Update app.py

app.py

@@ -45,7 +45,9 @@ if user_input:
     
     # Add formatted examples to the final prompt
     formatted_prompt = final_prompt.format_messages(dialogue=user_input)
-    formatted_prompt = formatted_prompt + formatted_prompt
+    
+    # Convert the list of messages into a single string
+    prompt_string = "\n".join([msg["content"] for msg in formatted_prompt])
 
     # Get response from model with correct explicit parameters
     llm = HuggingFaceEndpoint(
@@ -54,7 +56,9 @@ if user_input:
         temperature=0.3,  # Explicitly passing temperature here
         max_new_tokens=128  # Explicitly passing max_new_tokens here
     )
-    response = llm(formatted_prompt)
+    
+    # Run the LLM with the prompt string
+    response = llm(prompt_string)
 
     # Output the summary
     st.subheader("📌 Summary:")