Upload app.py

app.py

@@ -60,8 +60,8 @@ def get_similar_products_cnn(product_id, num_results):
     Productids = list(Productids)
     doc_id = Productids.index(product_id)
     pairwise_dist = pairwise_distances(extracted_features, extracted_features[doc_id].reshape(1,-1))
-    indices = np.argsort(pairwise_dist.flatten())[0:num_results]
-    pdists  = np.sort(pairwise_dist.flatten())[0:num_results]
+    indices = np.argsort(pairwise_dist.flatten())[0:num_results+1]
+    pdists  = np.sort(pairwise_dist.flatten())[0:num_results+1]
     st.write("""
          #### input item details
          """)