Update app.py

app.py

@@ -42,8 +42,7 @@ def preprocess_input_data(texts, tokenizer, max_len=120):
     return input_ids, attention_mask
 def sentiment_analysis(text): 
     X_input_ids, X_attention_mask = preprocess_input_data(text, arabert_tokenizer)
-    predictions = model(X_input_ids)
-    a=predictions.numpy()
+    preds = model(X_input_ids)
     import numpy as np
     predicted_class=list(np.where(preds <0.5,0,1).reshape(len(preds),1))