meg-huggingface commited on
Commit
9e9abb9
·
1 Parent(s): fb1b078

Shortening labels

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -73,13 +73,13 @@ with gr.Blocks(title=TITLE) as demo:
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  a = gr.Text(label="Number of images")
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  with gr.Row():
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  with gr.Column(scale=1):
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- c = gr.Plot(label="How many images in the cluster are from which models?")
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  c_desc = gr.Text(label="")
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  with gr.Column(scale=1):
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- b = gr.Plot(label="How many genders are represented, based on the input prompts?")
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  b_desc = gr.Text(label="")
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  with gr.Column(scale=2):
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- d = gr.Plot(label="Which ethnicities are present, based on the input prompts?")
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  gr.Markdown(f"The 'Model makeup' plot corresponds to the number of images from the cluster that come from each of the TTI systems that we are comparing: Dall-E 2, Stable Diffusion v.1.4. and Stable Diffusion v.2.")
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  gr.Markdown('The Gender plot shows the number of images based on the input prompts that used the words male, female, non-binary, and unmarked, which we label "person".')
 
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  a = gr.Text(label="Number of images")
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  with gr.Row():
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  with gr.Column(scale=1):
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+ c = gr.Plot(label="How many images from each model?")
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  c_desc = gr.Text(label="")
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  with gr.Column(scale=1):
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+ b = gr.Plot(label="How many genders are represented?")
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  b_desc = gr.Text(label="")
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  with gr.Column(scale=2):
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+ d = gr.Plot(label="Which ethnicities are present?")
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  gr.Markdown(f"The 'Model makeup' plot corresponds to the number of images from the cluster that come from each of the TTI systems that we are comparing: Dall-E 2, Stable Diffusion v.1.4. and Stable Diffusion v.2.")
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  gr.Markdown('The Gender plot shows the number of images based on the input prompts that used the words male, female, non-binary, and unmarked, which we label "person".')