from fastapi import FastAPI, File, UploadFile, Form
from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
import torch
import os
from pipeline import build_audiosep, separate_audio

app = FastAPI()

# Create a directory to save processed audio files if it doesn't exist
if not os.path.exists('processed'):
    os.makedirs('processed')

# Mount the static files directory
app.mount("/processed", StaticFiles(directory="processed"), name="processed")

def process_audio(audio_file_path, text):
    device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')

    model = build_audiosep(
        config_yaml='config/audiosep_base.yaml',
        checkpoint_path='checkpoint/audiosep_base_4M_steps.ckpt',
        device=device)

    output_file = os.path.join('processed', 'SeparatedAudio.wav')
    separate_audio(model, audio_file_path, text, output_file, device)
    return output_file

@app.post("/upload")
async def upload_file(file: UploadFile = File(...), text: str = Form(...)):
    contents = await file.read()
    # Save the audio file
    input_file_path = os.path.join('uploaded', file.filename)
    with open(input_file_path, "wb") as f:
        f.write(contents)
    
    # Process the audio file
    processed_audio_file_path = process_audio(input_file_path, text)

    # Response with processed audio file URL
    return JSONResponse(status_code=200, content={"message": "Audio file received and processed.", "processed_audio_file": f"/processed/{os.path.basename(processed_audio_file_path)}"})