from fastapi import FastAPI, UploadFile, File, HTTPException
from pydantic import BaseModel
import subprocess
import os
app = FastAPI()
class TranscriptionRequest(BaseModel):
model_name: str = "whisper-large-v3"
audio_file: bytes
@app.post("/transcribe/")
async def transcribe_audio(data: TranscriptionRequest):
try:
audio_path = "audio_file.wav"
with open(audio_path, "wb") as audio:
audio.write(data.audio_file)
subprocess.run(["echo", "Transcription complete"])
return {"message": "Transcription successful."}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error processing audio: {str(e)}")
@app.post("/summarize/")
async def summarize_text(data: dict):
try:
summary = "This is a summary of the transcription."
return {"summary": summary}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error summarizing text: {str(e)}")
@app.post("/extract-timestamps/")
async def extract_timestamps(data: dict):
try:
timestamps = [{"start": "0:00", "end": "0:10"}, {"start": "1:30", "end": "1:45"}]
return {"timestamps": timestamps}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error extracting timestamps: {str(e)}")
transcription_path = "transcription.txt"
summary_path = "summary.txt"
timestamps_path = "timestamps.json"
with open(transcription_path, "w") as f:
f.write("Transcription content")
with open(summary_path, "w") as f:
f.write("Summary content")
with open(timestamps_path, "w") as f:
f.write('{"timestamps": [{"start": "0:00", "end": "0:10"}, {"start": "1:30", "end": "1:45"}]}')
