Update app.py

app.py

@@ -91,7 +91,7 @@ def get_top_chunks(query, chunk_embeddings, text_chunks):
   print(similarities)
 
   # Find the indices of the 3 chunks with highest similarity scores
-  top_indices = torch.topk(similarities, k=8).indices
+  top_indices = torch.topk(similarities, k=5).indices
   #gives index values of top chunks
 
   # Print the top indices
@@ -112,7 +112,7 @@ def get_top_chunks(query, chunk_embeddings, text_chunks):
 client = InferenceClient('Qwen/Qwen2.5-72B-Instruct')
 def respond(message, history):
     info = get_top_chunks(message, chunk_embeddings, cleaned_chunks)
-    messages = [{'role': 'system', 'content': f'You are a friendly chatbot using {info} to answer questions. You love creating playlists and will give at least 8 songs as a response. You will also capitalize the first letters of the first and last names of every artist you name.'}]
+    messages = [{'role': 'system', 'content': f'You are a friendly chatbot using {info} to answer questions. You love creating playlists and will give at least 5 songs as a response. You will also capitalize the first letters of the first and last names of every artist you name.'}]
 
           
     if history: