Update app.py

app.py

@@ -23,24 +23,27 @@ def chatbot(user_input):
         return "Please enter a question or concern to receive guidance."
 
     try:
-        # Call Groq API to generate a response
-        brief_response = client.predict(user_input)
+        # Try to call Groq API to generate a response
+        brief_response = client.predict(user_input)  # Ensure that 'predict' or correct method is available
     except Exception as e:
-        return f"Error calling Groq API: {str(e)}"
-
-    # Randomly select a response from the dataset
-    idx = random.randint(0, len(context)-1)
-    reply = response[idx]
-    context_text = context[idx]
-    knowledge_text = knowledge[idx]
-    
-    # Combine dataset info with the Groq response
-    complete_response = (
-        f"**Personalized Advice**\n{brief_response}\n\n"
-        f"**Additional Insight**\n{reply}\n\n"
-        f"**Contextual Information**\n{context_text}\n"
-        f"**Knowledge Base**\n{knowledge_text}"
-    )
+        brief_response = None  # If Groq API fails, set brief_response to None
+
+    if not brief_response:
+        # If Groq API does not return a response, fall back to dataset
+        idx = random.randint(0, len(context)-1)
+        reply = response[idx]
+        context_text = context[idx]
+        knowledge_text = knowledge[idx]
+        
+        # Combine dataset info with fallback response
+        complete_response = (
+            f"**Contextual Information**\n{context_text}\n\n"
+            f"**Knowledge Base**\n{knowledge_text}\n\n"
+            f"**Fallback Response**\n{reply}"
+        )
+    else:
+        # If Groq API returns a response, use that as the final output
+        complete_response = f"**Personalized Response**\n{brief_response}"
 
     return complete_response