fix some comment formatting

app.py

@@ -36,7 +36,7 @@ def create_embeddings(text_chunks): # Convert text chunks to vector embeddings
 
 chunk_embeddings = create_embeddings(cleaned_chunks)
 
-#STEP 5 FROM SEMANTIC SEARCH
+# STEP 5 FROM SEMANTIC SEARCH
 def get_top_chunks(query, chunk_embeddings, text_chunks): # Return top 3 text chunks most semantically similar to the query
     query_embedding = model.encode(query,convert_to_tensor=True)
 
@@ -57,7 +57,7 @@ def get_top_chunks(query, chunk_embeddings, text_chunks): # Return top 3 text ch
 
     return top_chunks
 
-#STEP 6 FROM SEMANTIC SEARCH
+# STEP 6 FROM SEMANTIC SEARCH
 top_results = get_top_chunks(
     "Why is it important to carry copies of your travel documents?",
     chunk_embeddings,
@@ -66,7 +66,8 @@ top_results = get_top_chunks(
 
 print(top_results)
 
-#HUGGING FACE PROJECT
+
+# HUGGING FACE PROJECT
 client = InferenceClient("Qwen/Qwen2.5-72B-instruct")
 
 def respond(message, history): # Generate a response using the most relevant travel info chunks