first commit

app.py

@@ -119,16 +119,16 @@ def sequence_to_classify(text, labels):
 		pred["labels"] = textlet
 		pred["scores"], pred["labels"] = zip(*sorted_sl)
 		preds.append(pred)
-
-    predicted_labels = preds['labels']
-    predicted_scores = preds['scores']
-    clean_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
+		
+	predicted_labels = preds['labels']
+	predicted_scores = preds['scores']
+	clean_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
 
 iface = gr.Interface(
     title="Alternate Zero-shot Multi-label Multilingual NLP Classifier",