Update app.py

app.py

@@ -4,25 +4,25 @@ import layoutparser as lp
 import gradio as gr
 
 # PubLayNet 	
-#model1 = lp.Detectron2LayoutModel('lp://PrimaLayout/faster_rcnn_R_50_FPN_3x/config')
-model2 = lp.Detectron2LayoutModel('lp://PrimaLayout/mask_rcnn_R_50_FPN_3x/config')
-model3 = lp.Detectron2LayoutModel('lp://PrimaLayout/mask_rcnn_X_101_32x8d_FPN_3x/config')
+model1 = lp.Detectron2LayoutModel('lp://PubLayNet/faster_rcnn_R_50_FPN_3x/config')
+model2 = lp.Detectron2LayoutModel('lp://PubLayNet/mask_rcnn_R_50_FPN_3x/config')
+model3 = lp.Detectron2LayoutModel('lp://PubLayNet/mask_rcnn_X_101_32x8d_FPN_3x/config')
 
 def lpi(img):
   # You need to load the image somewhere else, e.g., image = cv2.imread(...)
-  #layout1 = model1.detect(img) 
+  layout1 = model1.detect(img) 
   layout2 = model2.detect(img)
   layout3 = model3.detect(img)
   
-  #img1 = lp.draw_box(img, layout1)
+  img1 = lp.draw_box(img, layout1)
   img2 = lp.draw_box(img, layout2)
   img3 = lp.draw_box(img, layout3)
   
-  return img2, img3 # With extra configurations
+  return 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 (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)")
 ]