Update app.py

app.py

@@ -42,23 +42,13 @@ def process_document(image, question):
 
 demo = gr.Interface(
     fn=process_document,
-    inputs= gr.inputs.Image(type="pil"),
+    inputs=["image", "text"],
     outputs="json",
     title=f"Demo: Donut 🍩 for DocVQA",
     description = "Gradio Demo for Donut, an instance of `VisionEncoderDecoderModel` fine-tuned on DocVQA (document visual question answering). To use it, simply upload your image and type a question 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>"
+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>",
+     enable_queue=True,
+     examples=[["example_1.png", "When is the coffee break?"]],
+    cache_examples=False)
 
-interface = gr.Interface(fn=answer_question, 
-                         inputs=["image", "text"], 
-                         outputs="json",
-                         examples=examples, 
-                         title=title,
-                         description=description,
-                         article=article, 
-                         enable_queue=True)
-interface.launch(debug=True)
-
-    examples=[["example_1.png", "When is the coffee break?"]],
-    cache_examples=False,
-)
 demo.launch()