Delete speech_api.py

speech_api.py

@@ -1,71 +0,0 @@
-from fastapi import APIRouter, File, UploadFile, HTTPException
-from fastapi.responses import StreamingResponse
-from pydantic import BaseModel
-from ai4b import BhashiniClient
-from fast_langdetect import detect
-import io
-import base64
-import os
-
-router = APIRouter()
-
-ULCA_USER_ID = os.getenv("ULCA_USER_ID")
-ULCA_API_KEY = os.getenv("ULCA_API_KEY")
-
-client = BhashiniClient(user_id=ULCA_USER_ID, api_key=ULCA_API_KEY)
-
-class TTSRequest(BaseModel):
-    text: str
-    voice: str = "female"
-
-SUPPORTED_LANGUAGES = {'pa', 'mr', 'bn', 'en', 'as', 'or', 'ta', 'te', 'kn', 'gu', 'hi', 'ml'}
-
-def detect_language(text):
-    text = text.replace("\n", " ")
-    try:
-        result = detect(text, low_memory=False)
-        detected_lang = result['lang']
-        if detected_lang in SUPPORTED_LANGUAGES:
-            return detected_lang
-    except:
-        pass
-
-    if any('\u0980' <= char <= '\u09FF' for char in text):
-        return 'brx'
-    elif any('\uABC0' <= char <= '\uABFF' for char in text):
-        return 'mni'
-    
-    return 'en'
-
-@router.post("/tts")
-async def text_to_speech(request: TTSRequest):
-    try:
-        detected_language = detect_language(request.text)
-        
-        tts_result = client.tts(
-            request.text,
-            source_language=detected_language,
-            gender=request.voice
-        )
-        
-        audio_base64 = tts_result['pipelineResponse'][0]['audio'][0]['audioContent']
-        audio_data = base64.b64decode(audio_base64)
-        
-        return StreamingResponse(io.BytesIO(audio_data), media_type="audio/wav")
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e))
-
-@router.post("/asr")
-async def speech_to_text(file: UploadFile = File(...), source_language: str = "en"):
-    try:
-        audio_content = await file.read()
-        asr_result = client.asr(audio_content, source_language=source_language)
-        
-        # Extract the transcribed text from the complex JSON structure
-        transcribed_text = asr_result['pipelineResponse'][0]['output'][0]['source']
-        
-        return {"text": transcribed_text}
-    except KeyError:
-        raise HTTPException(status_code=500, detail=f"Unexpected response structure from ASR service out:{asr_result}")
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e))