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app.py

@@ -7,17 +7,33 @@ import pandas
 
 
 st.title('Arxiv Paper Recommendation')
-text_input = st.text_input(
+paper_you_like = st.text_input(
         "Enter the title of any paper you like 👇",
     placeholder  = "Paper title of your choice"
     )
 
-print(text_input)
+print(paper_you_like)
 
+with open('sentences.pkl', 'rb') as f:
+    sentences = pickle.load(f)
 
+with open('embeddings.pkl', 'rb') as f:
+    embeddings = pickle.load(f)
 
+    
 # Calculating the similarity between titles
-# cosine_scores = util.cos_sim(embeddings, model.encode(paper_you_like))
+cosine_scores = util.cos_sim(embeddings, model.encode(paper_you_like))
 
-# print(cosine_scores)
+print(cosine_scores)
+
+import torch
+top_similar_papers = torch.topk(cosine_scores,dim=0, k=5,sorted=True)
+top_similar_papers
+
+s = ''
+
+for i in top_similar_papers:
+    s += "- " + i + "\n"
+
+st.markdown(s)