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demo.yaml

@@ -3,7 +3,7 @@ lite_metadata:
 class_string: gradio.interface.Interface
 kwargs:
   title: Gradio Webapp
-  description: given two numbers, return the sum
+  description: given a PIL image, convert to anime
   article: null
   thumbnail: null
   theme: gradio/seafoam
@@ -12,33 +12,31 @@ kwargs:
   inputs:
     class_string: liteobj.listify
     args:
-    - class_string: gradio.components.Number
+    - class_string: gradio.components.Image
       kwargs:
-        label: num1
-        precision: 0
-    - class_string: gradio.components.Number
-      kwargs:
-        label: num2
-        precision: 0
+        label: image
+        type: pil
   outputs:
     class_string: liteobj.listify
     args:
-    - class_string: gradio.components.Number
+    - class_string: gradio.components.Image
       kwargs:
         label: output
-        precision: 0
+        type: pil
   fn:
     class_string: gradify.gradify_closure
     kwargs:
       argmaps:
         class_string: liteobj.listify
         args:
-        - label: num1
-          postprocessing: null
-        - label: num2
+        - label: image
           postprocessing: null
       func_kwargs: {}
       ldict:
         class_string: gradify.exec_to_dict
         kwargs:
-          source: "def sum_numbers(num1, num2):\n    return num1 + num2\n"
+          source: "from PIL import Image\nimport numpy as np\n\n\ndef convert_to_anime(image):\n\
+            \    img = np.array(image)\n    r, g, b = img[:, :, 0], img[:, :, 1],\
+            \ img[:, :, 2]\n    gray = 0.2989 * r + 0.587 * g + 0.114 * b\n    gray\
+            \ = gray.astype(np.uint8)\n    gray = np.stack([gray, gray, gray], axis=2)\n\
+            \    return Image.fromarray(gray)\n"