fix to remap then get the labels

interfaces/sentiment.py

@@ -39,10 +39,12 @@ def predict(text, model_id, tokenizer_id):
         logits = model(**inputs).logits
 
     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]}
+    predicted_class_id = probs.argmax()
+    predicted_class_id = {4: 2, 5: 1}.get(predicted_class_id, 0)
+    
+    
+    output_pred = {model.config.id2label[i]: predicted_class_id[i] for i in np.argsort(predicted_class_id)[::-1]}
     
-    predicted_label = max(output_pred, key=output_pred.get)
-    output_pred = {4: 2, 5: 1}.get(predicted_label, 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