app.py

#!/usr/bin/env python3
"""
Agent2Robot - MINIMAL WORKING VERSION
Based on successful Step 4 but with simple return function
"""

import os
import ssl

# Multiple SSL fixes for Windows/conda environments
try:
    # Try to fix SSL certificate path
    import certifi
    os.environ['SSL_CERT_FILE'] = certifi.where()
    os.environ['REQUESTS_CA_BUNDLE'] = certifi.where()
except ImportError:
    print("⚠️ Warning: certifi not available, using alternative SSL fix")

# Disable SSL verification if needed (for development only)
ssl._create_default_https_context = ssl._create_unverified_context

# Alternative approach: Set empty SSL_CERT_FILE if the current one is problematic
if 'SSL_CERT_FILE' in os.environ:
    try:
        with open(os.environ['SSL_CERT_FILE'], 'r') as f:
            pass  # Test if file is readable
    except:
        # If the current SSL_CERT_FILE is problematic, try to unset it
        del os.environ['SSL_CERT_FILE']
        try:
            import certifi
            os.environ['SSL_CERT_FILE'] = certifi.where()
        except:
            pass

import gradio as gr

def simple_test_function(vehicle_type, user_description):
    """Simple test function that returns results like Step 4 worked"""
    if not user_description:
        user_description = "No description provided"
    
    # Simple return (like Step 4 but with return instead of yield)
    text_output = f"✅ COMPLETED!\nVehicle: {vehicle_type}\nDescription: {user_description}\nTest successful!"
    json_output = {
        "vehicle_type": vehicle_type,
        "description": user_description,
        "test_status": "success",
        "parameters": {
            "speed": 5.2,
            "weight": 1.8,
            "dimensions": [10, 8, 6]
        }
    }
    progress_value = 100
    image_output = None
    file_output = None
    
    return text_output, json_output, progress_value, image_output, file_output

def create_minimal_working_app():
    """MINIMAL working app based on successful Step 4"""
    
    # Exact same CSS as Step 4 (worked)
    custom_css = """
    .main-header {
        text-align: center;
        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
        color: white;
        padding: 30px;
        border-radius: 15px;
        margin-bottom: 20px;
        box-shadow: 0 8px 16px rgba(0,0,0,0.1);
    }
    """
    
    with gr.Blocks(
        title="🤖🚁 Agent2Robot - MINIMAL WORKING",
        theme=gr.themes.Soft(),
        css=custom_css
    ) as demo:
        
        # Exact same header as Step 4 (worked)
        gr.HTML("""
        <div class="main-header">
            <h1>🤖🚁 Agent2Robot</h1>
            <h2>MINIMAL WORKING VERSION</h2>
            <p><strong>Based on successful Step 4 components</strong></p>
        </div>
        """)
        
        # Exact same layout as Step 4 (worked)
        gr.Markdown("## 🔧 MINIMAL WORKING TEST")
        
        with gr.Row():
            with gr.Column(scale=1):
                gr.Markdown("## 🎯 1. Define Your Vehicle Challenge")
                
                # Exact same components as Step 4 (worked)
                vehicle_type_input = gr.Radio(
                    choices=["Robot", "Drone"], 
                    label="1. Choose Vehicle Type",
                    value="Robot",
                    info="Select whether you want a ground robot or flying drone"
                )
                
                user_description_input = gr.Textbox(
                    lines=5, 
                    label="2. Describe Vehicle's Task & Success Criteria",
                    placeholder="e.g., 'Design a robot that can cross the 5cm box obstacle quickly and without tipping over, then stop safely.'",
                    value="Design a robot that can cross the 5cm high obstacle smoothly and come to a controlled stop."
                )
                
                start_button = gr.Button(
                    "🚀 Start AI Design Process", 
                    variant="primary",
                    size="lg"
                )
                
                gr.Markdown("""
                ### 📋 Status
                - **Version**: Minimal working (Step 4 base)
                - **Function**: Simple return (no yield)
                - **Goal**: Isolate the problematic component
                """)
            
            with gr.Column(scale=2):
                gr.Markdown("## 🤖 2. Test Outputs")
                
                # Exact same output components as Step 4 (worked)
                output_textbox = gr.Textbox(
                    label="📝 Text Output",
                    lines=5,
                    value="",
                    interactive=False
                )
                
                with gr.Row():
                    current_design_specs_output = gr.JSON(
                        label="⚙️ JSON Output Test",
                        value={}
                    )
                    
                    progress_bar_output = gr.Slider(
                        minimum=0, 
                        maximum=100,
                        step=1,
                        label="Progress (%)",
                        interactive=False,
                        show_label=True,
                        value=0
                    )
                
                simulation_video_output = gr.Image(
                    label="🎬 Image Output Test",
                    interactive=False,
                    height=200,
                    value=None
                )
                
                download_json_output = gr.File(
                    label="📄 File Output Test",
                    file_count="single",
                    type="filepath",
                    interactive=True,
                    value=None
                )
        
        # Simple button connection (5 outputs like Step 4)
        start_button.click(
            fn=simple_test_function, 
            inputs=[vehicle_type_input, user_description_input], 
            outputs=[
                output_textbox, 
                current_design_specs_output, 
                progress_bar_output,
                simulation_video_output,
                download_json_output
            ]
        )
        
        gr.Markdown("---")
        gr.Markdown("**Status**: If this works, we can add components one by one to find the problematic one.")
    
    return demo

if __name__ == "__main__":
    print("🔧 Agent2Robot - MINIMAL WORKING VERSION")
    print("=" * 50)
    print("🚀 Testing minimal working components...")
    
    try:
        app = create_minimal_working_app()
        print("✅ App created successfully")
        print("🌐 Launching with share=True (since localhost not accessible)...")
        
        app.launch(
            server_name="0.0.0.0",
            server_port=7860,
            share=True,  # Fixed: Set to True since localhost is not accessible
            show_error=True,
            inbrowser=False,  # Changed to False to avoid browser issues
            quiet=False,
            debug=True  # Added debug mode for better error reporting
        )
    except Exception as e:
        print(f"❌ Error launching app: {e}")
        print("Even minimal version has issues!")
        
        # Additional debugging information
        import traceback
        print("\n🔍 Full error traceback:")
        traceback.print_exc()
        
        # Try alternative launch with minimal options
        print("\n🔄 Trying alternative launch configuration...")
        try:
            app.launch(share=True, debug=True)
        except Exception as e2:
            print(f"❌ Alternative launch also failed: {e2}")
            print("Please check Gradio installation and dependencies.")