Update app.py

app.py

@@ -10,7 +10,7 @@ Original file is located at
 import gradio as gr
 from transformers import BertTokenizer, TFBertForSequenceClassification
 import tensorflow as tf
-#from transformers import pipeline
+
 
 # Load tokenizer
 tokenizer = BertTokenizer.from_pretrained("nlpaueb/bert-base-greek-uncased-v1")
@@ -24,18 +24,12 @@ def check_sarcasm(sentence):
     tf_outputs = model(tf_batch.input_ids, tf_batch.token_type_ids)
     tf_predictions = tf.nn.softmax(tf_outputs.logits, axis=-1)
     pred_label = tf.argmax(tf_predictions, axis=1)
-    #pred_label=pipeline(sentence)
 
     if pred_label == 1:
         return "Sarcastic"
     else:
         return "Not sarcastic"
 
-# Example usage
-#sentence = "Μεξικό: 25 νεκροί από την πτώση λεωφορείου στον γκρεμό"
-#result = check_sarcasm(sentence)
-#print(result)
-
 
 # Create a Gradio interface
 iface = gr.Interface(