Update app.py

app.py

@@ -61,7 +61,7 @@ def create_embeddings(text_chunks):
   return chunk_embeddings
 
 # Call the create_embeddings function and store the result in a new chunk_embeddings variable
-chunk_embeddings = create_embeddings(cleaned_chunks) # Complete this line
+#chunk_embeddings = create_embeddings(cleaned_chunks) # Complete this line
 
 ###STEP 5
 # Define a function to find the most relevant text chunks for a given query, chunk_embeddings, and text_chunks
@@ -100,7 +100,8 @@ def get_top_chunks(query, chunk_embeddings, text_chunks):
 
 # Print the top results
 #print(top_results)
-
+cleaned_chunks = preprocess_text(poverty_and_education)
+chunk_embeddings = create_embeddings(cleaned_chunks)
 #AI API being used
 client= InferenceClient("Qwen/Qwen2.5-7B-Instruct-1M")