Update app.py

app.py

@@ -65,7 +65,6 @@ def generate_response(user_query, relevant_segment):
     """
     Generate a response emphasizing the bot's capability to provide information related to composting food.
     """
-    """
     try:
         system_message = "You are a chatbot specialized in providing information about food composting tips, tricks, and basics."
         user_message = f"Here's the information on composting: {relevant_segment}"
@@ -86,16 +85,7 @@ def generate_response(user_query, relevant_segment):
     except Exception as e:
         print(f"Error in generating response: {e}")
         return f"Error in generating response: {e}"
-    """
-    # Create pipeline for text generation with confidence scores
-    generator = pipeline("text-davinci-003", device=0)  # Adjust device if needed
-
-    # Generate response and get confidence score
-    response = generator(query=f"Here's the information on chess: {relevant_segment} {user_query}", max_length=150, temperature=0.2, top_p=1)
-    generated_text = response[0]['generated_text'].strip()
-    confidence_score = response[0]['score']
 
-    return generated_text, confidence_score
 
 def query_model(question):
     """
@@ -130,6 +120,7 @@ topics = """
 # Define the HTML iframe content
 iframe = '''
 <iframe style="border-radius:12px" src="https://open.spotify.com/embed/playlist/37i9dQZF1DXdPec7aLTmlC?utm_source=generator" width="100%" height="352" frameBorder="0" allowfullscreen="" allow="autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture" loading="lazy"></iframe>
+'''
 
 def display_iframe():
     return iframe