Update app.py

app.py

@@ -53,11 +53,11 @@ embeddings = pd.DataFrame(output)
 embeddings.to_csv("embeddings.csv", index=False)
 
 # If were to upload embeddings in huggingface dataset
-# faqs_embeddings = load_dataset('ITESM/embedded_faqs_medicare')
-# dataset_embeddings = torch.from_numpy(faqs_embeddings["train"].to_pandas().to_numpy()).to(torch.float)
+faqs_embeddings = load_dataset('ITESM/embedded_faqs_medicare')
+dataset_embeddings = torch.from_numpy(faqs_embeddings["train"].to_pandas().to_numpy()).to(torch.float)
 
-embeddings_new = pd.read_csv(embeddings.csv)
-dataset_embeddings = torch.from_numpy(embeddings_new.to_pandas().to_numpy()).to(torch.float)
+# embeddings_new = pd.read_csv(embeddings.csv)
+# dataset_embeddings = torch.from_numpy(embeddings_new.to_pandas().to_numpy()).to(torch.float)
 
 question = ["How can Medicare help me?"]
 output = query(question)