Update app.py

app.py

@@ -20,7 +20,7 @@ with open("./embedding.pkl", "rb") as f:
 #     lModelRec = pickle.load(f)
 
 def recomm(inputPaper):
-    encodePaper = lModelRec.encode(inputPaper)
+    encodePaper = model.encode(inputPaper)
     cosine_score = util.cos_sim(Lencode, encodePaper)
     top_scores = torch.topk(cosine_score, dim=0, k=4)
     paperList = []