Update app.py

app.py

@@ -10,9 +10,8 @@ etalon = pd.read_csv("etalon_prod.csv")
 df = pd.read_csv("preprocessed_train_classify_rec_spec_filtered_by_etalon.csv")
 df = df[df['is_match'] == 1]
 
-model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2').to("cuda")
+model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')
 
-device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 
 unique_complaints = df['Жалобы'].values.tolist()