Update app.py

app.py

@@ -74,17 +74,17 @@ 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
-        }
-        return normalized_sparse_vector
-        #return txt_sp
+        # 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 normalized_sparse_vector
+        return txt_sp
     
 
 model = EmbeddingModels()