first commit

app.py

@@ -120,16 +120,15 @@ def sequence_to_classify(text, labels):
 		pred["scores"], pred["labels"] = zip(*sorted_sl)
 		preds.append(pred)
 	
-	print(preds)
-	predicted_labels = preds['labels']
-	predicted_scores = preds['scores']
-	clean_output = {idx: float(predicted_scores.pop(0)) for idx in predicted_labels}
+	predicted_labels = list(preds['labels'])
+	predicted_scores = list(preds['scores'])
+	output = {idx: float(predicted_scores.pop(0)) for idx in predicted_labels}
 	print("Date:{}, Sequence:{}, Labels: {}".format(
 		str(datetime.datetime.now()),
 		text,
 		predicted_labels))
 
-	return clean_output
+	return output
 
 iface = gr.Interface(
     title="Alternate Zero-shot Multi-label Multilingual NLP Classifier",