forked from open-webui/open-webui
108 lines
2.7 KiB
Python
108 lines
2.7 KiB
Python
import os
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import logging
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from fastapi import (
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FastAPI,
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Request,
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Depends,
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HTTPException,
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status,
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UploadFile,
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File,
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Form,
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)
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from fastapi.middleware.cors import CORSMiddleware
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from faster_whisper import WhisperModel
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from constants import ERROR_MESSAGES
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from utils.utils import (
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decode_token,
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get_current_user,
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get_verified_user,
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get_admin_user,
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)
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from utils.misc import calculate_sha256
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from config import (
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SRC_LOG_LEVELS,
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CACHE_DIR,
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UPLOAD_DIR,
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WHISPER_MODEL,
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WHISPER_MODEL_DIR,
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WHISPER_MODEL_AUTO_UPDATE,
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DEVICE_TYPE,
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)
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["AUDIO"])
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# setting device type for whisper model
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whisper_device_type = DEVICE_TYPE if DEVICE_TYPE and DEVICE_TYPE == "cuda" else "cpu"
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log.info(f"whisper_device_type: {whisper_device_type}")
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@app.post("/transcribe")
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def transcribe(
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file: UploadFile = File(...),
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user=Depends(get_current_user),
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):
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log.info(f"file.content_type: {file.content_type}")
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if file.content_type not in ["audio/mpeg", "audio/wav"]:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=ERROR_MESSAGES.FILE_NOT_SUPPORTED,
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)
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try:
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filename = file.filename
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file_path = f"{UPLOAD_DIR}/{filename}"
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contents = file.file.read()
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with open(file_path, "wb") as f:
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f.write(contents)
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f.close()
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whisper_kwargs = {
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"model_size_or_path": WHISPER_MODEL,
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"device": whisper_device_type,
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"compute_type": "int8",
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"download_root": WHISPER_MODEL_DIR,
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"local_files_only": not WHISPER_MODEL_AUTO_UPDATE,
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}
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log.debug(f"whisper_kwargs: {whisper_kwargs}")
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try:
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model = WhisperModel(**whisper_kwargs)
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except:
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log.warning(
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"WhisperModel initialization failed, attempting download with local_files_only=False"
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)
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whisper_kwargs["local_files_only"] = False
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model = WhisperModel(**whisper_kwargs)
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segments, info = model.transcribe(file_path, beam_size=5)
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log.info(
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"Detected language '%s' with probability %f"
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% (info.language, info.language_probability)
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)
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transcript = "".join([segment.text for segment in list(segments)])
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return {"text": transcript.strip()}
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except Exception as e:
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log.exception(e)
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=ERROR_MESSAGES.DEFAULT(e),
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)
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