app.py

import base64
import requests
import tempfile
import streamlit as st
from openai import OpenAI

# Whisper transcription function
def transcribe_audio(file_path, api_key):
    with open(file_path, "rb") as f:
        response = requests.post(
            "https://api.openai.com/v1/audio/transcriptions",
            headers={"Authorization": f"Bearer {api_key}"},
            files={"file": f},
            data={"model": "whisper-1"}
        )
    return response.json().get("text", None)