Update app.py

app.py

@@ -23,7 +23,7 @@ def chat(user_msg):
     query_embedding = model.encode(user_msg, convert_to_tensor=True)
     cos_scores = util.cos_sim(query_embedding , corpus_embeddings)
     top_results =  torch.topk(cos_scores, k=1)
-    return model_df["question"][top_results[1][0].item()],top_results[0][0].item()
+    return model_df["answer"][top_results[1][0].item()],top_results[0][0].item()
     # return top_results[0][0],top_results[1][0]
 
 # iface = gr.Interface(fn=chat, inputs="text", outputs="text")