Update app.py

app.py

@@ -22,7 +22,7 @@ def get_top_emojis(text, top_n=TOP_N):
     inputs = tokenizer(preprocessed, return_tensors="pt")
     preds = model(**inputs).logits
     scores = torch.nn.functional.softmax(preds, dim=-1).detach().numpy()
-    sorted_scores = np.sort(scores.squeeze())[::-1][:top_n]
+    sorted_scores = [float(value) for value in np.sort(scores.squeeze())[::-1]][:top_n]
     ranking = np.argsort(scores)
     ranking = ranking.squeeze()[::-1][:top_n]
     emojis = [model.config.id2label[i] for i in ranking]