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demo.yaml

@@ -1,5 +1,5 @@
 lite_metadata:
-  gradio_version: 3.32.0
+  gradio_version: 3.36.1
   liteobj_version: 0.0.7
 class_string: gradio.interface.Interface
 kwargs:
@@ -11,26 +11,27 @@ kwargs:
   css: null
   allow_flagging: never
   inputs:
-  - class_string: gradio.components.Image
+  - class_string: gradio.components.image.Image
     kwargs:
       label: image
       type: pil
   outputs:
-  - class_string: gradio.components.Image
+  - class_string: gradio.components.image.Image
     kwargs:
       label: output
       type: pil
   fn:
-    class_string: gradify.gradify_closure
+    class_string: gradify.closure
     kwargs:
       argmaps:
       - label: image
         postprocessing: null
       func_kwargs: {}
-      source: "from PIL import Image\n\n\ndef apply_sepia_filter(image):\n    width,\
-        \ height = image.size\n    for x in range(width):\n        for y in range(height):\n\
-        \            r, g, b = image.getpixel((x, y))\n            new_r = int(r *\
-        \ 0.393 + g * 0.769 + b * 0.189)\n            new_g = int(r * 0.349 + g *\
-        \ 0.686 + b * 0.168)\n            new_b = int(r * 0.272 + g * 0.534 + b *\
-        \ 0.131)\n            image.putpixel((x, y), (new_r, new_g, new_b))\n    return\
-        \ image\n"
+      source: "from PIL import Image\n\ndef apply_sepia_filter(image):\n    width,\
+        \ height = image.size\n    pixels = image.load()\n    for i in range(width):\n\
+        \        for j in range(height):\n            r, g, b = pixels[i, j]\n   \
+        \         tr = int(0.393 * r + 0.769 * g + 0.189 * b)\n            tg = int(0.349\
+        \ * r + 0.686 * g + 0.168 * b)\n            tb = int(0.272 * r + 0.534 * g\
+        \ + 0.131 * b)\n            pixels[i, j] = (min(tr, 255), min(tg, 255), min(tb,\
+        \ 255))\n    return image\nimage = Image.open('input_image.jpg')\nsepia_image\
+        \ = apply_sepia_filter(image)\nsepia_image.show()"

gradify.py

@@ -1,6 +1,6 @@
 
 
-def gradify_closure(source, argmaps, func_kwargs={}):
+def closure(source, argmaps, func_kwargs={}):
     
     ldict = {}
     exec(source, globals(), ldict)
@@ -14,7 +14,7 @@ def gradify_closure(source, argmaps, func_kwargs={}):
     globals().update(ldict)
     func_kwargs = dict(func_kwargs)
 
-    def gradify_func(*args):
+    def gradio_func(*args):
         
         try:
             for (arg, argmap) in zip(args, argmaps):
@@ -31,4 +31,4 @@ def gradify_closure(source, argmaps, func_kwargs={}):
             import gradio as gr
             raise gr.Error(f"Error: {e}")
 
-    return gradify_func
+    return gradio_func