Update app.py

app.py

@@ -82,8 +82,13 @@ def rag_memory_stream(messages, history=[]):
     A generator-based function that processes messages, maintains history,
     and streams responses for interaction with the chatbot.
     """
+    # Ensure messages is a list of strings
+    if isinstance(messages, list) and all(isinstance(msg, str) for msg in messages):
+        user_message = messages[-1]  # Extract the latest user message
+    else:
+        raise ValueError("Expected messages to be a list of strings.")
+
     partial_text = ""
-    user_message = messages[-1]["content"]  # Extract the latest user message
     history.append({"user": user_message, "bot": ""})  # Add to history
 
     # Simulate response generation (replace with actual rag_chain logic)
@@ -93,8 +98,8 @@ def rag_memory_stream(messages, history=[]):
         yield partial_text
 
 examples = [
-    [{"role": "user", "content": "What are the side effects of aspirin?"}],
-    [{"role": "user", "content": "Can ibuprofen cause dizziness?"}],
+    "What are the side effects of aspirin?",
+    "Can ibuprofen cause dizziness?"
 ]
 
 # Title and description for the app
@@ -105,7 +110,7 @@ Powered by the Groq API and LangChain, it delivers real-time, accurate responses
 
 Example Questions:
 - What are the side effects of aspirin?
-- What is the disease for constant fatigue and muscle weakness?
+- Can ibuprofen cause dizziness?
 
 Disclaimer: This chatbot is for informational purposes only and not a substitute for professional medical advice.
 """
@@ -128,7 +133,7 @@ Disclaimer: This chatbot is for informational purposes only and not a substitute
 # )
 
 demo = gr.ChatInterface(fn=rag_memory_stream,
-                        type="messages",
+                        type="list",
                         title=title,
                         description=description,
                         fill_height=True,