Update app.py

app.py

@@ -17,7 +17,7 @@ def model_classifier(text):
             return f"the input text is {text}"
         else:
             encoded_input=tokenizer(text) #this is where the encoding happens
-            logits=model(encoded).logits  #this is the logits of the labels
+            logits=model(encoded_input).logits  #this is the logits of the labels
             probs_label=softmax(logits,dim=-1)  #turning the probability distribution into normalize form
             id2label=model.config.id2label
             return_probs={id2label[i]:probs.item() for i,probs in enumerate(probs_label[0])}