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Update app.py
Browse filesupdating instructions/description
app.py
CHANGED
@@ -169,9 +169,9 @@ def show_examplars(num_clusters, prof_name, cl_id):
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with gr.Blocks(title=TITLE) as demo:
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gr.Markdown("# 🤗 Diffusion Cluster Explorer")
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gr.Markdown("
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with gr.Tab("Professions Overview"):
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gr.Markdown("
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("Select the parameters here:")
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@@ -222,7 +222,7 @@ with gr.Blocks(title=TITLE) as demo:
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with gr.Tab("Profession Focus"):
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with gr.Row():
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with gr.Column():
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gr.Markdown("Select profession to visualize
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num_clusters_focus = gr.Radio(
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[12, 24, 48],
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value=12,
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with gr.Blocks(title=TITLE) as demo:
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gr.Markdown("# 🤗 Diffusion Cluster Explorer")
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gr.Markdown("This tool helps you explore the different clusters that we discovered in the images generated by 3 text-to-image models: Dall-E 2, Stable Diffusion v.1.4 and v.2. This work was done in the scope of the [Stable Bias Project](https://huggingface.co/spaces/society-ethics/StableBias).")
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with gr.Tab("Professions Overview"):
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gr.Markdown("Select one or more professions and models from the dropdowns on the left to see which clusters are most representative for this combination. Try choosing different numbers of clusters to see if the results change, and then go to the 'Profession Focus' tab to go more in-depth into these results.")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("Select the parameters here:")
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with gr.Tab("Profession Focus"):
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with gr.Row():
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with gr.Column():
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gr.Markdown("Select profession to visualize and see which clusters and identity groups are most represented in the profession, as well as some examples of generated images below.")
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num_clusters_focus = gr.Radio(
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[12, 24, 48],
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value=12,
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