app.py

import os
import json
import time
import gradio as gr
from datetime import datetime
from typing import List, Dict, Any, Optional, Union
import threading

# Import Groq
from groq import Groq

class CreativeAgenticAI:
    """
    Creative Agentic AI Chat Tool using Groq's compound models
    """
    
    def __init__(self, api_key: str, model: str = "compound-beta"):
        """
        Initialize the Creative Agentic AI system.
        
        Args:
            api_key: Groq API key
            model: Which Groq model to use ('compound-beta' or 'compound-beta-mini')
        """
        self.api_key = api_key
        if not self.api_key:
            raise ValueError("No API key provided")
        
        self.client = Groq(api_key=self.api_key)
        self.model = model
        self.conversation_history = []
        
    def chat(self, message: str, 
             include_domains: List[str] = None,
             exclude_domains: List[str] = None,
             system_prompt: str = None,
             temperature: float = 0.7,
             max_tokens: int = 1024) -> Dict:
        """
        Send a message to the AI and get a response
        
        Args:
            message: User's message
            include_domains: List of domains to include for web search
            exclude_domains: List of domains to exclude from web search
            system_prompt: Custom system prompt
            temperature: Model temperature (0.0-2.0)
            max_tokens: Maximum tokens in response
            
        Returns:
            AI response with metadata
        """
        # Default system prompt if none provided
        if not system_prompt:
            system_prompt = """You are a creative and intelligent AI assistant with agentic capabilities. 
            You can search the web, analyze information, and provide comprehensive responses. 
            Be helpful, creative, and engaging while maintaining accuracy."""
        
        # Build messages
        messages = [{"role": "system", "content": system_prompt}]
        
        # Add conversation history (last 10 exchanges)
        messages.extend(self.conversation_history[-20:])  # Last 10 user-assistant pairs
        
        # Add current message
        messages.append({"role": "user", "content": message})
        
        # Set up API parameters
        params = {
            "messages": messages,
            "model": self.model,
            "temperature": temperature,
            "max_tokens": max_tokens
        }
        
        # Add domain filtering if specified
        if include_domains and include_domains[0].strip():
            params["include_domains"] = [domain.strip() for domain in include_domains if domain.strip()]
        if exclude_domains and exclude_domains[0].strip():
            params["exclude_domains"] = [domain.strip() for domain in exclude_domains if domain.strip()]
        
        try:
            # Make the API call
            response = self.client.chat.completions.create(**params)
            content = response.choices[0].message.content
            
            # Extract tool usage information
            tool_info = self._extract_tool_info(response)
            
            # Add to conversation history
            self.conversation_history.append({"role": "user", "content": message})
            self.conversation_history.append({"role": "assistant", "content": content})
            
            # Create response object
            response_data = {
                "content": content,
                "timestamp": datetime.now().isoformat(),
                "model": self.model,
                "tool_usage": tool_info,
                "parameters": {
                    "temperature": temperature,
                    "max_tokens": max_tokens,
                    "include_domains": include_domains,
                    "exclude_domains": exclude_domains
                }
            }
            
            return response_data
            
        except Exception as e:
            error_msg = f"Error: {str(e)}"
            self.conversation_history.append({"role": "user", "content": message})
            self.conversation_history.append({"role": "assistant", "content": error_msg})
            
            return {
                "content": error_msg,
                "timestamp": datetime.now().isoformat(),
                "model": self.model,
                "tool_usage": None,
                "error": str(e)
            }
    
    def _extract_tool_info(self, response) -> Dict:
        """Extract tool usage information in a JSON serializable format"""
        tool_info = None
        if hasattr(response.choices[0].message, 'executed_tools'):
            tools = response.choices[0].message.executed_tools
            if tools:
                tool_info = []
                for tool in tools:
                    tool_dict = {
                        "tool_type": getattr(tool, "type", "unknown"),
                        "tool_name": getattr(tool, "name", "unknown"),
                    }
                    if hasattr(tool, "input"):
                        tool_dict["input"] = str(tool.input)
                    if hasattr(tool, "output"):
                        tool_dict["output"] = str(tool.output)
                    tool_info.append(tool_dict)
        return tool_info
    
    def clear_history(self):
        """Clear conversation history"""
        self.conversation_history = []
    
    def get_history_summary(self) -> str:
        """Get a summary of conversation history"""
        if not self.conversation_history:
            return "No conversation history"
        
        user_messages = [msg for msg in self.conversation_history if msg["role"] == "user"]
        assistant_messages = [msg for msg in self.conversation_history if msg["role"] == "assistant"]
        
        return f"Conversation: {len(user_messages)} user messages, {len(assistant_messages)} assistant responses"

# Global variables
ai_instance = None
api_key_status = "Not Set"

def validate_api_key(api_key: str, model: str) -> str:
    """Validate Groq API key and initialize AI instance"""
    global ai_instance, api_key_status
    
    if not api_key or len(api_key.strip()) < 10:
        api_key_status = "Invalid ❌"
        return "❌ Please enter a valid API key (should be longer than 10 characters)"
    
    try:
        # Test the API key
        client = Groq(api_key=api_key)
        # Try a simple request to validate
        test_response = client.chat.completions.create(
            messages=[{"role": "user", "content": "Hello"}],
            model=model,
            max_tokens=10
        )
        
        # Create AI instance
        ai_instance = CreativeAgenticAI(api_key=api_key, model=model)
        api_key_status = "Valid ✅"
        
        return f"✅ API Key Valid! Creative Agentic AI is ready.\n\n**Model:** {model}\n**Status:** Connected and ready for chat!"
        
    except Exception as e:
        api_key_status = "Invalid ❌"
        ai_instance = None
        return f"❌ Error validating API key: {str(e)}\n\nPlease check your API key and try again."

def update_model(model: str) -> str:
    """Update the model selection"""
    global ai_instance
    
    if ai_instance:
        ai_instance.model = model
        return f"✅ Model updated to: **{model}**"
    else:
        return "⚠️ Please set your API key first"

def chat_with_ai(message: str, 
                include_domains: str, 
                exclude_domains: str,
                system_prompt: str,
                temperature: float,
                max_tokens: int,
                history: List) -> tuple:
    """Main chat function"""
    global ai_instance
    
    if not ai_instance:
        error_msg = "⚠️ Please set your Groq API key first!"
        history.append([message, error_msg])
        return history, ""
    
    if not message.strip():
        return history, ""
    
    # Process domain lists
    include_list = [d.strip() for d in include_domains.split(",")] if include_domains.strip() else []
    exclude_list = [d.strip() for d in exclude_domains.split(",")] if exclude_domains.strip() else []
    
    try:
        # Get AI response
        response = ai_instance.chat(
            message=message,
            include_domains=include_list if include_list else None,
            exclude_domains=exclude_list if exclude_list else None,
            system_prompt=system_prompt if system_prompt.strip() else None,
            temperature=temperature,
            max_tokens=int(max_tokens)
        )
        
        # Format response
        ai_response = response["content"]
        
        # Add tool usage info if available
        if response.get("tool_usage"):
            ai_response += f"\n\n*🔧 Tools used: {len(response['tool_usage'])} tool(s)*"
        
        # Add to history
        history.append([message, ai_response])
        
        return history, ""
        
    except Exception as e:
        error_msg = f"❌ Error: {str(e)}"
        history.append([message, error_msg])
        return history, ""

def clear_chat_history():
    """Clear the chat history"""
    global ai_instance
    if ai_instance:
        ai_instance.clear_history()
    return []

def create_gradio_app():
    """Create the main Gradio application"""
    
    # Custom CSS for better styling
    css = """
    .container {
        max-width: 1200px;
        margin: 0 auto;
    }
    .header {
        text-align: center;
        background: linear-gradient(to right, #00ff94, #00b4db);
        color: white;
        padding: 20px;
        border-radius: 10px;
        margin-bottom: 20px;
    }
    .status-box {
        background-color: #f8f9fa;
        border: 1px solid #dee2e6;
        border-radius: 8px;
        padding: 15px;
        margin: 10px 0;
    }
    .example-box {
        background-color: #e8f4fd;
        border-left: 4px solid #007bff;
        padding: 15px;
        margin: 10px 0;
        border-radius: 0 8px 8px 0;
    }
    .domain-info {
        background-color: #fff3cd;
        border: 1px solid #ffeaa7;
        border-radius: 8px;
        padding: 15px;
        margin: 10px 0;
    }
    #neuroscope-accordion {
        background: linear-gradient(to right, #00ff94, #00b4db); 
        border-radius: 8px;
    }
    """
    
    with gr.Blocks(css=css, title="🤖 Creative Agentic AI Chat", theme=gr.themes.Ocean()) as app:
        
        # Header
        gr.HTML("""
        <div class="header">
            <h1>🤖 NeuroScope-AI</h1>
            <p>Powered by Groq's Compound Models with Web Search & Agentic Capabilities</p>
        </div>
        """)

        # NeuroScope AI Section
        with gr.Group():
            with gr.Accordion("🤖 NeuroScope AI", open=False, elem_id="neuroscope-accordion"):
                gr.Markdown("""
                    - 🧠 Intelligence (Neuro)
                    - 🔍 Domain filtering (Scope)
                    - 🤖 AI capabilities (AI)
                    - ⚡ Precision (Scope implies focused, targeted results)
                """)
        with gr.Group():
            with gr.Accordion("📚 IMPORTANT !!!", open=False, elem_id="neuroscope-accordion"):
                gr.Markdown("""                
                ### 🔍 **Web Search Behavior in NeuroScope AI**
                
                **No Domains Specified:**
                
                  - AI operates with **unrestricted web search capabilities**.
                  - Compound models autonomously search the **entire internet** for the most relevant and up-to-date information.
                  - AI has complete freedom to use its **agentic tools** and browse **any website** it finds useful.
                
                **Include Domains Specified (e.g., `arxiv.org`, `*.edu`):**
                
                  - AI is restricted to search **only the specified domains**.
                  - Acts as a **strict whitelist**, making the AI **laser-focused** on your chosen sources.
                  - Ensures information is sourced from **preferred or authoritative domains** (e.g., academic or research-focused).
                
                **Exclude Domains Specified (e.g., `wikipedia.org`, `reddit.com`):**
                
                  - AI searches the entire web **except the listed domains**.
                  - Useful for **filtering out unreliable or unwanted sources**.
                  - Allows broad search with **targeted exclusions**.
                
                **Both Include and Exclude Domains Specified:**
                
                  - **Only the include domains** are used for searching.
                  - **Exclude list is ignored** because the include list already restricts search scope.
                  - Guarantees AI pulls content **exclusively from whitelisted domains**, regardless of the excluded ones.
                
                ---
                
                ### 🎭 **Custom System Prompt Feature**
                
                Allows complete override of the AI’s **default personality and behavior**.
                You can redefine the AI to act as:
                
                  - A **professional business consultant**
                  - A **coding mentor**
                  - A **creative writer**
                  - A **specific character or persona**
                - Provides full control to **reshape the AI’s tone, expertise, and conversational style** with a single prompt.

                """)
        
        # API Key Section
        with gr.Row():
            api_key = gr.Textbox(
                label="🔑 Groq API Key",
                placeholder="Enter your Groq API key here...",
                type="password",
                info="Get your API key from: https://console.groq.com/"
            )
            model_selection = gr.Radio(
                choices=["compound-beta", "compound-beta-mini"],
                label="🧠 Model Selection",
                value="compound-beta",
                info="compound-beta: More powerful | compound-beta-mini: Faster"
            )
            connect_btn = gr.Button("🔗 Connect", variant="primary", size="lg")
        
        # Status display
        status_display = gr.Markdown("### 📊 Status: Not connected", elem_classes=["status-box"])
        
        # Connect button functionality
        connect_btn.click(
            fn=validate_api_key,
            inputs=[api_key, model_selection],
            outputs=[status_display]
        )
        
        model_selection.change(
            fn=update_model,
            inputs=[model_selection],
            outputs=[status_display]
        )
        
        # Main Chat Interface
        with gr.Tab("💬 Chat"):
            chatbot = gr.Chatbot(
                label="Creative AI Assistant",
                height=500,
                show_label=True,
                bubble_full_width=False,
                show_copy_button=True
            )
            
            with gr.Row():
                msg = gr.Textbox(
                    label="Your Message",
                    placeholder="Type your message here...",
                    lines=3
                )
                with gr.Column():
                    send_btn = gr.Button("📤 Send", variant="primary")
                    clear_btn = gr.Button("🗑️ Clear", variant="secondary")
            
        # Advanced Settings
        with gr.Accordion("⚙️ Advanced Settings", open=False, elem_id="neuroscope-accordion"):
            with gr.Row():
                temperature = gr.Slider(
                    minimum=0.0,
                    maximum=2.0,
                    value=0.7,
                    step=0.1,
                    label="🌡️ Temperature",
                    info="Higher = more creative, Lower = more focused"
                )
                max_tokens = gr.Slider(
                    minimum=100,
                    maximum=4000,
                    value=1024,
                    step=100,
                    label="📝 Max Tokens",
                    info="Maximum length of response"
                )
                
            system_prompt = gr.Textbox(
                label="🎭 Custom System Prompt",
                placeholder="Override the default system prompt...",
                lines=2,
                info="Leave empty to use default creative assistant prompt"
            )    
        
        # Domain Filtering Section
        with gr.Accordion("🌐 Domain Filtering (for Web Search)", open=False, elem_id="neuroscope-accordion"):
            gr.Markdown("""
            <div class="domain-info">
            <h4>🔍 Domain Filtering Guide</h4>
            <p>Control which websites the AI can search when answering your questions:</p>
            <ul>
                <li><strong>Include Domains:</strong> Only search these domains (comma-separated)</li>
                <li><strong>Exclude Domains:</strong> Never search these domains (comma-separated)</li>
                <li><strong>Examples:</strong> arxiv.org, *.edu, github.com, stackoverflow.com</li>
                <li><strong>Wildcards:</strong> Use *.edu for all educational domains</li>
            </ul>
            </div>
            """)
            
            with gr.Row():
                include_domains = gr.Textbox(
                    label="✅ Include Domains (comma-separated)",
                    placeholder="arxiv.org, *.edu, github.com, stackoverflow.com",
                    info="Only search these domains"
                )
                exclude_domains = gr.Textbox(
                    label="❌ Exclude Domains (comma-separated)", 
                    placeholder="wikipedia.org, reddit.com, twitter.com",
                    info="Never search these domains"
                )
        with gr.Accordion("🔗 Common Domain Examples", open=False, elem_id="neuroscope-accordion"):
            gr.Markdown("""
            **Academic & Research:**
            - `arxiv.org`, `*.edu`, `scholar.google.com`, `researchgate.net`
            
            **Technology & Programming:**
            - `github.com`, `stackoverflow.com`, `docs.python.org`, `developer.mozilla.org`
            
            **News & Media:**
            - `reuters.com`, `bbc.com`, `npr.org`, `apnews.com`
            
            **Business & Finance:**
            - `bloomberg.com`, `wsj.com`, `nasdaq.com`, `sec.gov`
            
            **Science & Medicine:**
            - `nature.com`, `science.org`, `pubmed.ncbi.nlm.nih.gov`, `who.int`
            """)
        
        # How to Use Section
        with gr.Accordion("📖 How to Use This App", open=False, elem_id="neuroscope-accordion"):
            gr.Markdown("""
            ### 🚀 Getting Started
            1. **Enter your Groq API Key** - Get one from [console.groq.com](https://console.groq.com/)
            2. **Select a model** - Choose between compound-beta (powerful) or compound-beta-mini (fast)
            3. **Click Connect** - Validate your key and connect to the AI
            4. **Start chatting!** - Type your message and get intelligent responses
            
            ### 🎯 Key Features
            - **Agentic AI**: The AI can use tools and search the web autonomously
            - **Domain Filtering**: Control which websites the AI searches
            - **Creative Responses**: Optimized for engaging and helpful conversations
            - **Memory**: Maintains conversation context throughout the session
            - **Customizable**: Adjust temperature, tokens, and system prompts
            
            ### 💡 Tips for Best Results
            - Be specific in your questions for better responses
            - Use domain filtering for specialized research
            - Adjust temperature: higher for creativity, lower for precision
            - Try different system prompts for different conversation styles
            """)
        
        # Sample Examples Section
        with gr.Accordion("🎯 Sample Examples to Test", open=False, elem_id="neuroscope-accordion"):
            gr.Markdown("""
            <div class="example-box">
            <h4>🔬 Research & Analysis</h4>
            <ul>
                <li>"What are the latest breakthroughs in quantum computing?"</li>
                <li>"Compare different machine learning frameworks for beginners"</li>
                <li>"Analyze the current state of renewable energy technology"</li>
            </ul>
            
            <h4>💻 Programming & Tech</h4>
            <ul>
                <li>"Write a Python script to analyze CSV data and create visualizations"</li>
                <li>"Explain the differences between React and Vue.js with examples"</li>
                <li>"Help me debug this JavaScript code: [paste your code]"</li>
            </ul>
            
            <h4>🎨 Creative Tasks</h4>
            <ul>
                <li>"Write a short story about AI and humans working together"</li>
                <li>"Create a marketing plan for a sustainable fashion brand"</li>
                <li>"Generate ideas for a mobile app that helps with mental health"</li>
            </ul>
            
            <h4>📊 Business & Analysis</h4>
            <ul>
                <li>"What are the current trends in the cryptocurrency market?"</li>
                <li>"Analyze the pros and cons of remote work for startups"</li>
                <li>"Create a business plan outline for a food delivery service"</li>
            </ul>
            
            <h4>🌐 With Domain Filtering</h4>
            <ul>
                <li>Include "*.edu, arxiv.org": "Latest research on climate change solutions"</li>
                <li>Include "github.com, stackoverflow.com": "Best practices for API development"</li>
                <li>Exclude "wikipedia.org, reddit.com": "Professional analysis of market trends"</li>
            </ul>
            </div>
            """)
        
        # Event handlers
        send_btn.click(
            fn=chat_with_ai,
            inputs=[msg, include_domains, exclude_domains, system_prompt, temperature, max_tokens, chatbot],
            outputs=[chatbot, msg]
        )
        
        msg.submit(
            fn=chat_with_ai,
            inputs=[msg, include_domains, exclude_domains, system_prompt, temperature, max_tokens, chatbot],
            outputs=[chatbot, msg]
        )
        
        clear_btn.click(
            fn=clear_chat_history,
            outputs=[chatbot]
        )
        
        # Footer
        with gr.Accordion("🚀 About This Tool", open=True, elem_id="neuroscope-accordion"):
            gr.Markdown("""
            A Creative Agentic AI Chat Tool leverages Groq's powerful compound models to provide intelligent, 
            context-aware responses with web search capabilities. Perfect for research, programming help, 
            creative writing, and complex problem-solving.
            
            **Features:**
            - 🔍 Web search with domain filtering
            - 🧠 Advanced AI reasoning with tool usage
            - 💬 Conversational memory and context
            - ⚙️ Customizable parameters and prompts
            - 🎨 Creative and analytical capabilities
            """)
    
    return app

# Main execution
if __name__ == "__main__":
    app = create_gradio_app()
    app.launch(
        share=True
    )