Finishing for the night

app.py

@@ -32,7 +32,7 @@ def show_cluster(cl_id, num_clusters):
 
 with gr.Blocks(title=TITLE) as demo:
     gr.Markdown(f"# {TITLE}")
-    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>.""")
+    gr.Markdown("## This Space lets you explore the data generated from [DiffusionBiasExplorer](https://huggingface.co/spaces/society-ethics/DiffusionBiasExplorer).")
     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>""")
     num_clusters = gr.Radio([12,24,48], value=12, label="How many clusters do you want to make from the data?")
 
@@ -42,13 +42,12 @@ with gr.Blocks(title=TITLE) as demo:
         with gr.Column():
             cluster_id = gr.Slider(minimum=0, maximum=num_clusters.value-1, step=1, value=0, label="Click to move between clusters")
             a = gr.Text(label="Number of images")
-    with gr.Row():
-        c = gr.Text(label="Model makeup of cluster")
-        b = gr.Text(label="Gender label makeup of cluster")
-        d = gr.Text(label="Ethnicity label makeup of cluster")
+            c = gr.Text(label="Model makeup of cluster")
+            b = gr.Text(label="Gender label makeup of cluster")
+            d = gr.Text(label="Ethnicity label makeup of cluster")
     demo.load(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
     num_clusters.change(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
     cluster_id.change(fn=show_cluster, inputs=[cluster_id, num_clusters], outputs=[a,b,c,d, gallery])
 
 if __name__ == "__main__":
-    demo.queue().launch(debug=True)
+    demo.queue().launch(debug=True)