Update app.py

app.py

@@ -74,15 +74,15 @@ class EmbeddingModels:
         df_chunk = self.preprocessing_patent_data(df_chunk)
         txt_sp = self.sparse_model.encode_documents(df_chunk)
 
-        # tensor = torch.tensor(txt_sp['values'])
-        # normalized_tensor = F.normalize(tensor, p=2.0, dim=0, eps=1e-12)
-        # values = normalized_tensor.tolist()
-
-        # # Update the sparse_vector with normalized values
-        # normalized_sparse_vector = {
-        #     'indices': txt_sp['indices'],
-        #     'values': values
-        # }
+        tensor = torch.tensor(txt_sp['values'])
+        normalized_tensor = F.normalize(tensor, p=2.0, dim=0, eps=1e-12)
+        values = normalized_tensor.tolist()
+
+        # Update the sparse_vector with normalized values
+        normalized_sparse_vector = {
+            'indices': txt_sp['indices'],
+            'values': values
+        }
         return txt_sp