k

app.py

@@ -2,14 +2,14 @@ import gradio as gr
 from PIL import Image
 
 demo_inf_ofa = gr.Interface.load(name="spaces/ICML2022/OFA") #"spaces/freddyaboulton/blocks_inputs")
-demo_inf_lama = gr.Interface.load(name="spaces/CVPR/lama-example")  #gr.Blocks.load
+#demo_inf_lama = gr.Interface.load(name="spaces/CVPR/lama-example")  #gr.Blocks.load
 #img = gr.Interface.load("spaces/multimodalart/latentdiffusion")(ent[0],'50','256','256','1',10)[0] 
 
 #assert demo_inf("Foo", "bar") == "Foo bar"
 
 def get_lama(img1, img2):
-  out = demo_inf_lama(img1, img2, "automatic (U2net)")
-  return out
+  img, mask = gr.Interface.load(name="spaces/CVPR/lama-example")(img1, img2, "automatic (U2net)")
+  return img
   
 #def txt_fun(txt1, txt2):
 #  return demo_inf(txt1, txt2)
@@ -46,7 +46,7 @@ with demo:
   with gr.Row():
     in_image = gr.Image(type='pil') #(visible=False)
     in_image_mask = gr.Image(type='pil', source="canvas", visible=False)
-    out_image = gr.Image()
+    out_image = gr.Image(type='file')
     
     #in_text1 = gr.Textbox()
     #in_text2 = gr.Textbox()