://api.openai.com/v1/audio/transcriptions"
),
whisper_key: getDefaultParams("whisper-key", options.whisper_key ?? ""),
tts_api: getDefaultParams(
"tts-api",
options.tts_api ?? "https://api.openai.com/v1/audio/speech"
),
tts_key: getDefaultParams("tts-key", options.tts_key ?? ""),
tts_voice: options.tts_voice ?? "alloy",
tts_speed: options.tts_speed ?? 1.0,
tts_speed_enabled: options.tts_speed_enabled ?? false,
image_gen_api:
options.image_gen_api ?? "https://api.openai.com/v1/images/generations",
image_gen_key: options.image_gen_key ?? "",
json_mode: options.json_mode ?? false,
tts_format: options.tts_format ?? "mp3",
logprobs: options.logprobs ?? false,
contents_for_index: [],
};
};

View File

@@ -1,19 +0,0 @@
export function getDefaultParams(param: string, val: string): string;
export function getDefaultParams(param: string, val: number): number;
export function getDefaultParams(param: string, val: boolean): boolean;
export function getDefaultParams(param: any, val: any) {
const queryParameters = new URLSearchParams(window.location.search);
const get = queryParameters.get(param);
if (typeof val === "string") {
return get ?? val;
} else if (typeof val === "number") {
return parseFloat(get ?? `${val}`);
} else if (typeof val === "boolean") {
if (get === "stream") return true;
if (get === "fetch") return false;
if (get === "true") return true;
if (get === "false") return false;
return val;
}
}

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@@ -1,18 +0,0 @@
import { STORAGE_NAME_TOTALCOST } from "@/const";
export function addTotalCost(cost: number) {
let totalCost = getTotalCost();
totalCost += cost;
localStorage.setItem(STORAGE_NAME_TOTALCOST, `${totalCost}`);
}
export function getTotalCost(): number {
let totalCost = parseFloat(
localStorage.getItem(STORAGE_NAME_TOTALCOST) ?? "0",
);
return totalCost;
}
export function clearTotalCost() {
localStorage.setItem(STORAGE_NAME_TOTALCOST, `0`);
}

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@@ -1,42 +1,8 @@
/** @type {import('tailwindcss').Config} */ /** @type {import('tailwindcss').Config} */
module.exports = { module.exports = {
content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"], content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"],
daisyui: {
themes: ["light",
"dark",
"cupcake",
"bumblebee",
"emerald",
"corporate",
"synthwave",
"retro",
"cyberpunk",
"valentine",
"halloween",
"garden",
"forest",
"aqua",
"lofi",
"pastel",
"fantasy",
"wireframe",
"black",
"luxury",
"dracula",
"cmyk",
"autumn",
"business",
"acid",
"lemonade",
"night",
"coffee",
"winter",
"dim",
"nord",
"sunset",],
},
theme: { theme: {
extend: {}, extend: {},
}, },
plugins: [require('daisyui')], plugins: [],
}; };

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@@ -1,9 +1,5 @@
{ {
"compilerOptions": { "compilerOptions": {
"baseUrl": "src",
"paths": {
"@/*": ["*"]
},
"target": "ESNext", "target": "ESNext",
"useDefineForClassFields": true, "useDefineForClassFields": true,
"lib": ["DOM", "DOM.Iterable", "ESNext"], "lib": ["DOM", "DOM.Iterable", "ESNext"],

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@@ -1,14 +1,8 @@
import { defineConfig } from 'vite' import { defineConfig } from 'vite'
import preact from '@preact/preset-vite' import preact from '@preact/preset-vite'
import path from 'path'
// https://vitejs.dev/config/ // https://vitejs.dev/config/
export default defineConfig({ export default defineConfig({
plugins: [preact()], plugins: [preact()],
base: './', base: './',
resolve: {
alias: {
'@': path.resolve(__dirname, 'src')
}
}
}) })

1560
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