1.开原地址:https://github.com/openai/whisper
https://github.com/guillaumekln/faster-whisper
2.使用场景:语音转文字
3.api封装:
import os
import uvicorn
from fastapi import FastAPI, UploadFile, File
from whisper import load_model
app = FastAPI()
model = load_model("large")
def transcribe_audio(audio_file):
if not audio_file.filename.endswith((".wav", ".mp3")):
raise ValueError("Invalid audio file. Supported formats: .wav, .mp3")
file_path = os.path.join("D:/save", audio_file.filename)
with open(file_path, "wb") as f:
f.write(audio_file.file.read())
result = model.transcribe(file_path)
return result["text"]
@app.post("/transcribe")
async def transcribe(upload: UploadFile = File(...)):
try:
transcription = transcribe_audio(upload)
return {"transcription": transcription}
except Exception as e:
return {"error": str(e)}
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=11120)
标签：__,transcribe,whisper,模型,file,import,文本,audio From： https://www.cnblogs.com/AmbitiousMice/p/17508339.html