app.py

import gradio as gr
import os
from agent import GenerativeAIAgent


# Initialize the agent
agent = GenerativeAIAgent()


def chat_with_agent(user_input, history):
    """Chat function that maintains conversation history"""
    if not user_input.strip():
        return history, history
    
    response = agent.generate_response(user_input)
    history.append((user_input, response))
    return history, history

# Create fancy Gradio interface with custom theme
with gr.Blocks(
    theme=gr.themes.Soft(
        primary_hue="blue",
        secondary_hue="indigo",
        neutral_hue="slate",
    ),
    css="""
        .gradio-container {
            font-family: 'Inter', sans-serif;
        }
        .chat-container {
            border-radius: 15px;
            box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
        }
        footer {
            display: none !important;
        }
    """
) as demo:
    gr.Markdown(
        """
        # 🤖 AI Assistant with Tool Integration
        
        **Powered by GPT-5** • Ask anything and I'll use Wikipedia or web search to find accurate answers!
        
        ---
        """,
        elem_classes="header"
    )

    with gr.Row():
        with gr.Column(scale=1):
            gr.Markdown(
                """
                ### 🛠️ Available Tools
                
                - 📚 **Wikipedia**: For factual information
                - 🌐 **Tavily Search**: For latest news & web content
                
                ### 💡 Try asking:
                - "What's the latest news about AI?"
                - "Tell me about quantum computing"
                - "Recent developments in climate change"
                """,
                elem_classes="sidebar"
            )
        
        with gr.Column(scale=3):
            chatbot = gr.Chatbot(
                label="Conversation",
                height=500,
                bubble_full_width=False,
                avatar_images=(None, "assistant_avatar.png"),
                elem_classes="chat-container"
            )
            
            with gr.Row():
                user_input = gr.Textbox(
                    label="Your Message",
                    placeholder="Type your question here... 💬",
                    lines=2,
                    scale=4
                )
                submit_btn = gr.Button("Send 🚀", variant="primary", scale=1)
            
            with gr.Row():
                clear_btn = gr.Button("Clear Chat 🗑️", variant="secondary")
            
            # Store conversation history
            state = gr.State([])
            
            # Event handlers
            submit_btn.click(
                fn=chat_with_agent,
                inputs=[user_input, state],
                outputs=[chatbot, state]
            ).then(
                lambda: "",
                outputs=[user_input]
            )
            
            user_input.submit(
                fn=chat_with_agent,
                inputs=[user_input, state],
                outputs=[chatbot, state]
            ).then(
                lambda: "",
                outputs=[user_input]
            )
            
            clear_btn.click(
                lambda: ([], []),
                outputs=[chatbot, state]
            )

    gr.Markdown(
        """
        ---
        
        🔒 **Privacy**: Your conversations are not stored • ⚡ **Fast**: Powered by OpenAI's latest models
        """,
        elem_classes="footer"
    )

# Launch the app
demo.launch(share=False)