Update app.py

app.py

@@ -4,78 +4,21 @@ 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}..."
+os.environ['SERPER_API_KEY'] = '206256c6acfbcd5a46195f3312aaa7e8ed38ae5f'  # Replace with your Serper AI key
 
 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"],
-                },
-            },
+        "messages": [
+            {"role": "system", "content": "You are a helpful assistant."},
+            {"role": "user", "content": user_input}
         ],
+        "model": "grok-beta",
         "stream": False,
         "temperature": 0.7
     }
@@ -83,32 +26,7 @@ def chat_with_bot(user_input):
     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
+        return response.json()['choices'][0]['message']['content']
     else:
         return f"Error: {response.text}"
 
@@ -117,7 +35,7 @@ iface = gr.Interface(
     fn=chat_with_bot,
     inputs="text",
     outputs="text",
-    title="xAI Chatbot with Function Calling",
+    title="xAI Chatbot",
     description="Chat with Grok! Type your message below.",
 )