Update app.py

app.py

@@ -3,12 +3,12 @@ import os
 from openai import OpenAI
 from dotenv import load_dotenv
 
-# Load API key from environment variables
+# Load environment variables
 load_dotenv()
 api_key = os.getenv("OPENAI_API_KEY")
 client = OpenAI(api_key=api_key)
 
-# Function to fetch weather details (mock implementation)
+# Function that provides weather details
 def get_weather(city: str):
     weather_data = {
         "New York": "☀️ Sunny, 25°C",
@@ -17,9 +17,8 @@ def get_weather(city: str):
     }
     return weather_data.get(city, "Weather data not available for this city.")
 
-# Function to handle user queries
+# Chat function with function calling
 def chat_with_llm(user_query):
-    # Define function schema
     functions = [
         {
             "name": "get_weather",
@@ -34,29 +33,26 @@ def chat_with_llm(user_query):
         }
     ]
 
-    # Get response from GPT with function calling enabled
     response = client.chat.completions.create(
-        model="gpt-4-turbo",
+        model="gpt-4o-mini",
         messages=[{"role": "user", "content": user_query}],
         functions=functions,
-        function_call="auto"  # GPT decides if function calling is needed
+        function_call="auto"  # GPT decides whether to call the function
     )
 
     message = response.choices[0].message
 
-    # Check if function was called
-    if message.function_call:
+    if hasattr(message, "function_call") and message.function_call:
         try:
             function_args = json.loads(message.function_call.arguments)
             city = function_args.get("city")
             if city:
                 return get_weather(city)
         except Exception as e:
-            return f"Error processing function call: {str(e)}"
+            return f"❌ Error processing function call: {str(e)}"
 
-    # If no function was called, return normal LLM response
-    return message.content
+    return message.content  # Return normal LLM response if no function is called
 
 # Example Queries
-print(chat_with_llm("What's the weather like in New York?"))  # Function Call
-print(chat_with_llm("Tell me a joke."))  # Normal LLM Response
+print(chat_with_llm("What's the weather like in New York?"))  # Calls function
+print(chat_with_llm("Tell me a joke."))  # Normal LLM response