app.py

import gradio as gr
import os

# Simple chat function - replace with actual AI model integration
def chat(message, history):
    """
    Chat function that processes user messages.
    Replace this with actual AI model calls (e.g., Gemini, OpenAI, HuggingFace models).
    """
    # Check if user wants to generate an image
    image_keywords = ["generate", "create", "draw", "make", "show me"]
    is_image_request = any(keyword in message.lower() for keyword in image_keywords) and \
                       any(word in message.lower() for word in ["image", "picture", "photo", "art", "drawing"])
    
    if is_image_request:
        # Placeholder for image generation
        # In production, integrate with DALL-E, Stable Diffusion, etc.
        response = f"🎨 I would generate an image for: '{message}'\n\n"
        response += "To enable image generation, integrate with:\n"
        response += "- OpenAI DALL-E API\n"
        response += "- Stable Diffusion (HuggingFace)\n"
        response += "- Google Imagen\n\n"
        response += "Add your API keys in Space secrets and update this function."
    else:
        # Placeholder for text chat
        # In production, integrate with Gemini, GPT-4, Llama, etc.
        response = f"You said: {message}\n\n"
        response += "This is a placeholder response. To enable AI chat, integrate with:\n"
        response += "- Google Gemini API\n"
        response += "- OpenAI GPT-4 API\n"
        response += "- HuggingFace models (Llama, Mistral, etc.)\n\n"
        response += "Add your API keys in Space secrets and update the chat function."
    
    return response

# Create Gradio Chat Interface
demo = gr.ChatInterface(
    fn=chat,
    title="🤖 AI Chat Assistant",
    description="Chat with AI - Ask questions or request image generation!",
    examples=[
        "Hello! How are you?",
        "Generate an image of a red sports car",
        "What is machine learning?",
        "Create a picture of a sunset over mountains"
    ]
)

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