Update app.py

app.py

@@ -3,7 +3,7 @@ import gradio as gr
 import torch
 from transformers import UdopProcessor, UdopForConditionalGeneration
 
-repo_id = "microsoft/udop-large"
+repo_id = "jinhybr/Fine-tune-UDOP-CDIP"
 
 processor = UdopProcessor.from_pretrained(repo_id)
 model = UdopForConditionalGeneration.from_pretrained(repo_id)
@@ -17,7 +17,7 @@ def process_document(image, question):
     
     return generated_text
 
-description = "Unofficial Gradio Demo for UDOP for 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."
+description = "UDOP for 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/pdf/2212.02623.pdf' target='_blank'>Unifying Vision, Text, and Layout for Universal Document Processing</a> | <a href='https://github.com/microsoft/UDOP' target='_blank'>Github Repo</a></p>"
 
 demo = gr.Interface(