1 Commits

Author SHA1 Message Date
e1ef16015d markdown 2023-03-25 16:59:05 +08:00
30 changed files with 849 additions and 4518 deletions

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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>
>
> 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 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)
@@ -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
- 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
- 可以导入/导出整个历史对话记录
- 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~~
- 可删除对话消息
- 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))
- 可以为不同对话设置不同 APIKEY
- 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)
- 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
@@ -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
- 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
- `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"
- `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
- `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 0.7
- `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

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@@ -2,14 +2,7 @@
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta
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"
/>
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>ChatGPT API Web</title>
</head>
<body>

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@@ -9,19 +9,16 @@
"preview": "vite preview"
},
"dependencies": {
"@types/ungap__structured-clone": "^0.3.1",
"@ungap/structured-clone": "^1.2.0",
"autoprefixer": "^10.4.16",
"idb": "^7.1.1",
"postcss": "^8.4.31",
"preact": "^10.18.1",
"autoprefixer": "^10.4.14",
"postcss": "^8.4.21",
"preact": "^10.11.3",
"preact-markdown": "^2.1.0",
"sakura.css": "^1.5.0",
"tailwindcss": "^3.3.4"
"sakura.css": "^1.4.1",
"tailwindcss": "^3.2.7"
},
"devDependencies": {
"@preact/preset-vite": "^2.6.0",
"typescript": "^5.2.2",
"vite": "^4.5.0"
"@preact/preset-vite": "^2.5.0",
"typescript": "^4.9.3",
"vite": "^4.1.0"
}
}

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const CHATGPT_API_WEB_VERSION = "v2.1.0";
export default CHATGPT_API_WEB_VERSION;

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@@ -1,324 +0,0 @@
import { useState } from "preact/hooks";
import { ChatStore } from "./app";
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-white rounded p-2 z-20"
onClick={(event) => {
event.stopPropagation();
}}
>
<h2>Add Images</h2>
<span>
<button
className="disabled:line-through disabled:bg-slate-500 rounded m-1 p-1 border-2 bg-cyan-400 hover:bg-cyan-600"
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="disabled:line-through disabled:bg-slate-500 rounded m-1 p-1 border-2 bg-cyan-400 hover:bg-cyan-600"
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>
{chatStore.image_gen_api && chatStore.image_gen_key && (
<div className="flex flex-col">
<hr className="my-2" />
<h3>Generate Image</h3>
<span className="flex flex-row justify-between m-1 p-1">
<label>Prompt: </label>
<textarea
className="border rounded border-gray-400"
value={imageGenPrompt}
onChange={(e: any) => {
setImageGenPrompt(e.target.value);
}}
/>
</span>
<span className="flex flex-row justify-between m-1 p-1">
<label>Model: </label>
<select
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 m-1 p-1">
<label>n: </label>
<input
value={imageGenN}
type="number"
min={1}
max={10}
onChange={(e: any) => setImageGenN(parseInt(e.target.value))}
/>
</span>
<span className="flex flex-row justify-between m-1 p-1">
<label>Quality: </label>
<select
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 m-1 p-1">
<label>Response Format: </label>
<select
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 m-1 p-1">
<label>Size: </label>
<select
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 m-1 p-1">
<label>Style (only dall-e-3): </label>
<select
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 m-1 p-1">
<button
className="bg-sky-400 m-1 p-1 rounded disabled:bg-slate-500"
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,
});
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>
);
}

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@@ -1,351 +1,124 @@
import { IDBPDatabase, openDB } from "idb";
import { useEffect, useState } from "preact/hooks";
import "./global.css";
import { calculate_token_length, Logprobs, Message } from "./chatgpt";
import { Message } from "./chatgpt";
import getDefaultParams from "./getDefaultParam";
import ChatBOX from "./chatbox";
import models, { defaultModel } from "./models";
import { Tr, langCodeContext, LANG_OPTIONS } from "./translate";
import CHATGPT_API_WEB_VERSION from "./CHATGPT_API_WEB_VERSION";
export interface ChatStoreMessage extends Message {
hide: boolean;
token: number;
example: boolean;
audio: Blob | null;
logprobs: Logprobs | null;
}
export interface TemplateAPI {
name: string;
key: string;
endpoint: string;
}
export interface TemplateTools {
name: string;
toolsString: string;
}
export interface ChatStore {
chatgpt_api_web_version: string;
systemMessageContent: string;
toolsString: string;
history: ChatStoreMessage[];
history: Message[];
postBeginIndex: number;
tokenMargin: number;
totalTokens: number;
maxTokens: number;
maxGenTokens: number;
maxGenTokens_enabled: boolean;
apiKey: string;
apiEndpoint: string;
streamMode: boolean;
model: string;
responseModelName: 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;
}
const _defaultAPIEndpoint = "/v1/chat/completions";
export const newChatStore = (
const _defaultAPIEndpoint = "https://api.openai.com/v1/chat/completions";
const newChatStore = (
apiKey = "",
systemMessageContent = "",
systemMessageContent = "你是一个有用的人工智能助理",
apiEndpoint = _defaultAPIEndpoint,
streamMode = true,
model = defaultModel,
temperature = 0.7,
dev = false,
whisper_api = "https://api.openai.com/v1/audio/transcriptions",
whisper_key = "",
tts_api = "https://api.openai.com/v1/audio/speech",
tts_key = "",
tts_speed = 1.0,
tts_speed_enabled = false,
tts_format = "mp3",
toolsString = "",
image_gen_api = "https://api.openai.com/v1/images/generations",
image_gen_key = "",
json_mode = false,
logprobs = true
streamMode = true
): ChatStore => {
return {
chatgpt_api_web_version: CHATGPT_API_WEB_VERSION,
systemMessageContent: getDefaultParams("sys", systemMessageContent),
toolsString,
history: [],
postBeginIndex: 0,
tokenMargin: 1024,
totalTokens: 0,
maxTokens: getDefaultParams(
"max",
models[getDefaultParams("model", model)]?.maxToken ?? 2048
),
maxGenTokens: 2048,
maxGenTokens_enabled: true,
maxTokens: 4096,
apiKey: getDefaultParams("key", apiKey),
apiEndpoint: getDefaultParams("api", apiEndpoint),
streamMode: getDefaultParams("mode", streamMode),
model: getDefaultParams("model", model),
responseModelName: "",
cost: 0,
temperature: getDefaultParams("temp", temperature),
temperature_enabled: true,
top_p: 1,
top_p_enabled: false,
presence_penalty: 0,
frequency_penalty: 0,
develop_mode: getDefaultParams("dev", dev),
whisper_api: getDefaultParams("whisper-api", whisper_api),
whisper_key: getDefaultParams("whisper-key", whisper_key),
tts_api: getDefaultParams("tts-api", tts_api),
tts_key: getDefaultParams("tts-key", tts_key),
tts_voice: "alloy",
tts_speed: tts_speed,
tts_speed_enabled: tts_speed_enabled,
image_gen_api: image_gen_api,
image_gen_key: image_gen_key,
json_mode: json_mode,
tts_format: tts_format,
logprobs,
};
};
export const STORAGE_NAME = "chatgpt-api-web";
const STORAGE_NAME = "chatgpt-api-web";
const STORAGE_NAME_SELECTED = `${STORAGE_NAME}-selected`;
const STORAGE_NAME_INDEXES = `${STORAGE_NAME}-indexes`;
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 = `${STORAGE_NAME_TEMPLATE}-tools`;
export function addTotalCost(cost: number) {
let totalCost = getTotalCost();
totalCost += cost;
localStorage.setItem(STORAGE_NAME_TOTALCOST, `${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`);
}
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) ?? "1")
parseInt(localStorage.getItem(STORAGE_NAME_SELECTED) ?? "0")
);
console.log("selectedChatIndex", selectedChatIndex);
useEffect(() => {
console.log("set selected chat index", selectedChatIndex);
localStorage.setItem(STORAGE_NAME_SELECTED, `${selectedChatIndex}`);
}, [selectedChatIndex]);
const db = openDB<ChatStore>(STORAGE_NAME, 1, {
upgrade(db) {
const store = db.createObjectStore(STORAGE_NAME, {
autoIncrement: true,
});
// copy from localStorage to indexedDB
const allChatStoreIndexes: number[] = JSON.parse(
localStorage.getItem(STORAGE_NAME_INDEXES) ?? "[]"
);
let keyCount = 0;
for (const i of allChatStoreIndexes) {
console.log("importing chatStore from localStorage", i);
const key = `${STORAGE_NAME}-${i}`;
const getChatStoreByIndex = (index: number): ChatStore => {
const key = `${STORAGE_NAME}-${index}`;
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. 🎉"
);
}
},
});
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.responseModelName === undefined) ret.responseModelName = "";
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;
if (val === null) return newChatStore();
return JSON.parse(val) as ChatStore;
};
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
const [chatStore, _setChatStore] = useState(
getChatStoreByIndex(selectedChatIndex)
);
for (const msg of chatStore.history
.filter(({ hide }) => !hide)
.slice(chatStore.postBeginIndex)) {
chatStore.totalTokens += msg.token;
}
const setChatStore = (cs: ChatStore) => {
console.log("saved chat", selectedChatIndex, chatStore);
(await db).put(STORAGE_NAME, chatStore, selectedChatIndex);
_setChatStore(chatStore);
localStorage.setItem(
`${STORAGE_NAME}-${selectedChatIndex}`,
JSON.stringify(cs)
);
_setChatStore(cs);
};
useEffect(() => {
const run = async () => {
_setChatStore(await getChatStoreByIndex(selectedChatIndex));
};
run();
_setChatStore(getChatStoreByIndex(selectedChatIndex));
}, [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.apiKey,
chatStore.systemMessageContent,
chatStore.apiEndpoint,
chatStore.streamMode,
chatStore.model,
chatStore.temperature,
!!chatStore.develop_mode,
chatStore.whisper_api,
chatStore.whisper_key,
chatStore.tts_api,
chatStore.tts_key,
chatStore.tts_speed,
chatStore.tts_speed_enabled,
chatStore.tts_format,
chatStore.toolsString,
chatStore.image_gen_api,
chatStore.image_gen_key,
chatStore.json_mode,
chatStore.logprobs
)
);
setSelectedChatIndex(newKey as number);
setAllChatStoreIndexes(await (await db).getAllKeys(STORAGE_NAME));
};
const handleNewChatStore = async () => {
return handleNewChatStoreWithOldOne(chatStore);
};
// 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 bg-slate-200 dark:bg-slate-800 dark:text-white">
<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={handleNewChatStore}
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);
}}
>
{Tr("NEW")}
NEW
</button>
<ul>
{(allChatStoreIndexes as number[])
{allChatStoreIndexes
.slice()
.reverse()
.map((i) => {
@@ -353,7 +126,7 @@ export function App() {
return (
<li>
<button
className={`w-full my-1 p-1 rounded hover:bg-blue-500 ${
className={`w-full my-1 p-1 rounded hover:bg-blue-300 ${
i === selectedChatIndex ? "bg-blue-500" : "bg-blue-200"
}`}
onClick={() => {
@@ -369,57 +142,40 @@ export function App() {
</div>
<button
className="rounded bg-rose-400 p-1 my-1 w-full"
onClick={async () => {
onClick={() => {
if (!confirm("Are you sure you want to delete this chat history?"))
return;
console.log("remove item", `${STORAGE_NAME}-${selectedChatIndex}`);
(await db).delete(STORAGE_NAME, selectedChatIndex);
const newAllChatStoreIndexes = await (
await db
).getAllKeys(STORAGE_NAME);
localStorage.removeItem(`${STORAGE_NAME}-${selectedChatIndex}`);
const newAllChatStoreIndexes = [
...allChatStoreIndexes.filter((v) => v !== selectedChatIndex),
];
if (newAllChatStoreIndexes.length === 0) {
handleNewChatStore();
return;
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 as number);
setAllChatStoreIndexes(newAllChatStoreIndexes);
}}
>
{Tr("DEL")}
</button>
{chatStore.develop_mode && (
<button
className="rounded bg-rose-800 p-1 my-1 w-full text-white"
onClick={async () => {
if (
!confirm(
"Are you sure you want to delete **ALL** chat history?"
)
)
return;
setSelectedChatIndex(next);
await (await db).clear(STORAGE_NAME);
setAllChatStoreIndexes([]);
setSelectedChatIndex(1);
window.location.reload();
setAllChatStoreIndexes([...newAllChatStoreIndexes]);
}}
>
{Tr("CLS")}
DEL
</button>
)}
</div>
<ChatBOX
chatStore={chatStore}
setChatStore={setChatStore}
selectedChatIndex={selectedChatIndex}
setSelectedChatIndex={setSelectedChatIndex}
/>
<ChatBOX chatStore={chatStore} setChatStore={setChatStore} />
</div>
);
}

File diff suppressed because it is too large Load Diff

View File

@@ -1,87 +1,15 @@
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 {
role: "system" | "user" | "assistant" | "tool";
content: string | MessageDetail[];
name?: "example_user" | "example_assistant";
tool_calls?: ToolCall[];
tool_call_id?: string;
role: "system" | "user" | "assistant";
content: 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 {
model: string;
choices: {
delta: { role: "assitant" | undefined; content: string | undefined };
}[];
}
export interface FetchResponse {
error?: any;
id: string;
object: string;
created: number;
@@ -95,219 +23,69 @@ export interface FetchResponse {
message: Message | undefined;
finish_reason: "stop" | "length";
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 {
OPENAI_API_KEY: string;
messages: Message[];
sysMessageContent: string;
toolsString: string;
total_tokens: number;
max_tokens: number;
max_gen_tokens: number;
enable_max_gen_tokens: boolean;
tokens_margin: number;
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(
OPENAI_API_KEY: string | undefined,
{
systemMessage = "",
toolsString = "",
systemMessage = "你是一个有用的人工智能助理",
max_tokens = 4096,
max_gen_tokens = 2048,
enable_max_gen_tokens = true,
tokens_margin = 1024,
apiEndPoint = "https://api.openai.com/v1/chat/completions",
model = "gpt-3.5-turbo",
temperature = 0.7,
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.total_tokens = calculate_token_length(systemMessage);
this.total_tokens = 0;
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.sysMessageContent = systemMessage;
this.toolsString = toolsString;
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) {
// 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}`;
}
_fetch(stream = false) {
return fetch(this.apiEndpoint, {
method: "POST",
headers,
body: JSON.stringify(body),
headers: {
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) {
const reader = resp?.body?.pipeThrough(new TextDecoderStream()).getReader();
if (reader === undefined) {
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;
}
}
}
async fetch(): Promise<FetchResponse> {
const resp = await this._fetch();
return await resp.json();
}
processFetchResponse(resp: FetchResponse): Message {
if (resp.error !== undefined) {
throw JSON.stringify(resp.error);
async say(content: string): Promise<string> {
this.messages.push({ role: "user", content });
await this.complete();
return this.messages.slice(-1)[0].content;
}
processFetchResponse(resp: FetchResponse): string {
this.total_tokens = resp?.usage?.total_tokens ?? 0;
if (resp?.choices[0]?.message) {
this.messages.push(resp?.choices[0]?.message);
@@ -319,26 +97,33 @@ class Chat {
this.forgetSomeMessages();
}
let content = resp.choices[0].message?.content ?? "";
if (
!resp.choices[0]?.message?.content &&
!resp.choices[0]?.message?.tool_calls
) {
content = `Unparsed response: ${JSON.stringify(resp)}`;
return (
resp?.choices[0]?.message?.content ?? `Error: ${JSON.stringify(resp)}`
);
}
return {
role: "assistant",
content,
tool_calls: resp?.choices[0]?.message?.tool_calls,
};
async complete(): Promise<string> {
const resp = await this.fetch();
return this.processFetchResponse(resp);
}
calculate_token_length(content: string | MessageDetail[]): number {
return calculate_token_length(content);
completeWithSteam() {
this.total_tokens = this.messages
.map((msg) => this.calculate_token_length(msg.content) + 20)
.reduce((a, v) => a + v);
return this._fetch(true);
}
user(...messages: (string | MessageDetail[])[]) {
// 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) {
this.messages.push({ role: "user", content: msg });
this.total_tokens += this.calculate_token_length(msg);
@@ -346,7 +131,7 @@ class Chat {
}
}
assistant(...messages: (string | MessageDetail[])[]) {
assistant(...messages: string[]) {
for (const msg of messages) {
this.messages.push({ role: "assistant", content: msg });
this.total_tokens += this.calculate_token_length(msg);

View File

@@ -1,70 +0,0 @@
import { Tr, langCodeContext, LANG_OPTIONS, tr } from "./translate";
import { useState, useEffect, StateUpdater } from "preact/hooks";
import { ChatStore, ChatStoreMessage } from "./app";
import { calculate_token_length, getMessageText } from "./chatgpt";
import { isVailedJSON } from "./message";
import { EditMessageString } from "./editMessageString";
import { EditMessageDetail } from "./editMessageDetail";
interface EditMessageProps {
chat: ChatStoreMessage;
chatStore: ChatStore;
setShowEdit: 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={() => {
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 "./app";
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-between">
{mdt.type === "text" ? (
<textarea
className={"w-full"}
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>
) : (
<>
<img
className="max-h-32 max-w-xs cursor-pointer"
src={mdt.image_url?.url}
onClick={() => {
window.open(mdt.image_url?.url, "_blank");
}}
/>
<button
className="bg-blue-300 p-1 rounded"
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"
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"
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>
</>
)}
<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 "./app";
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>
);
}

View File

@@ -7,12 +7,10 @@ function getDefaultParams(param: any, val: any) {
if (typeof val === "string") {
return get ?? val;
} else if (typeof val === "number") {
return parseFloat(get ?? `${val}`);
return parseInt(get ?? `${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;
}
}

View File

@@ -2,12 +2,6 @@
@tailwind components;
@tailwind utilities;
html,
body,
#app {
height: 100%;
}
/* Hide scrollbar for webkit based browsers */
::-webkit-scrollbar {
display: none;
@@ -28,113 +22,6 @@ body::-webkit-scrollbar {
display: none;
}
.message-content {
p.message-content {
white-space: pre-wrap;
}
.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;
}

View File

@@ -1,81 +0,0 @@
import { ChatStore, TemplateAPI } from "./app";
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 bg-white my-3 text-left dark:text-black">
<h2>{Tr(`Saved ${label} templates`)}</h2>
<hr className="my-2" />
<div className="flex flex-wrap">
{tmps.map((t, index) => (
<div
className={`cursor-pointer rounded ${
// @ts-ignore
chatStore[apiField] === t.endpoint &&
// @ts-ignore
chatStore[keyField] === t.key
? "bg-red-600"
: "bg-red-400"
} w-fit p-2 m-1 flex flex-col`}
onClick={() => {
// @ts-ignore
chatStore[apiField] = t.endpoint;
// @ts-ignore
chatStore[keyField] = t.key;
setChatStore({ ...chatStore });
}}
>
<span className="w-full text-center">{t.name}</span>
<hr className="mt-2" />
<span className="flex justify-between">
<button
onClick={() => {
const name = prompt(`Give **${label}** template a name`);
if (!name) {
return;
}
t.name = name;
setTmps(structuredClone(tmps));
}}
>
🖋
</button>
<button
onClick={() => {
if (
!confirm(
`Are you sure to delete this **${label}** template?`
)
) {
return;
}
tmps.splice(index, 1);
setTmps(structuredClone(tmps));
}}
>
</button>
</span>
</div>
))}
</div>
</div>
);
}

View File

@@ -1,78 +0,0 @@
import { ChatStore, TemplateTools } from "./app";
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-red-600"
: "bg-red-400"
} 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>
<hr className="mt-2" />
<span className="flex justify-between">
<button
onClick={() => {
const name = prompt(`Give **tools** template a name`);
if (!name) {
return;
}
t.name = name;
setTemplateTools(structuredClone(templateTools));
}}
>
🖋
</button>
<button
onClick={() => {
if (
!confirm(`Are you sure to delete this **tools** template?`)
) {
return;
}
templateTools.splice(index, 1);
setTemplateTools(structuredClone(templateTools));
}}
>
</button>
</span>
</div>
))}
</div>
</div>
);
}

View File

@@ -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 = `rgb(${red}, ${green}, 0)`;
return color;
};
export default logprobToColor;

View File

@@ -1,52 +1,4 @@
import { render } from "preact";
import { App } from "./app";
import { useState, useEffect } from "preact/hooks";
import { Tr, langCodeContext, LANG_OPTIONS } from "./translate";
import { render } from 'preact'
import { App } from './app'
function Base() {
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(() => {
// 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);
render(<App />, document.getElementById('app') as HTMLElement)

View File

@@ -1,229 +1,72 @@
import { Tr, langCodeContext, LANG_OPTIONS } from "./translate";
import { useState, useEffect, StateUpdater } from "preact/hooks";
import { ChatStore, ChatStoreMessage } from "./app";
import { calculate_token_length, getMessageText } from "./chatgpt";
import Markdown from "preact-markdown";
import TTSButton, { TTSPlay } from "./tts";
import { MessageHide } from "./messageHide";
import { MessageDetail } from "./messageDetail";
import { MessageToolCall } from "./messageToolCall";
import { MessageToolResp } from "./messageToolResp";
import { EditMessage } from "./editMessage";
import logprobToColor from "./logprob";
import { ChatStore } from "./app";
export const isVailedJSON = (str: string): boolean => {
try {
JSON.parse(str);
} catch (e) {
return false;
}
return true;
};
const Pre: React.FC<any> = ({ children, props }) => (
<div class="rounded p-1 bg-black text-white" {...props}>{children}</div>
);
const Code: React.FC<any> = ({ children }) => <code className="overflow-scroll break-keep">{children}</code>;
interface Props {
messageIndex: number;
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
update_total_tokens: () => void;
}
export default function Message(props: Props) {
const { chatStore, messageIndex, setChatStore } = props;
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 = () => (
<button
className={`absolute bottom-0 ${
chat.role === "user" ? "left-0" : "right-0"
}`}
onClick={() => {
chatStore.history[messageIndex].hide =
!chatStore.history[messageIndex].hide;
//chatStore.totalTokens =
chatStore.totalTokens = 0;
for (const i of chatStore.history
.filter(({ hide }) => !hide)
.slice(chatStore.postBeginIndex)
.map(({ token }) => token)) {
chatStore.totalTokens += i;
}
if (
confirm(
`Are you sure to delete this message?\n${chat.content.slice(
0,
39
)}...`
)
) {
chatStore.history.splice(messageIndex, 1);
chatStore.postBeginIndex = Math.max(chatStore.postBeginIndex - 1, 0);
setChatStore({ ...chatStore });
}
}}
>
🗑
</button>
);
const CopiedHint = () => (
<span
className={
"bg-purple-400 p-1 rounded shadow-md absolute z-20 left-1/2 top-3/4 transform -translate-x-1/2 -translate-y-1/2"
}
>
{Tr("Message copied to clipboard!")}
</span>
);
const copyToClipboard = (text: string) => {
navigator.clipboard.writeText(text);
setShowCopiedHint(true);
setTimeout(() => setShowCopiedHint(false), 1000);
};
const CopyIcon = ({ textToCopy }: { textToCopy: string }) => {
const codeMatches = chat.content.match(/(```([\s\S]*?)```$)/);
const AnyMarkdown = Markdown as any;
console.log("codeMatches", codeMatches);
if (codeMatches) console.log("matches", codeMatches[0]);
return (
<>
<button
onClick={() => {
copyToClipboard(textToCopy);
}}
>
📋
</button>
</>
);
};
return (
<>
{chatStore.postBeginIndex !== 0 &&
!chatStore.history[messageIndex].hide &&
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 bg-slate-800 dark:bg-white" />
<span className="absolute px-3 bg-slate-800 text-white rounded p-1 dark:bg-white dark:text-black">
Above messages are "forgotten"
</span>
</div>
)}
<div
className={`flex ${
chat.role === "assistant" ? "justify-start" : "justify-end"
}`}
>
<div>
<div
className={`w-fit p-2 rounded my-2 ${
className={`relative w-fit p-2 rounded my-2 ${
chat.role === "assistant"
? "bg-white dark:bg-gray-700 dark:text-white"
: "bg-green-400"
} ${chat.hide ? "opacity-50" : ""}`}
}`}
>
{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={{
color: logprobToColor(c.logprob),
display: "inline",
<p className="message-content">
<AnyMarkdown
markdown={chat.content}
markupOpts={{
components: {
code: Code,
pre: Pre,
},
}}
>
{c.token}
</div>
))
: getMessageText(chat))
}
</div>
)}
<hr className="mt-2" />
<TTSPlay chat={chat} />
<div className="w-full flex justify-between">
/>
</p>
<DeleteIcon />
<button onClick={() => setShowEdit(true)}>🖋</button>
{chatStore.tts_api && chatStore.tts_key && (
<TTSButton
chatStore={chatStore}
chat={chat}
setChatStore={setChatStore}
/>
)}
<CopyIcon textToCopy={getMessageText(chat)} />
</div>
</div>
{showEdit && (
<EditMessage
setShowEdit={setShowEdit}
chat={chat}
chatStore={chatStore}
setChatStore={setChatStore}
/>
)}
{showCopiedHint && <CopiedHint />}
{chatStore.develop_mode && (
<div>
<span className="dark:text-white">token</span>
<input
value={chat.token}
className="w-20"
onChange={(event: any) => {
chat.token = parseInt(event.target.value);
props.update_total_tokens();
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 });
}}
>
</button>
<span
onClick={(event: any) => {
chat.example = !chat.example;
setChatStore({ ...chatStore });
}}
>
<label className="dark:text-white">{Tr("example")}</label>
<input type="checkbox" checked={chat.example} />
</span>
<span
onClick={(event: any) => setRenderWorkdown(!renderMarkdown)}
>
<label className="dark:text-white">{Tr("render")}</label>
<input type="checkbox" checked={renderMarkdown} />
</span>
<span onClick={(event: any) => setRenderColor(!renderColor)}>
<label className="dark:text-white">{Tr("color")}</label>
<input type="checkbox" checked={renderColor} />
</span>
</div>
)}
</div>
</div>
</>
);
}

View File

@@ -1,35 +0,0 @@
import { ChatStoreMessage } from "./app";
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) + "... (deleted)"
) : renderMarkdown ? (
// @ts-ignore
<Markdown markdown={mdt.text} />
) : (
mdt.text
)
) : (
<img
className="cursor-pointer max-w-xs max-h-32 p-1"
src={mdt.image_url?.url}
onClick={() => {
window.open(mdt.image_url?.url, "_blank");
}}
/>
)
)}
</div>
);
}

View File

@@ -1,12 +0,0 @@
import { ChatStoreMessage } from "./app";
import { getMessageText } from "./chatgpt";
interface Props {
chat: ChatStoreMessage;
}
export function MessageHide({ chat }: Props) {
return (
<div>{getMessageText(chat).split("\n")[0].slice(0, 18)} ... (deleted)</div>
);
}

View File

@@ -1,45 +0,0 @@
import { ChatStoreMessage } from "./app";
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>
);
}

View File

@@ -1,24 +0,0 @@
import { ChatStoreMessage } from "./app";
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>
);
}

View File

@@ -1,26 +0,0 @@
interface Model {
maxToken: number;
price: {
prompt: number;
completion: number;
};
}
const models: Record<string, Model> = {
"gpt-3.5-turbo-0125": {
maxToken: 16385,
price: { prompt: 0.0005 / 1000, completion: 0.0015 / 1000 },
},
"gpt-3.5-turbo-1106": {
maxToken: 16385,
price: { prompt: 0.001 / 1000, completion: 0.002 / 1000 },
},
"gpt-4-0125-preview": {
maxToken: 128000,
price: { prompt: 0.01 / 1000, completion: 0.03 / 1000 },
},
};
export const defaultModel = "gpt-3.5-turbo-0125";
export default models;

View File

@@ -1,39 +0,0 @@
import { TemplateAPI } from "./app";
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="p-1 m-1 rounded bg-blue-300"
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>
);
}

View File

@@ -1,30 +1,5 @@
import { createRef } from "preact";
import { StateUpdater, useContext, useEffect, useState } from "preact/hooks";
import {
ChatStore,
TemplateAPI,
TemplateTools,
clearTotalCost,
getTotalCost,
} from "./app";
import models from "./models";
import { TemplateChatStore } from "./chatbox";
import { tr, Tr, langCodeContext, LANG_OPTIONS } from "./translate";
import p from "preact-markdown";
import { isVailedJSON } from "./message";
import { SetAPIsTemplate } from "./setAPIsTemplate";
import { autoHeight } from "./textarea";
import getDefaultParams from "./getDefaultParam";
const TTS_VOICES: string[] = [
"alloy",
"echo",
"fable",
"onyx",
"nova",
"shimmer",
];
const TTS_FORMAT: string[] = ["mp3", "opus", "aac", "flac"];
import { StateUpdater } from "preact/hooks";
import { ChatStore } from "./app";
const Help = (props: { children: any; help: string }) => {
return (
@@ -42,116 +17,16 @@ const Help = (props: { children: any; help: string }) => {
);
};
const SelectModel = (props: {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
help: string;
}) => {
let shouldIUseCustomModel: boolean = true;
for (const model in models) {
if (props.chatStore.model === model) {
shouldIUseCustomModel = false;
}
}
const [useCustomModel, setUseCustomModel] = useState(shouldIUseCustomModel);
return (
<Help help={props.help}>
<label className="m-2 p-2">Model</label>
<span
onClick={() => {
setUseCustomModel(!useCustomModel);
}}
className="m-2 p-2"
>
<label>{Tr("Custom")}</label>
<input className="" type="checkbox" checked={useCustomModel} />
</span>
{useCustomModel ? (
<input
className="m-2 p-2 border rounded focus w-32 md:w-fit"
value={props.chatStore.model}
onChange={(event: any) => {
const model = event.target.value as string;
props.chatStore.model = model;
props.setChatStore({ ...props.chatStore });
}}
/>
) : (
<select
className="m-2 p-2"
value={props.chatStore.model}
onChange={(event: any) => {
const model = event.target.value as string;
props.chatStore.model = model;
props.chatStore.maxTokens = getDefaultParams(
"max",
models[model].maxToken
);
props.setChatStore({ ...props.chatStore });
}}
>
{Object.keys(models).map((opt) => (
<option value={opt}>{opt}</option>
))}
</select>
)}
</Help>
);
};
const LongInput = (props: {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
field: "systemMessageContent" | "toolsString";
help: string;
}) => {
return (
<Help help={props.help}>
<textarea
className="m-2 p-2 border rounded focus w-full"
value={props.chatStore[props.field]}
onChange={(event: any) => {
props.chatStore[props.field] = event.target.value;
props.setChatStore({ ...props.chatStore });
autoHeight(event.target);
}}
onKeyPress={(event: any) => {
autoHeight(event.target);
}}
></textarea>
</Help>
);
};
const Input = (props: {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
field:
| "apiKey"
| "apiEndpoint"
| "whisper_api"
| "whisper_key"
| "tts_api"
| "tts_key"
| "image_gen_api"
| "image_gen_key";
field: "apiKey" | "systemMessageContent" | "apiEndpoint";
help: string;
}) => {
const [hideInput, setHideInput] = useState(true);
return (
<Help help={props.help}>
<label className="m-2 p-2">{props.field}</label>
<button
className="p-2"
onClick={() => {
setHideInput(!hideInput);
console.log("clicked", hideInput);
}}
>
{hideInput ? "👀" : "🙈"}
</button>
<input
type={hideInput ? "password" : "text"}
className="m-2 p-2 border rounded focus w-32 md:w-fit"
value={props.chatStore[props.field]}
onChange={(event: any) => {
@@ -162,117 +37,24 @@ const Input = (props: {
</Help>
);
};
const Slicer = (props: {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
field: "temperature" | "top_p" | "tts_speed";
help: string;
min: number;
max: number;
}) => {
const enable_filed_name: "temperature_enabled" | "top_p_enabled" =
`${props.field}_enabled` as any;
const enabled = props.chatStore[enable_filed_name];
if (enabled === null || enabled === undefined) {
if (props.field === "temperature") {
props.chatStore[enable_filed_name] = true;
}
if (props.field === "top_p") {
props.chatStore[enable_filed_name] = false;
}
}
const setEnabled = (state: boolean) => {
props.chatStore[enable_filed_name] = state;
props.setChatStore({ ...props.chatStore });
};
return (
<Help help={props.help}>
<span>
<label className="m-2 p-2">{props.field}</label>
<input
type="checkbox"
checked={props.chatStore[enable_filed_name]}
onClick={() => {
setEnabled(!enabled);
}}
/>
</span>
<input
disabled={!enabled}
className="m-2 p-2 border rounded focus w-16"
type="range"
min={props.min}
max={props.max}
step="0.01"
value={props.chatStore[props.field]}
onChange={(event: any) => {
const value = parseFloat(event.target.value);
props.chatStore[props.field] = value;
props.setChatStore({ ...props.chatStore });
}}
/>
<input
disabled={!enabled}
className="m-2 p-2 border rounded focus w-28"
type="number"
value={props.chatStore[props.field]}
onChange={(event: any) => {
const value = parseFloat(event.target.value);
props.chatStore[props.field] = value;
props.setChatStore({ ...props.chatStore });
}}
/>
</Help>
);
};
const Number = (props: {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
field:
| "totalTokens"
| "maxTokens"
| "maxGenTokens"
| "tokenMargin"
| "postBeginIndex"
| "presence_penalty"
| "frequency_penalty";
field: "totalTokens" | "maxTokens" | "tokenMargin" | "postBeginIndex";
readOnly: boolean;
help: string;
}) => {
return (
<Help help={props.help}>
<span>
<label className="m-2 p-2">{props.field}</label>
{props.field === "maxGenTokens" && (
<input
type="checkbox"
checked={props.chatStore.maxGenTokens_enabled}
onChange={() => {
const newChatStore = { ...props.chatStore };
newChatStore.maxGenTokens_enabled =
!newChatStore.maxGenTokens_enabled;
props.setChatStore({ ...newChatStore });
}}
/>
)}
</span>
<input
readOnly={props.readOnly}
disabled={
props.field === "maxGenTokens" &&
!props.chatStore.maxGenTokens_enabled
}
type="number"
className="m-2 p-2 border rounded focus w-28"
value={props.chatStore[props.field]}
onChange={(event: any) => {
console.log("type", typeof event.target.value);
let newNumber = parseFloat(event.target.value);
let newNumber = parseInt(event.target.value);
if (newNumber < 0) newNumber = 0;
props.chatStore[props.field] = newNumber;
props.setChatStore({ ...props.chatStore });
@@ -284,7 +66,7 @@ const Number = (props: {
const Choice = (props: {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
field: "streamMode" | "develop_mode" | "json_mode" | "logprobs";
field: "streamMode";
help: string;
}) => {
return (
@@ -306,22 +88,11 @@ const Choice = (props: {
export default (props: {
chatStore: ChatStore;
setChatStore: (cs: ChatStore) => void;
show: boolean;
setShow: StateUpdater<boolean>;
selectedChatStoreIndex: number;
templates: TemplateChatStore[];
setTemplates: (templates: TemplateChatStore[]) => void;
templateAPIs: TemplateAPI[];
setTemplateAPIs: (templateAPIs: TemplateAPI[]) => void;
templateAPIsWhisper: TemplateAPI[];
setTemplateAPIsWhisper: (templateAPIs: TemplateAPI[]) => void;
templateAPIsTTS: TemplateAPI[];
setTemplateAPIsTTS: (templateAPIs: TemplateAPI[]) => void;
templateAPIsImageGen: TemplateAPI[];
setTemplateAPIsImageGen: (templateAPIs: TemplateAPI[]) => void;
templateTools: TemplateTools[];
setTemplateTools: (templateTools: TemplateTools[]) => void;
}) => {
let link =
if (!props.show) return <div></div>;
const link =
location.protocol +
"//" +
location.host +
@@ -330,126 +101,18 @@ export default (props: {
props.chatStore.apiKey
)}&api=${encodeURIComponent(props.chatStore.apiEndpoint)}&mode=${
props.chatStore.streamMode ? "stream" : "fetch"
}&model=${props.chatStore.model}&sys=${encodeURIComponent(
props.chatStore.systemMessageContent
)}`;
if (props.chatStore.develop_mode) {
link = link + `&dev=true`;
}
const importFileRef = createRef();
const [totalCost, setTotalCost] = useState(getTotalCost());
// @ts-ignore
const { langCode, setLangCode } = useContext(langCodeContext);
useEffect(() => {
const handleKeyPress = (event: any) => {
if (event.keyCode === 27) {
// keyCode for ESC key is 27
props.setShow(false);
}
};
document.addEventListener("keydown", handleKeyPress);
return () => {
document.removeEventListener("keydown", handleKeyPress);
};
}, []); // The empty dependency array ensures that the effect runs only once
}&sys=${encodeURIComponent(props.chatStore.systemMessageContent)}`;
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-white rounded-lg h-fit lg:w-2/3 z-20"
>
<h3 className="text-xl text-center flex justify-between">
<span>{Tr("Settings")}</span>
<select>
{Object.keys(LANG_OPTIONS).map((opt) => (
<option
value={opt}
selected={opt === (langCodeContext as any).langCode}
onClick={(event: any) => {
console.log("set lang code", event.target.value);
setLangCode(event.target.value);
}}
>
{LANG_OPTIONS[opt].name}
</option>
))}
</select>
</h3>
<hr />
<div className="flex justify-between">
<button
className="p-2 m-2 rounded bg-purple-600 text-white"
onClick={() => {
navigator.clipboard.writeText(link);
alert(tr(`Copied link:`, langCode) + `${link}`);
}}
>
{Tr("Copy Setting Link")}
</button>
<button
className="p-2 m-2 rounded bg-rose-600 text-white"
onClick={() => {
if (!confirm(tr("Are you sure to clear all history?", langCode)))
return;
props.chatStore.history = props.chatStore.history.filter(
(msg) => msg.example && !msg.hide
);
props.chatStore.postBeginIndex = 0;
props.setChatStore({ ...props.chatStore });
}}
>
{Tr("Clear History")}
</button>
<button
className="p-2 m-2 rounded bg-cyan-600 text-white"
onClick={() => {
props.setShow(false);
}}
>
{Tr("Close")}
</button>
</div>
<p className="m-2 p-2">
{Tr("Total cost in this session")} ${props.chatStore.cost.toFixed(4)}
</p>
<div className="left-0 top-0 overflow-scroll flex justify-center absolute w-screen h-screen bg-black bg-opacity-50 z-10">
<div className="m-2 p-2 bg-white rounded-lg h-fit">
<h3 className="text-xl">Settings</h3>
<hr />
<div className="box">
<LongInput
<Input
field="systemMessageContent"
help="系统消息用于指示ChatGPT的角色和一些前置条件例如“你是一个有帮助的人工智能助理”或者“你是一个专业英语翻译把我的话全部翻译成英语”详情参考 OPEAN AI API 文档"
{...props}
/>
<span>
Valied JSON:{" "}
{isVailedJSON(props.chatStore.toolsString) ? "🆗" : "❌"}
</span>
<LongInput
field="toolsString"
help="function call tools, should be valied json format in list"
{...props}
/>
<div className="relative border-slate-300 border rounded">
<div className="flex justify-between">
<strong className="p-1 m-1">Chat API</strong>
<SetAPIsTemplate
label="Chat API"
endpoint={props.chatStore.apiEndpoint}
APIkey={props.chatStore.apiKey}
tmps={props.templateAPIs}
setTmps={props.setTemplateAPIs}
/>
</div>
<hr />
<Input
field="apiKey"
help="OPEN AI API 密钥,请勿泄漏此密钥"
@@ -460,38 +123,14 @@ export default (props: {
help="API 端点,方便在不支持的地区使用反向代理服务,默认为 https://api.openai.com/v1/chat/completions"
{...props}
/>
</div>
<SelectModel
help="模型,默认 3.5。不同模型性能和定价也不同,请参考 API 文档。"
{...props}
/>
<Slicer
field="temperature"
min={0}
max={2}
help="温度,数值越大模型生成文字的随机性越高。"
{...props}
/>
<Choice
field="streamMode"
help="流模式,使用 stream mode 将可以动态看到生成内容,但无法准确计算 token 数量,在 token 数量过多时可能会裁切过多或过少历史消息"
{...props}
/>
<Choice field="logprobs" help="返回每个Token的概率" {...props} />
<Choice
field="develop_mode"
help="开发者模式,开启后会显示更多选项及功能"
{...props}
/>
<Number
field="maxTokens"
help="最大上下文 token 数量。此值会根据选择的模型自动设置。"
readOnly={false}
{...props}
/>
<Number
field="maxGenTokens"
help="最大生成 Tokens 数量,可选值。"
help="最大 token 数量,这个详情参考 OPENAI API 文档"
readOnly={false}
{...props}
/>
@@ -501,11 +140,10 @@ export default (props: {
readOnly={false}
{...props}
/>
<Choice field="json_mode" help="JSON Mode" {...props} />
<Number
field="postBeginIndex"
help="指示发送 API 请求时要”忘记“多少历史消息"
readOnly={true}
readOnly={false}
{...props}
/>
<Number
@@ -514,291 +152,44 @@ export default (props: {
readOnly={true}
{...props}
/>
<Slicer
field="top_p"
min={0}
max={1}
help="Top P 采样方法。建议与温度采样方法二选一,不要同时开启。"
{...props}
/>
<Number
field="presence_penalty"
help="存在惩罚度"
readOnly={false}
{...props}
/>
<Number
field="frequency_penalty"
help="频率惩罚度"
readOnly={false}
{...props}
/>
<div className="relative border-slate-300 border rounded">
<div className="flex justify-between">
<strong className="p-1 m-1">Whisper API</strong>
<SetAPIsTemplate
label="Whisper API"
endpoint={props.chatStore.whisper_api}
APIkey={props.chatStore.whisper_key}
tmps={props.templateAPIsWhisper}
setTmps={props.setTemplateAPIsWhisper}
/>
</div>
<hr />
<Input
field="whisper_key"
help="用于 Whisper 服务的 key默认为 上方使用的OPENAI key可在此单独配置专用key"
{...props}
/>
<Input
field="whisper_api"
help="Whisper 语言转文字服务填入此api才会开启默认为 https://api.openai.com/v1/audio/transriptions"
{...props}
/>
</div>
<div className="relative border-slate-300 border rounded mt-1">
<div className="flex justify-between">
<strong className="p-1 m-1">TTS API</strong>
<SetAPIsTemplate
label="TTS API"
endpoint={props.chatStore.tts_api}
APIkey={props.chatStore.tts_key}
tmps={props.templateAPIsTTS}
setTmps={props.setTemplateAPIsTTS}
/>
</div>
<hr />
<Input field="tts_key" help="tts service api key" {...props} />
<Input
field="tts_api"
help="tts api, eg. https://api.openai.com/v1/audio/speech"
{...props}
/>
</div>
<Help help="tts voice style">
<label className="m-2 p-2">TTS Voice</label>
<select
className="m-2 p-2"
value={props.chatStore.tts_voice}
onChange={(event: any) => {
const voice = event.target.value as string;
props.chatStore.tts_voice = voice;
props.setChatStore({ ...props.chatStore });
}}
>
{TTS_VOICES.map((opt) => (
<option value={opt}>{opt}</option>
))}
</select>
</Help>
<Slicer
min={0.25}
max={4.0}
field="tts_speed"
help={"TTS Speed"}
{...props}
/>
<Help help="tts response format">
<label className="m-2 p-2">TTS Format</label>
<select
className="m-2 p-2"
value={props.chatStore.tts_format}
onChange={(event: any) => {
const format = event.target.value as string;
props.chatStore.tts_format = format;
props.setChatStore({ ...props.chatStore });
}}
>
{TTS_FORMAT.map((opt) => (
<option value={opt}>{opt}</option>
))}
</select>
</Help>
<div className="relative border-slate-300 border rounded">
<div className="flex justify-between">
<strong className="p-1 m-1">Image Gen API</strong>
<SetAPIsTemplate
label="Image Gen API"
endpoint={props.chatStore.image_gen_api}
APIkey={props.chatStore.image_gen_key}
tmps={props.templateAPIsImageGen}
setTmps={props.setTemplateAPIsImageGen}
/>
</div>
<hr />
<Input
field="image_gen_key"
help="image generation service api key"
{...props}
/>
<Input
field="image_gen_api"
help="DALL image gen key, eg. https://api.openai.com/v1/images/generations"
{...props}
/>
</div>
<div className="flex justify-between">
<p className="m-2 p-2">
{Tr("Accumulated cost in all sessions")} ${totalCost.toFixed(4)}
</p>
<button
className="p-2 m-2 rounded bg-emerald-500"
className="p-2 m-2 rounded bg-purple-600 text-white"
onClick={() => {
clearTotalCost();
setTotalCost(getTotalCost());
navigator.clipboard.writeText(link);
alert(`Copied link: ${link}`);
}}
>
{Tr("Reset")}
</button>
</div>
<div className="flex justify-evenly flex-wrap">
{props.chatStore.toolsString.trim() && (
<button
className="p-2 m-2 rounded bg-blue-300"
onClick={() => {
const name = prompt(`Give this **Tools** template a name:`);
if (!name) {
alert("No template name specified");
return;
}
const newToolsTmp: TemplateTools = {
name,
toolsString: props.chatStore.toolsString,
};
props.templateTools.push(newToolsTmp);
props.setTemplateTools([...props.templateTools]);
}}
>
{Tr(`Save Tools`)}
</button>
)}
</div>
<p className="flex justify-evenly">
<button
className="p-2 m-2 rounded bg-amber-500"
onClick={() => {
let dataStr =
"data:text/json;charset=utf-8," +
encodeURIComponent(
JSON.stringify(props.chatStore, null, "\t")
);
let downloadAnchorNode = document.createElement("a");
downloadAnchorNode.setAttribute("href", dataStr);
downloadAnchorNode.setAttribute(
"download",
`chatgpt-api-web-${props.selectedChatStoreIndex}.json`
);
document.body.appendChild(downloadAnchorNode); // required for firefox
downloadAnchorNode.click();
downloadAnchorNode.remove();
}}
>
{Tr("Export")}
Copy Link
</button>
<button
className="p-2 m-2 rounded bg-amber-500"
onClick={() => {
const name = prompt(tr("Give this template a name:", langCode));
if (!name) {
alert(tr("No template name specified", langCode));
return;
}
const tmp: ChatStore = structuredClone(props.chatStore);
tmp.history = tmp.history.filter((h) => h.example);
// clear api because it is stored in the API template
tmp.apiEndpoint = "";
tmp.apiKey = "";
tmp.whisper_api = "";
tmp.whisper_key = "";
tmp.tts_api = "";
tmp.tts_key = "";
tmp.image_gen_api = "";
tmp.image_gen_key = "";
// @ts-ignore
tmp.name = name;
props.templates.push(tmp as TemplateChatStore);
props.setTemplates([...props.templates]);
}}
>
{Tr("As template")}
</button>
<button
className="p-2 m-2 rounded bg-amber-500"
className="p-2 m-2 rounded bg-rose-600 text-white"
onClick={() => {
if (
!confirm(
tr(
"This will OVERWRITE the current chat history! Continue?",
langCode
)
`Are you sure to clear all ${props.chatStore.history.length} messages?`
)
)
return;
console.log("importFileRef", importFileRef);
importFileRef.current.click();
props.chatStore.history = [];
props.chatStore.postBeginIndex = 0;
props.chatStore.totalTokens = 0;
props.setChatStore({ ...props.chatStore });
}}
>
Import
Clear History
</button>
<input
className="hidden"
ref={importFileRef}
type="file"
onChange={() => {
const file = importFileRef.current.files[0];
console.log("file to import", file);
if (!file || file.type !== "application/json") {
alert(tr("Please select a json file", langCode));
return;
}
const reader = new FileReader();
reader.onload = () => {
console.log("import content", reader.result);
if (!reader) {
alert(tr("Empty file", langCode));
return;
}
try {
const newChatStore: ChatStore = JSON.parse(
reader.result as string
);
if (!newChatStore.chatgpt_api_web_version) {
throw tr(
"This is not an exported chatgpt-api-web chatstore file. The key 'chatgpt_api_web_version' is missing!",
langCode
);
}
props.setChatStore({ ...newChatStore });
} catch (e) {
alert(
tr(`Import error on parsing json:`, langCode) + `${e}`
);
}
};
reader.readAsText(file);
<button
className="p-2 m-2 rounded bg-cyan-600 text-white"
onClick={() => {
props.setShow(false);
}}
/>
</p>
<p className="text-center m-2 p-2">
chatgpt-api-web ChatStore {Tr("Version")}{" "}
{props.chatStore.chatgpt_api_web_version}
</p>
<p>
{Tr("Documents and source code are avaliable here")}:{" "}
<a
className="underline"
href="https://github.com/heimoshuiyu/chatgpt-api-web"
target="_blank"
>
github.com/heimoshuiyu/chatgpt-api-web
</a>
</p>
Close
</button>
</div>
<hr />
</div>
</div>
);

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 "./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;

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@@ -1,84 +0,0 @@
import { useMemo, useState } from "preact/hooks";
import { ChatStore, ChatStoreMessage, addTotalCost } from "./app";
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 ? "🤔" : "🔈"}
</button>
);
}

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