Update app.py

app.py

@@ -42,7 +42,7 @@ with gr.Blocks() as demo:
             model_kwargs = model_kwargs,
             encode_kwargs = {'normalize_embeddings':True}
         )
-        persist_directory = r"data\VectorDB\db_book_mmt"
+        persist_directory = r"VectorDB\db_book_mmt"
         vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)
         return similarity_search2(vectordb, query, k, unique)