feature: create a tab for each subcategory of indicators

app.py

@@ -5,14 +5,30 @@ import pandas as pd
 def calculate_percentage(*answers):
     yes_count = sum(answers)
     percentage = yes_count / len(answers) * 100
-    return f"{percentage}% Yes"
+    return f"{percentage}%"
 
 
 df = pd.read_csv("fmti_indicators.csv")
-questions = df["Definition"].tolist()
+grouped = df.groupby(["Category", "Subcategory"])
 
-inputs = [gr.Checkbox(label=question) for question in questions]
-output = gr.Textbox()
+interfaces = []
+tab_names = []
+for (category, subcategory), group in grouped:
+    questions = group["Definition"].tolist()
+    inputs = [gr.Checkbox(label=question) for question in questions]
+    output = gr.Textbox()
+    iface = gr.Interface(
+        fn=calculate_percentage,
+        inputs=inputs,
+        outputs=output,
+        title=f"{category} - {subcategory}",
+    )
+    interfaces.append(iface)
+    tab_names.append(subcategory)
 
-iface = gr.Interface(fn=calculate_percentage, inputs=inputs, outputs=output)
-iface.launch()
+tabbed_interface = gr.TabbedInterface(
+    interface_list=interfaces,
+    tab_names=tab_names,
+    title="The Foundation Model Transparency Index",
+)
+tabbed_interface.launch()