Create app.py

app.py

@@ -0,0 +1,126 @@
+import os
+import requests
+import gradio as gr
+
+# Set your API keys
+os.environ['XAI_API_KEY'] = 'your_xai_api_key_here'  # Replace with your actual xAI API key
+os.environ['SPORTS_API_KEY'] = 'your_sports_api_key_here'  # 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()