Update app.py

app.py

@@ -20,9 +20,9 @@ def preprocess_text(text):
       cleaned_chunks.append(stripped_chunk)
 
 
-  print(cleaned_chunks)
+  #print(cleaned_chunks)
 
-  print (len(cleaned_chunks))
+  #print (len(cleaned_chunks))
 
   return cleaned_chunks
 
@@ -31,9 +31,9 @@ model = SentenceTransformer('all-MiniLM-L6-v2')
 def create_embeddings(text_chunks):
   chunk_embeddings = model.encode(text_chunks, convert_to_tensor=True) # Replace ... with the text_chunks list
 
-  print(chunk_embeddings)
+  #print(chunk_embeddings)
 
-  print(chunk_embeddings.shape)
+  #print(chunk_embeddings.shape)
 
   return chunk_embeddings
 
@@ -48,11 +48,11 @@ def get_top_chunks(query, chunk_embeddings, text_chunks):
 
   similarities = torch.matmul(chunk_embeddings_normalized, query_embedding_normalized) # Complete this line
 
-  print(similarities)
+  #print(similarities)
 
   top_indices = torch.topk(similarities, k=3).indices
 
-  print(top_indices)
+  #print(top_indices)
 
   top_chunks = []
 
@@ -64,7 +64,7 @@ def get_top_chunks(query, chunk_embeddings, text_chunks):
 
 top_results = get_top_chunks("Your account has been compromised", chunk_embeddings, cleaned_chunks) # Complete this line
 
-print(top_results)
+#print(top_results)
 
 
 cleaned_chunks = preprocess_text(knowledge_base)