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Browse files- demo.yaml +3 -7
- gradify.py +4 -8
demo.yaml
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@@ -4,7 +4,7 @@ lite_metadata:
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class_string: gradio.interface.Interface
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kwargs:
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title: gitio count hello
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description:
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the substring 'hello world'
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article: null
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thumbnail: null
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@@ -28,9 +28,5 @@ kwargs:
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- label: df
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postprocessing: null
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func_kwargs: {}
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kwargs:
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source: "import pandas as pd\n\n\ndef count_hello_world(df):\n return\
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\ df.astype(str).apply(lambda x: x.str.contains('hello world')).sum(\n\
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\ ).sum()\n"
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class_string: gradio.interface.Interface
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kwargs:
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title: gitio count hello
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description: Given a pandas dataframe, count the number of entries that contain
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the substring 'hello world'
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article: null
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thumbnail: null
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- label: df
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postprocessing: null
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func_kwargs: {}
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source: "import pandas as pd\n\n\ndef count_hello_world(df):\n return df.astype(str).apply(lambda\
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\ x: x.str.contains('hello world')).sum(\n ).sum()\n"
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gradify.py
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@@ -1,7 +1,10 @@
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def gradify_closure(
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from types import FunctionType
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for k, v in ldict.items():
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if isinstance(v, FunctionType):
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@@ -29,10 +32,3 @@ def gradify_closure(ldict, argmaps, func_kwargs={}):
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raise gr.Error(f"Error: {e}")
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return gradify_func
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def exec_to_dict(source, target=None):
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ldict = {}
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exec(source, globals(), ldict)
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return ldict.get(target, None) if target else ldict
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def gradify_closure(source, argmaps, func_kwargs={}):
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ldict = {}
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exec(source, globals(), ldict)
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from types import FunctionType
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for k, v in ldict.items():
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if isinstance(v, FunctionType):
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raise gr.Error(f"Error: {e}")
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return gradify_func
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