Update app.py

app.py

@@ -18,7 +18,7 @@ def preprocess(text):
     
 def get_top_emojis(text, top_n=TOP_N):
     preprocessed = preprocess(text)
-    inputs = tokenizer(preprocessed)
+    inputs = tokenizer(preprocessed, return_tensors="pt")
     preds = model(**inputs).logits
     scores = torch.nn.functional.softmax(preds, axis=-1).detach().numpy()
     ranking = np.argsort(scores)