Update app.py

app.py

@@ -20,13 +20,16 @@ text_generation = pipeline("text-generation", model=model, tokenizer=tokenizer,
 # Wrap the pipeline in a LangChain HuggingFacePipeline
 llm = HuggingFacePipeline(pipeline=text_generation)
 
-# Initialize the prompt template
+# Initialize the prompt template with improved instructions
 prompt = ChatPromptTemplate.from_messages([
     ("system", """
     You are a helpful AI assistant. Your task is to engage in conversation with users,
     answer their questions, and assist them with various tasks.
     Communicate politely and maintain focus on the user's needs.
     Keep responses concise, typically two to three sentences.
+    Always provide a complete and relevant response to the user's input.
+    Do not use generic greetings or incomplete phrases like "Hello?".
+    If you don't understand or can't answer, say so clearly and ask for clarification.
     """),
     MessagesPlaceholder(variable_name="history"),
     ("human", "{input}"),
@@ -98,8 +101,9 @@ def chat_function(input_type, text_input=None, audio_input=None, history=None):
         
         print(f"LLM response: {response}")  # Debug information
         
-        if not response or not response.strip():
-            response = "I'm sorry, I couldn't generate a response. Could you please try again?"
+        # Post-process the response
+        if not response or not response.strip() or len(response.split()) < 3:
+            response = "I apologize, but I couldn't generate a meaningful response. Could you please rephrase your question or provide more context?"
         
         # Generate audio for LLM response
         audio_file = f"response_{uuid.uuid4()}.mp3"