Update app.py

app.py

@@ -15,7 +15,7 @@ def main():
                                                                     num_labels=5)
         sentiment_pipeline = pipeline(model="huimanho/CustomModel_yelp")
         tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
-        outputs = model2(**inputs)
+        outputs = model2(**user_input)
         predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
         predictions = predictions.cpu().detach().numpy()
         # Get the index of the largest output value