first commit

app.py

@@ -114,7 +114,7 @@ def sequence_to_classify(text, labels):
 		probs = probs.softmax(dim=-1).cpu().numpy()
 		scores = list(probs.flatten())
 
-		sorted_sl = sorted(zip(scores, candidate_labels), key=lambda t:t[0], reverse=True)  
+		sorted_sl = sorted(zip(scores, labels), key=lambda t:t[0], reverse=True)  
 
 		pred["labels"] = textlet
 		pred["scores"], pred["labels"] = zip(*sorted_sl)