Update app.py

resolving error

app.py

@@ -185,7 +185,7 @@ def word_by_word(txt_url, normalized_content_with_style):
             confidence_score_text,
       ) = predict_2(txt_url, normalized_content_with_style)
 
-  model = DistilBertForSequenceClassification.from_pretrained(".")
+  model = DistilBertForSequenceClassification.from_pretrained("")
   tokenizer = DistilBertTokenizer.from_pretrained(".")      
   device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
   model = model.to(device)
@@ -251,7 +251,7 @@ demo = gr.Interface(
         gr.outputs.Textbox(label="Description").style(show_copy_button=True),
         gr.outputs.Textbox(label="Text_prediction_score"),
         gr.outputs.Textbox(label="Text_confidence_score"),
-        gr.outputs.Textbox(label="per word classification").style(show_copy_button=True),
+        gr.outputs.Textbox(label="word-by-word").style(show_copy_button=True),
     ],
 )