Update app.py

app.py

@@ -145,7 +145,7 @@ def gradio_interface_function(template, text, size, is_example):
         return  # End the function since there was an error
 
     # Initialize the sliding window prediction process
-    prediction_generator = sliding_window_prediction(template, text, model, tokenizer, window_size=size)
+    prediction_generator = sliding_window_prediction(template, text, model, tokenizer, window_size=int(size))
 
     # Iterate over the generator to return values at each step
     for progress, full_pred, html_content in prediction_generator: