Spaces:
Running
Running
| import os | |
| import gradio as gr | |
| from groq import Groq | |
| import json | |
| from datetime import datetime | |
| import time | |
| class RealTimeFactChecker: | |
| def __init__(self): | |
| self.client = None | |
| self.model_options = ["compound-beta", "compound-beta-mini"] | |
| def initialize_client(self, api_key): | |
| """Initialize Groq client with API key""" | |
| try: | |
| self.client = Groq(api_key=api_key) | |
| return True, "✅ API Key validated successfully!" | |
| except Exception as e: | |
| return False, f"❌ Error initializing client: {str(e)}" | |
| def get_system_prompt(self): | |
| """Get the system prompt for consistent behavior""" | |
| return """You are a Real-time Fact Checker and News Agent. Your primary role is to provide accurate, up-to-date information by leveraging web search when needed. | |
| CORE RESPONSIBILITIES: | |
| 1. **Fact Verification**: Always verify claims with current, reliable sources | |
| 2. **Real-time Information**: Use web search for any information that changes frequently (news, stocks, weather, current events) | |
| 3. **Source Transparency**: When using web search, mention the sources or indicate that you've searched for current information | |
| 4. **Accuracy First**: If information is uncertain or conflicting, acknowledge this clearly | |
| RESPONSE GUIDELINES: | |
| - **Structure**: Start with a clear, direct answer, then provide supporting details | |
| - **Recency**: Always prioritize the most recent, reliable information | |
| - **Clarity**: Use clear, professional language while remaining accessible | |
| - **Completeness**: Provide comprehensive answers but stay focused on the query | |
| - **Source Awareness**: When you've searched for information, briefly indicate this (e.g., "Based on current reports..." or "Recent data shows...") | |
| WHEN TO SEARCH: | |
| - Breaking news or current events | |
| - Stock prices, market data, or financial information | |
| - Weather conditions or forecasts | |
| - Recent scientific discoveries or research | |
| - Current political developments | |
| - Real-time statistics or data | |
| - Verification of recent claims or rumors | |
| RESPONSE FORMAT: | |
| - Lead with key facts | |
| - Include relevant context | |
| - Mention timeframe when relevant (e.g., "as of today", "this week") | |
| - If multiple sources conflict, acknowledge this | |
| - End with a clear summary for complex topics | |
| Remember: Your goal is to be the most reliable, up-to-date source of information possible.""" | |
| def query_compound_model(self, query, model, temperature=0.7): | |
| """Query the compound model and return response with tool execution info""" | |
| if not self.client: | |
| return "❌ Please set a valid API key first.", None, None | |
| try: | |
| start_time = time.time() | |
| chat_completion = self.client.chat.completions.create( | |
| messages=[ | |
| { | |
| "role": "system", | |
| "content": self.get_system_prompt() | |
| }, | |
| { | |
| "role": "user", | |
| "content": query, | |
| } | |
| ], | |
| model=model, | |
| temperature=temperature, | |
| max_tokens=1000 | |
| ) | |
| end_time = time.time() | |
| response_time = round(end_time - start_time, 2) | |
| # Extract response | |
| response_content = chat_completion.choices[0].message.content | |
| # Check for executed tools | |
| executed_tools = getattr(chat_completion.choices[0].message, 'executed_tools', None) | |
| # Format tool execution info | |
| tool_info = self.format_tool_info(executed_tools) | |
| return response_content, tool_info, response_time | |
| except Exception as e: | |
| return f"❌ Error querying model: {str(e)}", None, None | |
| def format_tool_info(self, executed_tools): | |
| """Format executed tools information for display""" | |
| if not executed_tools: | |
| return "🔍 **Tools Used:** None (Used existing knowledge)" | |
| tool_info = "🔍 **Tools Used:**\n" | |
| for i, tool in enumerate(executed_tools, 1): | |
| tool_name = tool.get('name', 'Unknown') | |
| tool_info += f"{i}. **{tool_name}**\n" | |
| # Add tool parameters if available | |
| if 'parameters' in tool: | |
| params = tool['parameters'] | |
| if isinstance(params, dict): | |
| for key, value in params.items(): | |
| tool_info += f" - {key}: {value}\n" | |
| return tool_info | |
| def get_example_queries(self): | |
| """Return categorized example queries""" | |
| return { | |
| "📰 Latest News": [ | |
| "What are the top 3 news stories today?", | |
| "Latest developments in AI technology this week", | |
| "Recent political events in the United States", | |
| "Breaking news about climate change", | |
| "What happened in the stock market today?" | |
| ], | |
| "💰 Financial Data": [ | |
| "Current price of Bitcoin", | |
| "Tesla stock price today", | |
| "How is the S&P 500 performing today?", | |
| "Latest cryptocurrency market trends", | |
| "What's the current inflation rate?" | |
| ], | |
| "🌤️ Weather Updates": [ | |
| "Current weather in New York City", | |
| "Weather forecast for London this week", | |
| "Is it going to rain in San Francisco today?", | |
| "Temperature in Tokyo right now", | |
| "Weather conditions in Sydney" | |
| ], | |
| "🔬 Science & Technology": [ | |
| "Latest breakthroughs in fusion energy", | |
| "Recent discoveries in space exploration", | |
| "New developments in quantum computing", | |
| "Latest medical research findings", | |
| "Recent advances in renewable energy" | |
| ], | |
| "🏆 Sports & Entertainment": [ | |
| "Latest football match results", | |
| "Who won the recent tennis tournament?", | |
| "Box office numbers for this weekend", | |
| "Latest movie releases this month", | |
| "Recent celebrity news" | |
| ], | |
| "🔍 Fact Checking": [ | |
| "Is it true that the Earth's population reached 8 billion?", | |
| "Verify: Did company X announce layoffs recently?", | |
| "Check if the recent earthquake in Turkey was magnitude 7+", | |
| "Confirm the latest unemployment rate statistics", | |
| "Verify recent claims about electric vehicle sales" | |
| ] | |
| } | |
| def create_interface(): | |
| fact_checker = RealTimeFactChecker() | |
| def validate_api_key(api_key): | |
| if not api_key or api_key.strip() == "": | |
| return "❌ Please enter a valid API key", False | |
| success, message = fact_checker.initialize_client(api_key.strip()) | |
| return message, success | |
| def process_query(query, model, temperature, api_key, system_prompt): | |
| if not api_key or api_key.strip() == "": | |
| return "❌ Please set your API key first", "", "" | |
| if not query or query.strip() == "": | |
| return "❌ Please enter a query", "", "" | |
| # Initialize client if not already done | |
| if not fact_checker.client: | |
| success, message = fact_checker.initialize_client(api_key.strip()) | |
| if not success: | |
| return message, "", "" | |
| # Use custom system prompt if provided | |
| if system_prompt and system_prompt.strip(): | |
| original_prompt = fact_checker.get_system_prompt | |
| fact_checker.get_system_prompt = lambda: system_prompt.strip() | |
| response, tool_info, response_time = fact_checker.query_compound_model( | |
| query.strip(), model, temperature | |
| ) | |
| # Restore original system prompt function | |
| if system_prompt and system_prompt.strip(): | |
| fact_checker.get_system_prompt = original_prompt | |
| # Format response with timestamp | |
| timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") | |
| formatted_response = f"**Query:** {query}\n\n**Response:**\n{response}\n\n---\n*Generated at {timestamp} in {response_time}s*" | |
| return formatted_response, tool_info or "", f"⚡ Response time: {response_time}s" | |
| def reset_system_prompt(): | |
| return fact_checker.get_system_prompt() | |
| def load_example(example_text): | |
| return example_text | |
| # Create the Gradio interface | |
| with gr.Blocks(title="Real-time Fact Checker & News Agent", theme=gr.themes.Soft()) as demo: | |
| gr.Markdown(""" | |
| # 🔍 Real-time Fact Checker & News Agent | |
| **Powered by Groq's Compound Models with Built-in Web Search** | |
| This application provides real-time information by automatically searching the web when needed. | |
| Enter your query below and get up-to-the-minute facts, news, and data! | |
| """) | |
| with gr.Row(): | |
| with gr.Column(scale=2): | |
| # API Key section | |
| with gr.Group(): | |
| gr.Markdown("### 🔑 API Configuration") | |
| api_key_input = gr.Textbox( | |
| label="Groq API Key", | |
| placeholder="Enter your Groq API key here...", | |
| type="password", | |
| info="Get your free API key from https://console.groq.com/" | |
| ) | |
| api_status = gr.Textbox( | |
| label="Status", | |
| value="⚠️ Please enter your API key", | |
| interactive=False | |
| ) | |
| validate_btn = gr.Button("Validate API Key", variant="secondary") | |
| # Advanced options | |
| with gr.Group(): | |
| gr.Markdown("### ⚙️ Advanced Options") | |
| with gr.Accordion("System Prompt (Click to customize)", open=False): | |
| system_prompt_input = gr.Textbox( | |
| label="System Prompt", | |
| value=fact_checker.get_system_prompt(), | |
| lines=8, | |
| info="Customize how the AI behaves and responds" | |
| ) | |
| reset_prompt_btn = gr.Button("Reset to Default", variant="secondary", size="sm") | |
| # Query section | |
| with gr.Group(): | |
| gr.Markdown("### 💭 Your Query") | |
| query_input = gr.Textbox( | |
| label="Ask anything that requires real-time information", | |
| placeholder="e.g., What are the latest AI developments today?", | |
| lines=3 | |
| ) | |
| with gr.Row(): | |
| model_choice = gr.Dropdown( | |
| choices=fact_checker.model_options, | |
| value="compound-beta", | |
| label="Model", | |
| info="compound-beta: More capable | compound-beta-mini: Faster" | |
| ) | |
| temperature = gr.Slider( | |
| minimum=0.0, | |
| maximum=1.0, | |
| value=0.7, | |
| step=0.1, | |
| label="Temperature", | |
| info="Higher = more creative, Lower = more focused" | |
| ) | |
| submit_btn = gr.Button("🔍 Get Real-time Information", variant="primary", size="lg") | |
| clear_btn = gr.Button("Clear", variant="secondary") | |
| with gr.Column(scale=1): | |
| # Example queries | |
| with gr.Group(): | |
| gr.Markdown("### 📝 Example Queries") | |
| gr.Markdown("Click any example to load it:") | |
| examples = fact_checker.get_example_queries() | |
| for category, queries in examples.items(): | |
| gr.Markdown(f"**{category}**") | |
| for query in queries: | |
| example_btn = gr.Button(query, variant="secondary", size="sm") | |
| example_btn.click( | |
| fn=load_example, | |
| inputs=[gr.State(query)], | |
| outputs=[query_input] | |
| ) | |
| # Results section | |
| gr.Markdown("### 📊 Results") | |
| with gr.Row(): | |
| with gr.Column(scale=2): | |
| response_output = gr.Markdown( | |
| label="Response", | |
| value="*Your response will appear here...*" | |
| ) | |
| with gr.Column(scale=1): | |
| tool_info_output = gr.Markdown( | |
| label="Tool Execution Info", | |
| value="*Tool execution details will appear here...*" | |
| ) | |
| performance_output = gr.Textbox( | |
| label="Performance", | |
| value="", | |
| interactive=False | |
| ) | |
| # Event handlers | |
| validate_btn.click( | |
| fn=validate_api_key, | |
| inputs=[api_key_input], | |
| outputs=[api_status, gr.State()] | |
| ) | |
| reset_prompt_btn.click( | |
| fn=reset_system_prompt, | |
| outputs=[system_prompt_input] | |
| ) | |
| submit_btn.click( | |
| fn=process_query, | |
| inputs=[query_input, model_choice, temperature, api_key_input, system_prompt_input], | |
| outputs=[response_output, tool_info_output, performance_output] | |
| ) | |
| clear_btn.click( | |
| fn=lambda: ("", "*Your response will appear here...*", "*Tool execution details will appear here...*", ""), | |
| outputs=[query_input, response_output, tool_info_output, performance_output] | |
| ) | |
| # Footer | |
| gr.Markdown(""" | |
| --- | |
| ### 🔗 Useful Links | |
| - [Groq Console](https://console.groq.com/) - Get your free API key | |
| - [Groq Documentation](https://console.groq.com/docs/quickstart) - Learn more about Groq models | |
| - [Compound Models Info](https://console.groq.com/docs/models) - Details about compound models | |
| ### 💡 Tips | |
| - The compound models automatically use web search when real-time information is needed | |
| - Try different temperature settings: 0.1 for factual queries, 0.7-0.9 for creative questions | |
| - compound-beta is more capable but slower, compound-beta-mini is faster but less capable | |
| """) | |
| return demo | |
| # Launch the application | |
| if __name__ == "__main__": | |
| demo = create_interface() | |
| demo.launch( | |
| share=True | |
| ) |