fix in app.py

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+import torch.nn.functional as F
 import torch
 from transformers import DistilBertForSequenceClassification, DistilBertTokenizerFast
 
@@ -10,10 +11,12 @@ def translate(text):
   input = tokenizer(text, return_tensors="pt")
   labels = torch.tensor([1]).unsqueeze(0)  # Batch size 1
   output = model(**input, labels=labels)
+  logits = outputs.logits 
+  prediction = F.softmax(logits, dim=1)
+  y_pred = torch.argmax(prediction).numpy()
+  return y_pred
 #  output = model.generate(input["input_ids"], max_length=40, num_beams=4, early_stopping=True)
   
-  return tokenizer.decode(output[0], skip_special_tokens=True)
-  
 title = "Text Emotion Classification"
 inputs = gr.inputs.Textbox(lines=1, label="Text")
 outputs = [gr.outputs.Textbox(label="Emotions")]