added _ to cleaned_chunks

app.py

@@ -26,7 +26,7 @@ def preprocess_text(text):
   # Split the cleaned_text by every newline character (\n)
   chunks = cleaned_text.split("\n")
 
-  # Create an empty list to store cleaned chunks
+  # Create an empty list to store cleaned_chunks
   cleaned_chunks = []
 
   # Write your for-in loop below to clean each chunk and add it to the cleaned_chunks list
@@ -108,7 +108,7 @@ def get_top_chunks(query, chunk_embeddings, text_chunks):
 
 #STEP 6 FROM SEMANTIC SEARCH
 # Call the get_top_chunks function with the original query
-top_results = get_top_chunks("How does water get into the sky?", chunk_embedings, cleaned chunks) # Complete this line
+top_results = get_top_chunks("How does water get into the sky?", chunk_embedings, cleaned_chunks) # Complete this line
 
 # Print the top results
 print(top_results)