Update app.py

app.py

@@ -124,6 +124,8 @@ def preprocess_text(text, chunk_size=200, overlap=50):
  # print(len(cleaned_chunks))
  # return cleaned_chunks
 
+model = SentenceTransformer('all-MiniLM-L6-v2')
+
 def create_embeddings(text_chunks):
     embeddings = model.encode(text_chunks, convert_to_tensor=True)
     if embeddings.ndim == 1: