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demo.yaml

@@ -27,13 +27,10 @@ kwargs:
       - label: image
         postprocessing: null
       func_kwargs: {}
-      ldict:
-        class_string: gradify.exec_to_dict
-        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\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"

gradify.py

@@ -1,7 +1,10 @@
 
 
-def gradify_closure(ldict, argmaps, func_kwargs={}):
+def gradify_closure(source, argmaps, func_kwargs={}):
     
+    ldict = {}
+    exec(source, globals(), ldict)
+
     from types import FunctionType
     for k, v in ldict.items():
         if isinstance(v, FunctionType):
@@ -29,10 +32,3 @@ def gradify_closure(ldict, argmaps, func_kwargs={}):
             raise gr.Error(f"Error: {e}")
 
     return gradify_func
-
-def exec_to_dict(source, target=None):
-
-    ldict = {}
-    exec(source, globals(), ldict)
-
-    return ldict.get(target, None) if target else ldict