Update app.py

app.py

@@ -31,8 +31,8 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
     all_splits = text_splitter.split_documents(documents)
     
     model_name = "sentence-transformers/paraphrase-multilingual-mpnet-base-v2"
-    model_kwargs = {"device": "cuda"}
-    embeddings = HuggingFaceEmbeddings(model_name=model_name, model_kwargs=model_kwargs)
+    # model_kwargs = {"device": "cuda"}
+    embeddings = HuggingFaceEmbeddings(model_name=model_name)#, model_kwargs=model_kwargs)
     
     vectordb = Chroma.from_documents(documents=all_splits, embedding=embeddings, persist_directory="chroma_db")