app.py

import gradio as gr
import time

# Simple working DevContainer Studio
def start_container():
    time.sleep(1)
    return "Container started successfully!"

def stop_container():
    time.sleep(1)
    return "Container stopped successfully!"

def load_model(model_name):
    return f"Model {model_name} loaded successfully!"

def process_text(input_text):
    return f"Processed: {input_text}"

# Create simple interface
with gr.Blocks() as demo:
    gr.Markdown("# 🚀 DevContainer Studio - Live AI Development")
    
    with gr.Row():
        with gr.Column():
            gr.Markdown("## ⚙️ Container Controls")
            start_btn = gr.Button("🚀 Start Container")
            stop_btn = gr.Button("🛑 Stop Container")
            status = gr.Textbox("Status: Stopped", label="Container Status")
            
            gr.Markdown("## 🤖 AI Models")
            model_dropdown = gr.Dropdown(["distilgpt2", "gpt2", "distilbert"], label="Select Model")
            load_model_btn = gr.Button("Load Model")
            model_info = gr.Textbox("No model loaded", label="Model Info")
            
            gr.Markdown("## 🚀 Space Creation")
            space_name = gr.Textbox("my-awesome-space", label="Space Name")
            create_space_btn = gr.Button("Create Space")
            space_status = gr.Textbox("No space created", label="Space Status")
        
        with gr.Column():
            gr.Markdown("## 📊 Live Development")
            metrics = gr.Textbox("CPU: 25%, Memory: 512MB", label="Live Metrics")
            refresh_btn = gr.Button("🔄 Refresh")
            
            gr.Markdown("## 🤖 AI Inference")
            input_text = gr.Textbox("Enter your text here...", label="Input Text")
            inference_btn = gr.Button("🧠 Run Inference")
            result = gr.Textbox("No result yet", label="Result")

    # Connect events
    start_btn.click(fn=start_container, outputs=status)
    stop_btn.click(fn=stop_container, outputs=status)
    load_model_btn.click(fn=load_model, inputs=model_dropdown, outputs=model_info)
    create_space_btn.click(fn=lambda name: f"Space '{name}' created successfully!", inputs=space_name, outputs=space_status)
    inference_btn.click(fn=process_text, inputs=input_text, outputs=result)

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)