Update app.py

app.py

@@ -1,5 +1,5 @@
 import re
-import gradio as gr
+
 
 import torch
 from transformers import DonutProcessor, VisionEncoderDecoderModel
@@ -39,18 +39,18 @@ def process_document(image):
     
     return processor.token2json(sequence)
 
-description = "Gradio Demo for Donut, an instance of `VisionEncoderDecoderModel` fine-tuned on CORD (document parsing). To use it, simply upload your image and click 'submit', or click one of the examples to load them. Read more at the links below."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.15664' target='_blank'>Donut: OCR-free Document Understanding Transformer</a> | <a href='https://github.com/clovaai/donut' target='_blank'>Github Repo</a></p>"
-
-demo = gr.Interface(
-    fn=process_document,
-    inputs="image",
-    outputs="json",
-    title="Demo: Donut 🍩 for Document Parsing",
-    description=description,
-    article=article,
-    enable_queue=True,
-    examples=[["example.png"], ["example_1.png"],["example_2.png"], ["example_3.png"],["example_4.png"]],
-    cache_examples=False)
-
-demo.launch()
+# description = "Gradio Demo for Donut, an instance of `VisionEncoderDecoderModel` fine-tuned on CORD (document parsing). To use it, simply upload your image and click 'submit', or click one of the examples to load them. Read more at the links below."
+# article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.15664' target='_blank'>Donut: OCR-free Document Understanding Transformer</a> | <a href='https://github.com/clovaai/donut' target='_blank'>Github Repo</a></p>"
+
+# demo = gr.Interface(
+#     fn=process_document,
+#     inputs="image",
+#     outputs="json",
+#     title="Demo: Donut 🍩 for Document Parsing",
+#     description=description,
+#     article=article,
+#     enable_queue=True,
+#     examples=[["example.png"], ["example_1.png"],["example_2.png"], ["example_3.png"],["example_4.png"]],
+#     cache_examples=False)
+
+# demo.launch()