meg-huggingface commited on
Commit
0c0c17a
1 Parent(s): 602f686

Finishing for the night

Browse files
Files changed (1) hide show
  1. app.py +5 -6
app.py CHANGED
@@ -32,7 +32,7 @@ def show_cluster(cl_id, num_clusters):
32
 
33
  with gr.Blocks(title=TITLE) as demo:
34
  gr.Markdown(f"# {TITLE}")
35
- gr.HTML("""<span font-size:smaller><b>This Space lets you explore the data generated from <a href="https://huggingface.co/spaces/society-ethics/DiffusionBiasExplorer" target=_blank>DiffusionBiasExplorer</a></b></span>.""")
36
  gr.HTML("""<span style="color:red" font-size:smaller>⚠️ DISCLAIMER: the images displayed by this tool were generated by text-to-image models and may depict offensive stereotypes or contain explicit content.</span>""")
37
  num_clusters = gr.Radio([12,24,48], value=12, label="How many clusters do you want to make from the data?")
38
 
@@ -42,13 +42,12 @@ with gr.Blocks(title=TITLE) as demo:
42
  with gr.Column():
43
  cluster_id = gr.Slider(minimum=0, maximum=num_clusters.value-1, step=1, value=0, label="Click to move between clusters")
44
  a = gr.Text(label="Number of images")
45
- with gr.Row():
46
- c = gr.Text(label="Model makeup of cluster")
47
- b = gr.Text(label="Gender label makeup of cluster")
48
- d = gr.Text(label="Ethnicity label makeup of cluster")
49
  demo.load(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
50
  num_clusters.change(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
51
  cluster_id.change(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
52
 
53
  if __name__ == "__main__":
54
- demo.queue().launch(debug=True)
 
32
 
33
  with gr.Blocks(title=TITLE) as demo:
34
  gr.Markdown(f"# {TITLE}")
35
+ gr.Markdown("## This Space lets you explore the data generated from [DiffusionBiasExplorer](https://huggingface.co/spaces/society-ethics/DiffusionBiasExplorer).")
36
  gr.HTML("""<span style="color:red" font-size:smaller>⚠️ DISCLAIMER: the images displayed by this tool were generated by text-to-image models and may depict offensive stereotypes or contain explicit content.</span>""")
37
  num_clusters = gr.Radio([12,24,48], value=12, label="How many clusters do you want to make from the data?")
38
 
 
42
  with gr.Column():
43
  cluster_id = gr.Slider(minimum=0, maximum=num_clusters.value-1, step=1, value=0, label="Click to move between clusters")
44
  a = gr.Text(label="Number of images")
45
+ c = gr.Text(label="Model makeup of cluster")
46
+ b = gr.Text(label="Gender label makeup of cluster")
47
+ d = gr.Text(label="Ethnicity label makeup of cluster")
 
48
  demo.load(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
49
  num_clusters.change(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
50
  cluster_id.change(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
51
 
52
  if __name__ == "__main__":
53
+ demo.queue().launch(debug=True)