Create app.py

app.py

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+import layoutparser as lp
+import gradio as gr
+
+model = lp.Detectron2LayoutModel('lp://PrimaLayout/mask_rcnn_R_50_FPN_3x/config')
+
+def lpi(img):
+  layout = model.detect(img) # You need to load the image somewhere else, e.g., image = cv2.imread(...)
+  return lp.draw_box(img, layout,) # With extra configurations
+
+inputs = gr.inputs.Image(type='pil', label="Original Image")
+outputs = gr.outputs.Image(type="pil",label="Output Image")
+
+title = "Layout Parser"
+description = "demo for Layout Parser. To use it, simply upload your image, 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/2103.15348'>LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis</a> | <a href='https://github.com/Layout-Parser/layout-parser'>Github Repo</a></p>"
+
+examples = [
+    ['examples/data/example-table.jpeg'],
+    ['examples/data/paper-image.jpg']
+
+]
+
+gr.Interface(lpi, inputs, outputs, title=title, description=description, article=article, examples=examples).launch()