app.py

import gradio as gr
import pandas as pd

# Initialize total counts
total_yes_count = 0
total_count = 0


def calculate_percentage(*answers):
    """
    Calculate the percentage of 'yes' answers.

    :param answers: Iterable containing the answers.
    :returns: Percentage of 'yes' answers.
    """
    global total_yes_count, total_count
    yes_count = sum(answers)
    total_yes_count += yes_count
    total_count += len(answers)
    percentage = yes_count / len(answers) * 100
    return f"{percentage}%"


def calculate_overall_percentage():
    """
    Calculate the overall percentage of 'yes' answers.

    :returns: Overall percentage of 'yes' answers.
    """
    global total_yes_count, total_count
    if total_count != 100:
        return "Make sure you have submitted your answers in all the tabs."
    overall_percentage = total_yes_count
    return f"{overall_percentage}%"


# Load data
df = pd.read_csv("fmti-indicators.csv")
grouped = df.groupby(["Domain", "Subdomain"])

# Create an interface per group of indicators
interfaces = []
tab_names = []
for (domain, subdomain), group in grouped:
    questions = group["Definition"].tolist()
    inputs = [gr.Checkbox(label=question) for question in questions]
    output = gr.Textbox(label="Subdomain Percentage")
    iface = gr.Interface(
        fn=calculate_percentage,
        inputs=inputs,
        outputs=output,
        title=f"{domain} - {subdomain}",
        allow_flagging="never",
    )
    interfaces.append(iface)
    tab_names.append(subdomain)

# Add overall percentage button
overall_button = gr.Interface(
    fn=calculate_overall_percentage,
    inputs=[],
    outputs=gr.Textbox(label="Overall Percentage"),
    title="Transparency Score",
    allow_flagging="never",
)
interfaces.append(overall_button)
tab_names.append("Total Transparency Score")

# Create the tabbed interface
tabbed_interface = gr.TabbedInterface(
    interface_list=interfaces,
    tab_names=tab_names,
    title="The Foundation Model Transparency Index",
)
tabbed_interface.launch()