app.py

import whisper
import gradio as gr
import requests
import os

# Load the Magic Ear (Whisper)
model = whisper.load_model("base")

def transcribe_audio(audio_filepath):
    if audio_filepath is None:
        return "Please upload an audio file first!"
    
    # Transcribe
    result = model.transcribe(audio_filepath)
    return result["text"]

def summarize_text(text):
    # --- THIS IS THE FIX ---
    # We ask for the NAME of the secret, not the key itself
    api_key = os.getenv("GROQ_API_KEY") 
    # -----------------------

    if not api_key:
        return "Error: API Key is missing. Please set it in Settings!"

    url = "https://api.groq.com/openai/v1/chat/completions"
    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }
    data = {
        "model": "llama3-8b-8192", 
        "messages": [
            {"role": "system", "content": "You are a helpful assistant. Summarize this meeting transcript into 3-5 clear bullet points."},
            {"role": "user", "content": text}
        ]
    }
    
    try:
        response = requests.post(url, json=data, headers=headers)
        return response.json()['choices'][0]['message']['content']
    except Exception as e:
        return f"Error connecting to Storyteller: {str(e)}"

def process_meeting(audio):
    transcript = transcribe_audio(audio)
    summary = summarize_text(transcript)
    return transcript, summary

# Build the Interface
app = gr.Interface(
    fn=process_meeting,
    inputs=gr.Audio(type="filepath"),
    outputs=[
        gr.Textbox(label="Full Transcript"),
        gr.Textbox(label="Meeting Minutes")
    ],
    title="AI Meeting Assistant",
    description="Upload an audio file to generate a transcript and summary."
)

if __name__ == "__main__":
    app.launch()