app.py

import warnings
import sys

# Suppress asyncio warnings (Python 3.12/3.13 known issue with Gradio)
warnings.filterwarnings('ignore', message='.*Invalid file descriptor.*')
if sys.version_info >= (3, 12):
    import logging
    logging.getLogger('asyncio').setLevel(logging.CRITICAL)

import gradio as gr
from src.chimera_core import Chimera

# Initialize
try:
    chimera = Chimera()
except Exception as e:
    chimera = None
    print(f"Startup Error: {e}")

def chat_logic(message, image_file, history, mode):
    # Ensure history is a list
    if history is None:
        history = []
    
    # 1. Handle Empty Input
    if not message and not image_file:
        return history, "", None
    
    if not chimera:
        user_msg = message or "[Image uploaded]"
        history.append({"role": "user", "content": user_msg})
        history.append({"role": "assistant", "content": "❌ Error: API Keys missing."})
        return history, "", None
    
    # 2. Convert history to simple format for chimera
    simple_history = []
    for msg in history:
        if isinstance(msg, dict):
            simple_history.append([msg.get("content", "")])
        else:
            simple_history.append(msg)
    
    # 3. Process Request
    try:
        response_data, active_module = chimera.process_request(
            message or "", 
            simple_history, 
            mode, 
            image_file
        )
    except Exception as e:
        response_data = f"Processing Error: {str(e)}"
        active_module = "ERR"
    
    # 4. Handle response data (could be text or tuple with image)
    if isinstance(response_data, tuple):
        # Image generation response (text, image_path)
        response_text, image_path = response_data
        final_response = f"**[{active_module} Active]**\n\n{response_text}"
    else:
        # Regular text response
        response_text = response_data
        image_path = None
        final_response = f"**[{active_module} Active]**\n\n{response_text}"
    
    # 5. Create user message
    if image_file:
        user_msg = f"🖼️ [Image Uploaded]\n\n{message or 'Analyze this image'}"
    else:
        user_msg = message
    
    # 6. Append to History
    history.append({"role": "user", "content": user_msg})
    
    # If there's an image to display, include it in the response
    if image_path:
        history.append({
            "role": "assistant", 
            "content": {
                "text": final_response,
                "files": [image_path]
            }
        })
    else:
        history.append({"role": "assistant", "content": final_response})
    
    return history, "", None

# --- UI Layout ---
custom_css = """
body {
    background-color: #0b0f19;
    color: #c9d1d9;
}
.gradio-container {
    font-family: 'IBM Plex Mono', monospace;
}
#chatbot {
    border-radius: 10px;
}
"""

with gr.Blocks(title="⚡ AXON: GOD MODE") as demo:
    gr.Markdown("# ⚡ AXON: GOD MODE")
    gr.Markdown("*> Modules: VIM (Vision) | NET (Web) | IGM (Art) | ASM (Code)*")
    
    with gr.Row():
        chatbot = gr.Chatbot(
            height=500, 
            elem_id="chatbot"
        )
    
    with gr.Row():
        with gr.Column(scale=4):
            msg = gr.Textbox(
                placeholder="Ask anything, or upload an image...", 
                show_label=False,
                container=False
            )
            btn_upload = gr.Image(
                type="filepath", 
                label="📸 Upload for Vision (VIM)", 
                height=100
            )
        
        with gr.Column(scale=1):
            mode = gr.Dropdown(
                choices=["Auto", "ASM (Code)", "IGM (Generate Image)", "NET (Search)", "VIM (Vision)"],
                value="Auto",
                label="Mode",
                show_label=True
            )
            submit = gr.Button("🚀 EXECUTE", variant="primary", size="lg")
    
    # Event Handlers
    submit.click(
        chat_logic,
        inputs=[msg, btn_upload, chatbot, mode],
        outputs=[chatbot, msg, btn_upload]
    )
    msg.submit(
        chat_logic,
        inputs=[msg, btn_upload, chatbot, mode],
        outputs=[chatbot, msg, btn_upload]
    )

if __name__ == "__main__":
    demo.launch(ssr_mode=False, css=custom_css)