Update app.py

app.py

@@ -54,7 +54,7 @@ model = SentenceTransformer('all-MiniLM-L6-v2')
 
 def create_embeddings(text_chunks):
   # Convert each text chunk into a vector embedding and store as a tensor
-  chunk_embeddings = model.encode(cleaned_chunks, convert_to_tensor=True) # Replace ... with the text_chunks list
+  chunk_embeddings = model.encode(text_chunks, convert_to_tensor=True) # Replace ... with the text_chunks list
 
   # Print the chunk embeddings
   print(chunk_embeddings)
@@ -111,7 +111,7 @@ def respond(message, history):
     str_watch_chunks = "\n".join(best_next_watch)
     messages = [
         {"role":"system", 
-        "content": "You are a gen-z helpful chatbot that helps teenagers find their next best watch, speak in gen-z terms and be natural. You should answer the users question based on " + str_watch_chunks+ " ."
+        "content": "You are a gen-z helpful chatbot that helps teenagers find their next best watch, speak in gen-z terms and be natural. You should answer the users question based on " + str_watch_chunks + " ."
         }
     ]
     if history: