app.py

# 2) The actual app
import os
from getpass import getpass
from openai import OpenAI
import gradio as gr
import requests
import json
from datetime import datetime

# ——— Configure your OpenRouter key ———
OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY")
BSEARCH_API = os.getenv("BSEARCH_API")

# Check if the API key was retrieved
if not OPENROUTER_API_KEY:
    print("Error: OPENROUTER_API_KEY not found in environment.")
    print("Please set your API key in the environment as 'OPENROUTER_API_KEY'.")
else:
    client = OpenAI(
        base_url="https://openrouter.ai/api/v1",
        api_key=OPENROUTER_API_KEY,
    )

# Brave Search function
def brave_search(query):
    """Perform a web search using Brave Search API."""
    if not BSEARCH_API:
        return "Error: BSEARCH_API not found in environment. Please set your Brave Search API key."
    
    try:
        headers = {
            "Accept": "application/json",
            "X-Subscription-Token": BSEARCH_API
        }
        
        # Brave Search API endpoint
        url = "https://api.search.brave.com/res/v1/web/search"
        params = {
            "q": query,
            "count": 5  # Number of results to return
        }
        
        response = requests.get(url, headers=headers, params=params)
        response.raise_for_status()
        
        data = response.json()
        
        # Format the search results
        results = []
        if "web" in data and "results" in data["web"]:
            for idx, result in enumerate(data["web"]["results"][:5], 1):
                title = result.get("title", "No title")
                url = result.get("url", "")
                description = result.get("description", "No description")
                results.append(f"{idx}. **{title}**\n   URL: {url}\n   {description}\n")
        
        if results:
            return "🔍 **Web Search Results:**\n\n" + "\n".join(results)
        else:
            return "No search results found."
            
    except Exception as e:
        return f"Search error: {str(e)}"

def openrouter_chat(user_message, history, use_web_search):
    """Send user_message and history to mistralai/devstral-small:free and append to history."""
    history = history or []
    
    # If web search is enabled, perform search first
    search_context = ""
    if use_web_search and user_message.strip():
        search_results = brave_search(user_message)
        search_context = f"\n\n{search_results}\n\nBased on the above search results, please answer the following question:\n"
        # Add search results to history as a system message
        history.append(("🔍 Web Search Query", user_message))
        history.append(("🌐 Search Results", search_results))
    
    # Build the messages list from the history and the current user message
    messages_for_api = []
    
    # Add system message if web search was used
    if search_context:
        messages_for_api.append({
            "role": "system", 
            "content": "You are a helpful assistant. When web search results are provided, incorporate them into your response to give accurate and up-to-date information."
        })
    
    for human_message, ai_message in history[:-2] if use_web_search else history:  # Exclude search entries from API messages
        if not human_message.startswith("🔍") and not human_message.startswith("🌐"):
            messages_for_api.append({"role": "user", "content": human_message})
            if ai_message is not None:
                messages_for_api.append({"role": "assistant", "content": ai_message})
    
    # Add the current user message with search context if applicable
    current_message = search_context + user_message if search_context else user_message
    messages_for_api.append({"role": "user", "content": current_message})
    
    try:
        # Call the model with the mistralai/Devstral-Small-2505 for full conversation history
        resp = client.chat.completions.create(
            model="mistralai/devstral-small:free",
            messages=messages_for_api,
            # you can tweak max_tokens, temperature, etc. here
        )
        bot_reply = resp.choices[0].message.content
        # Append the user message and bot reply to the history for Gradio display
        history.append((user_message, bot_reply))
    except Exception as e:
        # Handle potential errors and append an error message to the history
        history.append((user_message, f"Error: {e}"))
    
    return history, ""

# Enhanced CSS with gradient background and visual improvements
custom_css = """
/* Gradient background */
.gradio-container {
    background: linear-gradient(135deg, #667eea 0%, #764ba2 25%, #f093fb 50%, #4facfe 75%, #00f2fe 100%);
    min-height: 100vh;
    padding: 20px;
}

/* Main container styling */
.container {
    max-width: 1200px;
    margin: 0 auto;
}

/* Chat container with glassmorphism effect */
#component-0 {
    background: rgba(255, 255, 255, 0.1);
    backdrop-filter: blur(10px);
    border-radius: 20px;
    border: 1px solid rgba(255, 255, 255, 0.2);
    box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.37);
    padding: 20px;
}

/* Chatbot styling */
.chatbot {
    background: rgba(255, 255, 255, 0.9) !important;
    border-radius: 15px !important;
    border: none !important;
    box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1) !important;
}

/* Message bubbles */
.message {
    border-radius: 10px !important;
    padding: 12px 16px !important;
    margin: 8px 0 !important;
}

.user {
    background-color: #667eea !important;
    color: white !important;
    margin-left: 20% !important;
}

.bot {
    background-color: #f0f0f0 !important;
    color: #333 !important;
    margin-right: 20% !important;
}

/* Input styling */
.textbox {
    border-radius: 10px !important;
    border: 2px solid #667eea !important;
    background: rgba(255, 255, 255, 0.95) !important;
    font-size: 16px !important;
}

.textbox:focus {
    border-color: #764ba2 !important;
    box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.2) !important;
}

/* Checkbox styling */
.checkbox-group {
    background: rgba(255, 255, 255, 0.8) !important;
    border-radius: 10px !important;
    padding: 10px !important;
    margin: 10px 0 !important;
}

/* Button styling */
button {
    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
    color: white !important;
    border: none !important;
    border-radius: 10px !important;
    padding: 10px 20px !important;
    font-weight: bold !important;
    transition: all 0.3s ease !important;
}

button:hover {
    transform: translateY(-2px) !important;
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.3) !important;
}

/* Title styling */
h1, h2 {
    color: white !important;
    text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3) !important;
}

/* Markdown styling */
.markdown-text {
    color: white !important;
    text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.3) !important;
}

/* Web search results styling */
.message:has(.search-results) {
    background: linear-gradient(135deg, #ffecd2 0%, #fcb69f 100%) !important;
    border-left: 4px solid #ff6b6b !important;
}

/* Responsive design */
@media (max-width: 768px) {
    .user {
        margin-left: 10% !important;
    }
    .bot {
        margin-right: 10% !important;
    }
}
"""

with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
    gr.Markdown(
        """
        <div style="text-align: center; padding: 20px;">
            <h1 style="font-size: 3em; margin-bottom: 10px;">🦜🔗 AI Chat Assistant</h1>
            <h2 style="font-size: 1.5em; opacity: 0.9;">Powered by Devstral-Small with Brave Search Integration</h2>
        </div>
        """,
        elem_id="header"
    )
    
    with gr.Row():
        with gr.Column(scale=4):
            chatbot = gr.Chatbot(
                label="💬 Chat History",
                height=500,
                elem_classes=["chatbot"],
                bubble_full_width=False
            )
            
            with gr.Row():
                msg_in = gr.Textbox(
                    placeholder="Type your question here… (Press Enter to send)",
                    label="✍️ Your Message",
                    scale=4,
                    lines=2
                )
            
            with gr.Row():
                use_web_search = gr.Checkbox(
                    label="🔍 Enable Web Search",
                    value=True,
                    info="Search the web for current information before answering"
                )
                clear_btn = gr.Button("🗑️ Clear Chat", size="sm")
        
        with gr.Column(scale=1):
            gr.Markdown(
                """
                ### 📋 Features
                - 💬 Real-time chat with AI
                - 🔍 Web search integration
                - 📜 Conversation history
                - 🎨 Beautiful gradient UI
                
                ### 🔧 Tips
                - Enable web search for current events
                - Ask follow-up questions
                - Clear chat to start fresh
                
                ### ⚡ Shortcuts
                - Enter: Send message
                - Shift+Enter: New line
                """,
                elem_classes=["markdown-text"]
            )
    
    # Event handlers
    msg_in.submit(
        openrouter_chat, 
        inputs=[msg_in, chatbot, use_web_search], 
        outputs=[chatbot, msg_in]
    )
    
    clear_btn.click(lambda: ([], ""), outputs=[chatbot, msg_in])
    
    # Add example queries
    gr.Examples(
        examples=[
            ["What's the latest news about AI?", True],
            ["Explain quantum computing in simple terms", False],
            ["What's the weather like today?", True],
            ["Write a Python function to sort a list", False],
            ["What are the current stock market trends?", True]
        ],
        inputs=[msg_in, use_web_search],
        label="💡 Example Queries"
    )

demo.launch()