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from fastapi import FastAPI, File, UploadFile, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
import speech_recognition as sr
from io import BytesIO
from pydub import AudioSegment
import os
app = FastAPI()
class TranscriptionResponse(BaseModel):
text: str
@app.post("/transcribe", response_model=TranscriptionResponse)
async def transcribe_audio(file: UploadFile = File(...)):
if file.content_type not in ["audio/wav", "audio/mpeg", "audio/mp3", "audio/x-wav", "audio/flac"]:
raise HTTPException(status_code=400, detail="Unsupported file type")
try:
# Read the file into bytes
audio_data = await file.read()
audio_file = BytesIO(audio_data)
# Use pydub to handle different audio formats
audio = AudioSegment.from_file(audio_file, format=file.filename.split('.')[-1])
wav_audio = BytesIO()
audio.export(wav_audio, format="wav")
wav_audio.seek(0)
# Use speech_recognition to process the audio
recognizer = sr.Recognizer()
with sr.AudioFile(wav_audio) as source:
audio = recognizer.record(source)
# Recognize speech using Google Web Speech API
text = recognizer.recognize_google(audio, language="en-US")
return TranscriptionResponse(text=text)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) |