app.py

import gradio as gr
import subprocess
import os

def train_model():
    """Start training the CELESTIAL model"""
    try:
        result = subprocess.run(["python", "train_celestial.py"], 
                              capture_output=True, text=True, timeout=3600)
        return f"Training Output:\n{result.stdout}\n\nErrors:\n{result.stderr}"
    except Exception as e:
        return f"Training failed: {e}"

def test_model(prompt):
    """Test the trained model"""
    # This would load and test the trained model
    return f"Testing with prompt: {prompt}\n\nThis is a placeholder response."

# Create Gradio interface
with gr.Blocks(title="CELESTIAL Mistral 7B v0.3 Training") as demo:
    gr.Markdown("# 🌟 CELESTIAL Spiritual AI Training")
    gr.Markdown("Train and test Mistral 7B v0.3 for comprehensive spiritual guidance")
    
    with gr.Tab("Training"):
        train_btn = gr.Button("🚀 Start Training", variant="primary")
        train_output = gr.Textbox(label="Training Output", lines=20)
        train_btn.click(train_model, outputs=train_output)
    
    with gr.Tab("Testing"):
        test_input = gr.Textbox(label="Test Prompt", 
                               placeholder="What is the significance of Om mantra?")
        test_btn = gr.Button("🧪 Test Model")
        test_output = gr.Textbox(label="Model Response", lines=10)
        test_btn.click(test_model, inputs=test_input, outputs=test_output)

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