Update app.py

app.py

@@ -56,8 +56,8 @@ embeddings.to_csv("embeddings.csv", index=False)
 # faqs_embeddings = load_dataset('ITESM/embedded_faqs_medicare')
 # dataset_embeddings = torch.from_numpy(faqs_embeddings["train"].to_pandas().to_numpy()).to(torch.float)
 
-# dataset_embeddings = torch.from_numpy(embeddings.to_pandas().to_numpy()).to(torch.float)
-dataset_embeddings = torch.FloatTensor(embeddings)
+# dataset_embeddings = torch.from_numpy(embeddings[].to_pandas().to_numpy()).to(torch.float)
+# dataset_embeddings = torch.FloatTensor(embeddings)
 
 question = ["How can Medicare help me?"]
 output = query(question)