Delete app.py

app.py

@@ -1,254 +0,0 @@
-"""
-SuperCoder - Hugging Face Spaces Frontend
-Connects to your local API server via tunnel
-"""
-import gradio as gr
-import requests
-from typing import List, Tuple
-
-# ============================================================================
-# Configuration - EDIT THIS WITH YOUR TUNNEL URL
-# ============================================================================
-API_URL = "https://inge-chalcographic-helene.ngrok-free.dev"
-
-# Example URLs:
-# ngrok: https://abc123.ngrok-free.app
-# cloudflare: https://abc123.trycloudflare.com
-
-
-# ============================================================================
-# API Client Functions
-# ============================================================================
-def call_api(message: str, temperature: float = 0.1, max_tokens: int = 512) -> str:
-    """
-    Call the SuperCoder API running on your local machine.
-    """
-    try:
-        response = requests.post(
-            f"{API_URL}/api/chat",
-            json={
-                "messages": [{"role": "user", "content": message}],
-                "temperature": temperature,
-                "max_tokens": max_tokens,
-                "stream": False
-            },
-            timeout=60
-        )
-
-        if response.status_code == 200:
-            result = response.json()
-            return result.get("response", "No response from API")
-        else:
-            return f"❌ API Error ({response.status_code}): {response.text}"
-
-    except requests.exceptions.Timeout:
-        return "⏱️ Request timed out. The model might be processing a complex request."
-
-    except requests.exceptions.ConnectionError:
-        return "🔌 Connection failed. Please ensure your local API server is running."
-
-    except Exception as e:
-        return f"⚠️ Error: {str(e)}"
-
-
-def check_api_status() -> str:
-    """Check if the API is reachable."""
-    try:
-        response = requests.get(f"{API_URL}/health", timeout=5)
-        if response.status_code == 200:
-            data = response.json()
-            if data.get("model_loaded"):
-                return "✅ Connected - Model Ready"
-            else:
-                return "⚠️ Connected but model not loaded"
-        else:
-            return f"❌ API returned status {response.status_code}"
-    except:
-        return "🔴 Not connected to API"
-
-
-# ============================================================================
-# Gradio Interface
-# ============================================================================
-def chat_interface(message: str, history: List[Tuple[str, str]],
-                  temperature: float, max_tokens: int) -> Tuple[List[Tuple[str, str]], str]:
-    """Handle chat interaction."""
-    if not message.strip():
-        return history, ""
-
-    # Add user message to history
-    history = history + [(message, None)]
-
-    # Get AI response
-    response = call_api(message, temperature, max_tokens)
-
-    # Update history with response
-    history[-1] = (message, response)
-
-    return history, ""
-
-
-# ============================================================================
-# Quick Action Templates
-# ============================================================================
-QUICK_ACTIONS = {
-    "Explain Code": "Explain the following code:\n\n```python\n# PASTE YOUR CODE HERE\n```",
-    "Debug Code": "Help me debug this code:\n\n```python\n# PASTE YOUR CODE HERE\n```",
-    "Write Function": "Write a Python function that:",
-    "Optimize Code": "Optimize this code for better performance:\n\n```python\n# PASTE YOUR CODE HERE\n```",
-    "Add Comments": "Add detailed comments to this code:\n\n```python\n# PASTE YOUR CODE HERE\n```",
-}
-
-def use_template(template_name: str) -> str:
-    """Return the selected template."""
-    return QUICK_ACTIONS.get(template_name, "")
-
-
-# ============================================================================
-# Build Gradio UI
-# ============================================================================
-with gr.Blocks(
-    title="SuperCoder Pro",
-    theme=gr.themes.Soft(primary_hue="indigo"),
-    css="""
-    .container { max-width: 1200px; margin: auto; }
-    .status-box { padding: 10px; border-radius: 5px; margin: 10px 0; }
-    .status-connected { background-color: #d4edda; }
-    .status-disconnected { background-color: #f8d7da; }
-    """
-) as demo:
-
-    # Header
-    gr.Markdown("""
-    # 🤖 SuperCoder Pro
-    ### AI-Powered Coding Assistant
-
-    Your personal AI coding assistant powered by local hardware. Ask me to write,
-    explain, debug, or optimize code!
-
-    ---
-    """)
-
-    # API Status
-    with gr.Row():
-        status_text = gr.Textbox(
-            value=check_api_status(),
-            label="🔌 API Status",
-            interactive=False,
-            show_label=True
-        )
-        refresh_btn = gr.Button("🔄 Refresh Status", size="sm")
-
-    refresh_btn.click(
-        fn=check_api_status,
-        outputs=status_text
-    )
-
-    # Main Interface
-    with gr.Row():
-        # Left Column: Chat
-        with gr.Column(scale=3):
-            chatbot = gr.Chatbot(
-                label="💬 Conversation",
-                height=500,
-                show_copy_button=True,
-                avatar_images=(None, "🤖")
-            )
-
-            with gr.Row():
-                msg_input = gr.Textbox(
-                    placeholder="Ask me to write, explain, debug, or review code...",
-                    show_label=False,
-                    scale=5,
-                    lines=2
-                )
-                send_btn = gr.Button("Send 🚀", scale=1, variant="primary")
-
-        # Right Column: Settings & Actions
-        with gr.Column(scale=1):
-            gr.Markdown("### ⚙️ Settings")
-
-            temperature = gr.Slider(
-                0.0, 1.0,
-                value=0.1,
-                step=0.05,
-                label="🌡️ Temperature",
-                info="Lower = precise, Higher = creative"
-            )
-
-            max_tokens = gr.Slider(
-                128, 2048,
-                value=512,
-                step=128,
-                label="📏 Max Tokens",
-                info="Response length limit"
-            )
-
-            gr.Markdown("### 🎯 Quick Actions")
-
-            template_dropdown = gr.Dropdown(
-                choices=list(QUICK_ACTIONS.keys()),
-                label="Select Template",
-                value=None
-            )
-
-            use_template_btn = gr.Button("Use Template", size="sm")
-
-            clear_btn = gr.Button("🗑️ Clear Chat", variant="stop", size="sm")
-
-    # Event Handlers
-    msg_input.submit(
-        fn=chat_interface,
-        inputs=[msg_input, chatbot, temperature, max_tokens],
-        outputs=[chatbot, msg_input]
-    )
-
-    send_btn.click(
-        fn=chat_interface,
-        inputs=[msg_input, chatbot, temperature, max_tokens],
-        outputs=[chatbot, msg_input]
-    )
-
-    use_template_btn.click(
-        fn=use_template,
-        inputs=[template_dropdown],
-        outputs=[msg_input]
-    )
-
-    clear_btn.click(
-        fn=lambda: ([], ""),
-        outputs=[chatbot, msg_input]
-    )
-
-    # Footer
-    gr.Markdown("""
-    ---
-
-    ### 💡 Tips
-    - **Be specific** in your requests for better results
-    - **Paste code** directly in your messages
-    - Use **templates** for common tasks
-    - Adjust **temperature** for more creative or precise outputs
-
-    ### ⚠️ Important
-    This Space connects to a **locally-running** AI model via tunnel.
-    If you see connection errors, the local server may be offline.
-
-    ### 🔒 Privacy
-    - All processing happens on the owner's local machine
-    - No data is stored by Hugging Face
-    - Each chat session is independent
-
-    ---
-
-    **Built with ❤️ using llama.cpp and Gradio**
-    """)
-
-
-# Launch the app
-if __name__ == "__main__":
-    demo.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        show_error=True
-    )