Update app.py

app.py

@@ -3,6 +3,9 @@ os.system('pip install "git+https://github.com/facebookresearch/detectron2.git@v
 import layoutparser as lp
 import gradio as gr
 
+# PrimaLayout
+model0 = lp.Detectron2LayoutModel('lp://PrimaLayout/mask_rcnn_R_50_FPN_3x/config')
+
 # PubLayNet 	
 model1 = lp.Detectron2LayoutModel('lp://PubLayNet/faster_rcnn_R_50_FPN_3x/config')
 model2 = lp.Detectron2LayoutModel('lp://PubLayNet/mask_rcnn_R_50_FPN_3x/config')
@@ -10,31 +13,33 @@ model3 = lp.Detectron2LayoutModel('lp://PubLayNet/mask_rcnn_X_101_32x8d_FPN_3x/c
 
 def lpi(img):
   # You need to load the image somewhere else, e.g., image = cv2.imread(...)
+  layout0 = model0.detect(img)
   layout1 = model1.detect(img) 
   layout2 = model2.detect(img)
   layout3 = model3.detect(img)
   
+  img0 = lp.draw_box(img, layout0)
   img1 = lp.draw_box(img, layout1)
   img2 = lp.draw_box(img, layout2)
   img3 = lp.draw_box(img, layout3)
   
-  return img1, img2, img3 # With extra configurations
+  return img0, img1, img2, img3 # With extra configurations
 
 inputs = gr.inputs.Image(type='pil', label="Original Image")
 outputs = [
-gr.outputs.Image(type="pil",label="Output Image (faster_rcnn_R_50_FPN_3x)"),
-gr.outputs.Image(type="pil",label="Output Image (mask_rcnn_R_50_FPN_3x)"),
-gr.outputs.Image(type="pil",label="Output Image (mask_rcnn_X_101_32x8d_FPN_3x)")
+gr.outputs.Image(type="pil",label="Output Image (PrimaLayout/faster_rcnn_R_50_FPN_3x)"),
+gr.outputs.Image(type="pil",label="Output Image (PubLayNet/faster_rcnn_R_50_FPN_3x)"),
+gr.outputs.Image(type="pil",label="Output Image (PubLayNet/mask_rcnn_R_50_FPN_3x)"),
+gr.outputs.Image(type="pil",label="Output Image (PubLayNet/mask_rcnn_X_101_32x8d_FPN_3x)")
 ]
 
-title = "Layout Parser (PubLayNet models)"
-description = "demo for Layout Parser with PubLayNet models. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
+title = "Layout Parser (PrimaLayout & PubLayNet models)"
+description = "demo for Layout Parser with PrimaLayout & PubLayNet models. 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 = [
     ['example-table.jpeg'],
     ['paper-image.jpeg']
-
 ]
 
 gr.Interface(lpi, inputs, outputs, title=title, description=description, article=article, examples=examples).launch()