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demo.yaml

@@ -3,7 +3,7 @@ lite_metadata:
 class_string: gradio.interface.Interface
 kwargs:
   title: Gradio Webapp
-  description: given a PIL image, convert to anime
+  description: 'Given two png images, find the L1 loss '
   article: null
   thumbnail: null
   theme: gradio/seafoam
@@ -12,31 +12,35 @@ kwargs:
   inputs:
     class_string: liteobj.listify
     args:
-    - class_string: gradio.components.Image
+    - class_string: gradio.components.Textbox
       kwargs:
-        label: image
-        type: pil
+        label: image1
+    - class_string: gradio.components.Textbox
+      kwargs:
+        label: image2
   outputs:
     class_string: liteobj.listify
     args:
-    - class_string: gradio.components.Image
+    - class_string: gradio.components.Number
       kwargs:
         label: output
-        type: pil
   fn:
     class_string: gradify.gradify_closure
     kwargs:
       argmaps:
         class_string: liteobj.listify
         args:
-        - label: image
+        - label: image1
+          postprocessing: null
+        - label: image2
           postprocessing: null
       func_kwargs: {}
       ldict:
         class_string: gradify.exec_to_dict
         kwargs:
-          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"
+          source: "from PIL import Image\n\n\ndef l1_loss(image1, image2):\n    img1\
+            \ = Image.open(image1)\n    img2 = Image.open(image2)\n    pixels1 = img1.load()\n\
+            \    pixels2 = img2.load()\n    width, height = img1.size\n    loss =\
+            \ 0\n    for x in range(width):\n        for y in range(height):\n   \
+            \         for c in range(3):\n                loss += abs(pixels1[x, y][c]\
+            \ - pixels2[x, y][c])\n    return loss / (width * height * 3)\n"