jaekookang commited on
Commit
6ea602d
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1 Parent(s): 25376a6

update minor

Browse files
Files changed (3) hide show
  1. .gitignore +1 -2
  2. README.md +1 -30
  3. gradio_painttransformer.py +1 -1
.gitignore CHANGED
@@ -1,5 +1,4 @@
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  __pycache__
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  *.log
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  *.pdparams
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- *.mp4
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- *.gif
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  __pycache__
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  *.log
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  *.pdparams
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+ *.mp4
 
README.md CHANGED
@@ -19,33 +19,4 @@ pinned: false
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  ImportError: libGL.so.1: cannot open shared object file: No such file or directory
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  ```
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  - Instead, using `imageio` make gif file as output
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-
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-
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- # Configuration
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-
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- `title`: _string_
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- Display title for the Space
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-
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- `emoji`: _string_
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- Space emoji (emoji-only character allowed)
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-
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- `colorFrom`: _string_
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- Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
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-
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- `colorTo`: _string_
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- Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
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-
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- `sdk`: _string_
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- Can be either `gradio` or `streamlit`
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-
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- `sdk_version` : _string_
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- Only applicable for `streamlit` SDK.
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- See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
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-
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- `app_file`: _string_
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- Path to your main application file (which contains either `gradio` or `streamlit` Python code).
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- Path is relative to the root of the repository.
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-
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- `pinned`: _boolean_
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- Whether the Space stays on top of your list.
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-
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  ImportError: libGL.so.1: cannot open shared object file: No such file or directory
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  ```
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  - Instead, using `imageio` make gif file as output
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+ - Uploaded on HuggingFace Spaces (https://huggingface.co/spaces/jkang/demo-painttransformer)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
gradio_painttransformer.py CHANGED
@@ -75,7 +75,7 @@ def predict(image_file):
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  iface = gr.Interface(
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  predict,
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  title='🎨 Paint Transformer',
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- description='This demo converts an image into a sequence of painted images (takes about 3 min ^^;)',
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  inputs=[
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  gr.inputs.Image(label='Input image', type='filepath')
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  ],
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  iface = gr.Interface(
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  predict,
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  title='🎨 Paint Transformer',
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+ description='This demo converts an image into a sequence of painted images (takes about 2 min ^^;)',
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  inputs=[
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  gr.inputs.Image(label='Input image', type='filepath')
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  ],