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| import os | |
| import requests | |
| import gradio as gr | |
| # Set your API keys | |
| os.environ['XAI_API_KEY'] = 'xai-Gxw7oW4yR6Q6oTd0v9lDRLotXZQYJNz9YKlH7R6eMyTmqIV9h6uustEGZAaJEvGmewlwbUnM1jTX4chj' # Replace with your actual xAI API key | |
| os.environ['SPORTS_API_KEY'] = '21253d4ad8mshc858b5f3ba04919p1b5a03jsna381170f15fe' # Replace with your sports data API key | |
| # Initialize conversation history | |
| conversation_history = [] | |
| def fetch_sports_scores(sport): | |
| """Fetches real-time sports scores for the specified sport.""" | |
| url = f"https://api.sportsdata.io/v4/{sport}/scores" | |
| headers = { | |
| "User-Agent": "YourAppName", | |
| "Authorization": f"Bearer {os.environ['SPORTS_API_KEY']}" | |
| } | |
| response = requests.get(url, headers=headers) | |
| if response.status_code == 200: | |
| return response.json() # Return JSON data | |
| else: | |
| return f"Error fetching sports data: {response.text}" | |
| def browse_web_page(url): | |
| """Simulated function to browse a web page.""" | |
| return f"Browsing to {url}..." | |
| def chat_with_bot(user_input): | |
| # Append user input to conversation history | |
| conversation_history.append({"role": "user", "content": user_input}) | |
| url = "https://api.x.ai/v1/chat/completions" | |
| headers = { | |
| "Content-Type": "application/json", | |
| "Authorization": f"Bearer {os.environ['XAI_API_KEY']}" | |
| } | |
| messages = [{"role": "system", "content": "You are a helpful assistant."}] + \ | |
| [{"role": msg["role"], "content": msg["content"]} for msg in conversation_history] | |
| data = { | |
| "messages": messages, | |
| "model": "grok-beta", | |
| "functions": [ | |
| { | |
| "name": "fetch_sports_scores", | |
| "description": "Fetch real-time scores for a specific sport.", | |
| "parameters": { | |
| "type": "object", | |
| "properties": { | |
| "sport": { | |
| "type": "string", | |
| "description": "The sport you want scores for.", | |
| "example_value": "football", | |
| }, | |
| }, | |
| "required": ["sport"], | |
| }, | |
| }, | |
| { | |
| "name": "browse_web_page", | |
| "description": "Browse a web page.", | |
| "parameters": { | |
| "type": "object", | |
| "properties": { | |
| "url": { | |
| "type": "string", | |
| "description": "The URL of the web page to browse.", | |
| "example_value": "https://example.com", | |
| }, | |
| }, | |
| "required": ["url"], | |
| }, | |
| }, | |
| ], | |
| "stream": False, | |
| "temperature": 0.7 | |
| } | |
| response = requests.post(url, headers=headers, json=data) | |
| if response.status_code == 200: | |
| bot_response = response.json()['choices'][0]['message'] | |
| # Check if there's a function call request | |
| if 'function_call' in bot_response: | |
| function_name = bot_response['function_call']['name'] | |
| args = bot_response['function_call']['arguments'] | |
| if function_name == 'fetch_sports_scores': | |
| sport = args.get('sport') | |
| result = fetch_sports_scores(sport) | |
| bot_response_content = str(result) | |
| elif function_name == 'browse_web_page': | |
| url = args.get('url') | |
| bot_response_content = browse_web_page(url) | |
| else: | |
| bot_response_content = bot_response['content'] | |
| else: | |
| bot_response_content = bot_response['content'] | |
| # Append bot response to conversation history | |
| conversation_history.append({"role": "assistant", "content": bot_response_content}) | |
| # Format the chat history for display | |
| chat_display = "\n".join([f"{msg['role'].capitalize()}: {msg['content']}" for msg in conversation_history]) | |
| return chat_display | |
| else: | |
| return f"Error: {response.text}" | |
| # Create Gradio interface | |
| iface = gr.Interface( | |
| fn=chat_with_bot, | |
| inputs="text", | |
| outputs="text", | |
| title="xAI Chatbot with Function Calling", | |
| description="Chat with Grok! Type your message below.", | |
| ) | |
| # Launch the interface | |
| if __name__ == "__main__": | |
| iface.launch() |