create

app.py

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+import gradio as gr
+from PIL import Image
+
+demo_inf = gr.Blocks.load(name="spaces/ICML2022/OFA") #"spaces/freddyaboulton/blocks_inputs")
+#assert demo_inf("Foo", "bar") == "Foo bar"
+
+def txt_fun(txt1, txt2):
+  return demo_inf(txt1, txt2)
+
+#original = Image.open("./c4.jpg")
+#output_img_path = demo_inf("./c4.jpg", fn_index=1)
+#output = Image.open(output_img_path)
+#assert original.size == output.size
+
+def img_fun1(img_in):
+  return demo_inf(img_in) #, fn_index=1)
+
+#original = Image.open("./c4.jpg")
+#output_img_path = demo_inf("./c4.jpg", fn_index=1)
+#output = Image.open(output_img_path)
+#assert original.size == output.size
+
+def img_fun(img_in):
+  original = Image.open("./c4.jpg")
+  print("after line1")
+  output_img_path = demo_inf("./c4.jpg", fn_index=1)
+  print("after line1")
+  output = Image.open(output_img_path)
+  print("after line1")
+  return output
+  
+demo = gr.Blocks()
+
+with demo:
+  gr.Markdown("<h1><center>Testing</center></h1>")
+  gr.Markdown(
+        """Testing Inference for Gradio. Work in Progress."""
+        )
+  with gr.Row():
+    in_image = gr.Image(visible=False)
+    out_image = gr.Image()
+    
+    in_text1 = gr.Textbox()
+    in_text2 = gr.Textbox()
+    out_text = gr.Textbox()
+    
+  b1 = gr.Button("Image Button")
+  b2 = gr.Button("Text Button") 
+
+  b1.click(img_fun,inputs=in_image, outputs=out_image) 
+  b2.click(txt_fun, inputs=[in_text1, in_text2], outputs=out_text)
+  #examples=examples 
+
+demo.launch(enable_queue=True, debug=True)