Update app.py

app.py

@@ -4,24 +4,28 @@ import layoutparser as lp
 import gradio as gr
 
 # PubLayNet 	
-model1 = lp.Detectron2LayoutModel('lp://PrimaLayout/faster_rcnn_R_50_FPN_3x/config')
+#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')
 
 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 img1, img2, img3 # With extra configurations
+  return 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)")]
+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)")
+]
 
 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."