Waits for the input first

app.py

@@ -35,10 +35,12 @@ def get_model():
 
 model = get_model()
 
-# Calculating the similarity between titles
-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
-
-for i in top_similar_papers.indices:
-    st.write(sentences[i.item()])
+if paper_you_like: # if its not NONE
+    # Calculating the similarity between titles
+    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
+
+    st.subheader('Recommended Papers are :scroll: ')
+    for i in top_similar_papers.indices:
+        st.write(sentences[i.item()])