sentence fix 2

app.py

@@ -80,7 +80,7 @@ def predict_wrapper(text, language):
     results = []
     for sentence in sentences:
         probs = predict(sentence, model_id, tokenizer_id)
-        results.append(sentence, get_most_probable_label(probs))
+        results.append([sentence, get_most_probable_label(probs)])
 
     output_info = f'Prediction was made using the <a href="https://huggingface.co/{model_id}">{model_id}</a> model.'
     return results, output_info