Update app.py

app.py

@@ -18,7 +18,7 @@ tokenizer = BertTokenizer.from_pretrained("nlpaueb/bert-base-greek-uncased-v1")
 # Load model
 model = TFBertForSequenceClassification.from_pretrained('fine-tuned-bert-gr.h5')
 
-#pipeline= pipeline(task="text-classification", model="https://huggingface.co/spaces/Kleo/Sarcasm/blob/main/tf_model.h5")
+#pipeline= pipeline(task="text-classification", model="https://huggingface.co/spaces/Kleo/Sarcasm/blob/main/")
 def check_sarcasm(sentence):
     tf_batch = tokenizer(sentence, max_length=128, padding=True, truncation=True, return_tensors='tf')
     tf_outputs = model(tf_batch.input_ids, tf_batch.token_type_ids)