from fastapi import ( FastAPI, Request, Depends, HTTPException, status, UploadFile, File, Form, ) from fastapi.middleware.cors import CORSMiddleware from faster_whisper import WhisperModel from constants import ERROR_MESSAGES from utils.utils import ( decode_token, get_current_user, get_verified_user, get_admin_user, ) from utils.misc import calculate_sha256 from config import CACHE_DIR, UPLOAD_DIR, WHISPER_MODEL_NAME app = FastAPI() app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) @app.post("/transcribe") def transcribe( file: UploadFile = File(...), user=Depends(get_current_user), ): print(file.content_type) if file.content_type not in ["audio/mpeg", "audio/wav"]: raise HTTPException( status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.FILE_NOT_SUPPORTED, ) try: filename = file.filename file_path = f"{UPLOAD_DIR}/{filename}" contents = file.file.read() with open(file_path, "wb") as f: f.write(contents) f.close() model_name = WHISPER_MODEL_NAME model = WhisperModel( model_name, device="cpu", compute_type="int8", download_root=f"{CACHE_DIR}/whisper/models", ) segments, info = model.transcribe(file_path, beam_size=5) print( "Detected language '%s' with probability %f" % (info.language, info.language_probability) ) transcript = "".join([segment.text for segment in list(segments)]) return {"text": transcript.strip()} except Exception as e: print(e) raise HTTPException( status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT(e), )