Update app.py

app.py

@@ -125,9 +125,7 @@ def predict_2(txt_url, normalized_content_with_style):
         confidence_scores_content,
         new_data, 
     ) = (None, None, None, None, None)
-
   predicted_label_text, confidence_score_text = None, None
-
   if txt_url.startswith("http://") or txt_url.startswith("https://"):
     (
             predicted_label_title,
@@ -147,7 +145,6 @@ def predict_2(txt_url, normalized_content_with_style):
             max_length=512,
             return_tensors="pt",
         )
-
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
     test_input_ids = test_encodings["input_ids"].to(device)
     test_attention_mask = test_encodings["attention_mask"].to(device)
@@ -172,7 +169,6 @@ def predict_2(txt_url, normalized_content_with_style):
             confidence_score_text,
             #new,
             )
-
 def word_by_word(txt_url, normalized_content_with_style):
   if txt_url.startswith("http://") or txt_url.startswith("https://") or txt_url.startswith(""):
     (
@@ -235,8 +231,6 @@ def word_by_word(txt_url, normalized_content_with_style):
       confidence_score_text,
       new_word,
   )
-
-
 demo = gr.Interface(
     fn=word_by_word,
     inputs=[
@@ -254,5 +248,4 @@ demo = gr.Interface(
         gr.outputs.Textbox(label="word-by-word").style(show_copy_button=True),
     ],
 ) 
-
 demo.launch()