NeuroScope-AI / app.py
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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 βœ…"
return f"βœ… 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"βœ… 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*πŸ”§ 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="πŸ€– Creative Agentic AI Chat", theme=gr.themes.Ocean()) as app:
# Header
gr.HTML("""
<div class="header">
<h1>πŸ€– 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("πŸ€– NeuroScope AI", open=False, elem_id="neuroscope-accordion"):
gr.Markdown("""
- 🧠 Intelligence (Neuro)
- πŸ” Domain filtering (Scope)
- πŸ€– AI capabilities (AI)
- ⚑ Precision (Scope implies focused, targeted results)
""")
with gr.Group():
with gr.Accordion("πŸ“š IMPORTANT !!!", open=False, elem_id="neuroscope-accordion"):
gr.Markdown("""
### πŸ” **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="πŸ”‘ 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("πŸ”— Connect", variant="primary", size="lg")
# Status display
status_display = gr.Markdown("### πŸ“Š 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("πŸ’¬ 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("πŸ“€ Send", variant="primary")
clear_btn = gr.Button("πŸ—‘οΈ Clear", variant="secondary")
# Advanced Settings
with gr.Accordion("βš™οΈ 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="πŸ“ 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>πŸ” 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="βœ… 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("πŸ”— 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("πŸ“– How to Use This App", open=False, elem_id="neuroscope-accordion"):
gr.Markdown("""
### πŸš€ 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
### πŸ’‘ 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>πŸ”¬ 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>πŸ’» 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>πŸ“Š 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("πŸš€ 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:**
- πŸ” Web search with domain filtering
- 🧠 Advanced AI reasoning with tool usage
- πŸ’¬ Conversational memory and context
- βš™οΈ Customizable parameters and prompts
- 🎨 Creative and analytical capabilities
""")
return app
# Main execution
if __name__ == "__main__":
app = create_gradio_app()
app.launch(
share=True
)