disable zh-hans to zh-cn convertion

whisper_fastapi.py

@@ -22,7 +22,6 @@ from fastapi.middleware.cors import CORSMiddleware
 from src.whisper_ctranslate2.whisper_ctranslate2 import Transcribe
 from src.whisper_ctranslate2.writers import format_timestamp
 from faster_whisper.transcribe import Segment, TranscriptionInfo
-import opencc
 from prometheus_fastapi_instrumentator import Instrumentator
 
 parser = argparse.ArgumentParser()
@@ -35,7 +34,6 @@ args = parser.parse_args()
 app = FastAPI()
 # Instrument your app with default metrics and expose the metrics
 Instrumentator().instrument(app).expose(app, endpoint="/konele/metrics")
-ccc = opencc.OpenCC("t2s.json")
 
 print("Loading model...")
 transcriber = Transcribe(
@@ -102,12 +100,15 @@ def vtt_writer(generator: Generator[dict[str, Any], Any, None]):
 
 
 def build_json_result(
-    generator: Generator[dict[str, Any], Any, None]
+    generator: Iterable[Segment],
+    info:  TranscriptionInfo,
 ) -> dict[str, Any]:
     segments = [i for i in generator]
     return {
         "text": "\n".join(i["text"] for i in segments),
         "segments": segments,
+        "language": info.language,
+        "language_probability": info.language_probability,
     }
 
 
@@ -137,7 +138,6 @@ def stream_builder(
                 last_pos = end
                 data = segment._asdict()
                 data["total"] = info.duration
-                data["text"] = ccc.convert(data["text"])
                 yield data
     
     return wrap(), info
@@ -199,14 +199,14 @@ async def konele_ws(
 
     file_obj.seek(0)
 
-    generator = stream_builder(
+    generator, info = stream_builder(
         audio=file_obj,
         task=task,
         vad_filter=vad_filter,
         language=None if lang == "und" else lang,
         initial_prompt=initial_prompt,
     )
-    result = build_json_result(generator)
+    result = build_json_result(generator, info)
 
     text = result.get("text", "")
     print("result", text)
@@ -263,14 +263,14 @@ async def translateapi(
 
     file_obj.seek(0)
 
-    generator = stream_builder(
+    generator, info = stream_builder(
         audio=file_obj,
         task=task,
         vad_filter=vad_filter,
         language=None if lang == "und" else lang,
         initial_prompt=initial_prompt,
     )
-    result = build_json_result(generator)
+    result = build_json_result(generator, info)
 
     text = result.get("text", "")
     print("result", text)
@@ -311,7 +311,7 @@ async def transcription(
             media_type="text/event-stream",
         )
     elif response_format == "json":
-        return build_json_result(generator)
+        return build_json_result(generator, info)
     elif response_format == "text":
         return StreamingResponse(text_writer(generator), media_type="text/plain")
     elif response_format == "tsv":