Cleaning unwanted prints

app.py

@@ -13,7 +13,7 @@ paper_you_like = st.text_input(
     placeholder  = "Attention is all you need"
     )
 
-print(paper_you_like)
+# print(paper_you_like)
 
 with open('sentences.pkl', 'rb') as f:
     sentences = pickle.load(f)
@@ -31,7 +31,7 @@ cosine_scores = util.cos_sim(embeddings, model.encode(paper_you_like))
 
 
 top_similar_papers = torch.topk(cosine_scores,dim=0, k=5,sorted=True)
-top_similar_papers
+# top_similar_papers
 
 # s = ''