first commit

app.py

@@ -104,8 +104,7 @@ def sequence_to_classify(text, labels):
 		labels_features = torch.tensor(self.model.encode(labels))
 		
 	sim_scores = util.cos_sim(text_features, labels_features)
-    preds = []
-
+	preds = []
 	for textlet, sim_score in zip([text], sim_scores):
 		out = []
 		pred = {}