Update app.py

app.py

@@ -436,6 +436,8 @@ def classify_image(image):
         st.error(f"Classification error: {e}")
         return None
 
+
+
 def get_car_overview(brand, model, year):
     try:
         prompt = f"Provide an overview of the following car:\nYear: {year}\nMake: {brand}\nModel: {model}\n"
@@ -492,25 +494,27 @@ def generate_gpt_response(prompt, dataset):
             st.dataframe(dataset_response)  # Show results to the user
             return f"I found some information in our dataset about {make.title()} {model.title() if model else ''}. Please see the details above."
     
-
-    openai.api_key = "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"
-    system_message = {
-        "role": "system",
-        "content": (
-            "You are a helpful car shopping assistant. Provide car recommendations or pricing estimates. "
-            "If the dataset lacks information, generate an appropriate response."
+    try:
+        openai.api_key = "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"  # Replace with your API key
+        system_message = {
+            "role": "system",
+            "content": "You are a helpful car shopping assistant. Provide concise car recommendations or pricing estimates. Keep responses focused and brief."
+        }
+        messages = [
+            system_message,
+            {"role": "user", "content": f"Provide a brief response about: {prompt}"}
+        ]
+        
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo", 
+            messages=messages,
+            max_tokens=300,  # Reduced from 500
+            temperature=0.7,
         )
-    }
-    messages = [system_message, {"role": "user", "content": prompt}]
-    
-    response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo", 
-        messages=messages,
-        max_tokens=500,
-        temperature=0.7,
-    )
-    
-    return response['choices'][0]['message']['content']
+        
+        return response['choices'][0]['message']['content']
+    except Exception as e:
+        return f"I apologize, but I encountered an error: {str(e)}. Could you please rephrase your question or make it more specific?"
 
 # --- Assistant Section ---
 def create_assistant_section(dataset):