app.py

import os
import tempfile
import shutil
from pathlib import Path
from fastapi import FastAPI, File, UploadFile
from fastapi.responses import HTMLResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from fastapi.middleware.cors import CORSMiddleware
from faster_whisper import WhisperModel

app = FastAPI()

# CORS
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["*"],
    allow_headers=["*"],
)

# Static files
app.mount("/static", StaticFiles(directory="static"), name="static")

print("Loading faster-whisper-tiny...")
model = WhisperModel(
    "tiny",
    device="cpu",
    compute_type="int8"
)
print("Model ready")

@app.get("/", response_class=HTMLResponse)
async def root():
    with open("index.html", "r", encoding="utf-8") as f:
        return f.read()

@app.post("/transcribe")
async def transcribe_audio(file: UploadFile = File(...)):
    tmp_path = None
    try:
        # Save uploaded file
        suffix = Path(file.filename).suffix
        with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp:
            shutil.copyfileobj(file.file, tmp)
            tmp_path = tmp.name
        
        # Transcribe with faster-whisper
        segments, info = model.transcribe(tmp_path, language="ru", beam_size=5)
        
        # Collect all text
        text = " ".join([segment.text for segment in segments])
        
        return JSONResponse({"text": text.strip(), "status": "ok"})
    
    except Exception as e:
        print(f"Error: {str(e)}")
        return JSONResponse(
            {"text": f"Error: {str(e)}", "status": "error"},
            status_code=500
        )
    finally:
        # Clean up
        if tmp_path and Path(tmp_path).exists():
            Path(tmp_path).unlink()
        await file.close()