Add packages.txt

app.py

@@ -9,7 +9,6 @@ os.system('pip install torch==1.8.0+cu101 torchvision==0.9.0+cu101 -f https://do
 os.system('pip install -q detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html')
 
 ## install PyTesseract
-os.system('sudo apt-get install tesseract-ocr')
 os.system('pip install -q pytesseract')
 
 import gradio as gr
@@ -81,7 +80,7 @@ def process_image(image):
 
 
 title = "Interactive demo: LayoutLMv2"
-description = "Demo for Microsoft's LayoutLMv2, a Transformer for state-of-the-art document image understanding tasks. To use it, simply upload an image or use the example image below. Results will show up in a few seconds."
+description = "Demo for Microsoft's LayoutLMv2, a Transformer for state-of-the-art document image understanding tasks. This particular model is fine-tuned on FUNSD, a dataset of manually annotated forms. It annotates the words into QUESTION/ANSWER/HEADER/OTHER. To use it, simply upload an image or use the example image below. Results will show up in a few seconds."
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2012.14740'>LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding</a> | <a href='https://github.com/microsoft/unilm'>Github Repo</a></p>"
 examples =[['document.png']]
 

packages.txt

@@ -0,0 +1 @@
+tesseract-ocr