Update app.py

app.py

@@ -43,13 +43,12 @@ with gr.Blocks() as demo:
                     model_kwargs = model_kwargs,
                     encode_kwargs = {'normalize_embeddings':True}
                 )
-                persist_directory = r"VectorDB\db_book_mmt"
+                persist_directory = "db_book_mmt"
                 vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)
                 return similarity_search2(vectordb, query, k, unique)
         with gr.Column():
             output = gr.Textbox(scale=10, label="Output")
             btn.click(mmt_query, [query, k, unique], output)
-    
-    # interface = gr.Interface(fn=auto_eda, inputs="dataframe", outputs="json")
+            
 # demo.queue()
-demo.launch()
+demo.launch(share=True)