fix sentiment labeling

interfaces/sentiment.py

@@ -40,6 +40,9 @@ def predict(text, model_id, tokenizer_id):
 
     probs = torch.nn.functional.softmax(logits, dim=1).cpu().numpy().flatten()
     output_pred = {model.config.id2label[i]: probs[i] for i in np.argsort(probs)[::-1]}
+
+    output_pred = {4: 2, 5: 1}.get(output_pred, 0)
+    
     output_info = f'<p style="text-align: center; display: block">Prediction was made using the <a href="https://huggingface.co/{model_id}">{model_id}</a> model.</p>'
     return output_pred, output_info