app.py

import gradio as gr
import subprocess

def train_model():
    # Run the training script
    process = subprocess.Popen(
        ["python", "train_model.py"],
        stdout=subprocess.PIPE,
        stderr=subprocess.STDOUT,
        universal_newlines=True,
        bufsize=1
    )
    
    logs = ""
    for line in process.stdout:
        logs += line
        yield logs
    
    # Return final download link
    logs += "\n✅ Training complete! Download your model below."
    yield logs

with gr.Blocks() as demo:
    gr.Markdown("🧠 *Quiz Model Trainer*\nClick start to train and download your model.")
    train_button = gr.Button("🚀 Start Training")
    output = gr.Textbox(label="Training Log", lines=20)
    file_output = gr.File(label="Download Trained Model")

    def start_training():
        logs = ""
        for log in train_model():
            logs = log
            yield logs, None
        # Attach zip file after training
        yield logs, "trained_model.zip"

    train_button.click(start_training, outputs=[output, file_output])

demo.launch()