Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+import plotly.express as px
+
+# Load the data
+def load_data():
+    file_path = 'digital_identity_data.xlsx'
+    return pd.read_excel(file_path)
+
+data = load_data()
+
+# Function for filtering data
+def filter_data(countries, genders, statuses):
+    filtered_data = data[
+        (data["Country"].isin(countries)) &
+        (data["Gender"].isin(genders)) &
+        (data["Account Status"].isin(statuses))
+    ]
+    return filtered_data
+
+# Function to generate visualizations
+def generate_dashboard(countries, genders, statuses):
+    filtered_data = filter_data(countries, genders, statuses)
+
+    # Logins by country
+    logins_by_country = filtered_data.groupby("Country")["Number of Logins"].sum().reset_index()
+    fig1 = px.bar(logins_by_country, x="Country", y="Number of Logins", title="Logins by Country", color="Country")
+
+    # Session duration by gender
+    session_duration_by_gender = filtered_data.groupby("Gender")["Session Duration (Minutes)"].mean().reset_index()
+    fig2 = px.bar(session_duration_by_gender, x="Gender", y="Session Duration (Minutes)", title="Session Duration by Gender", color="Gender")
+
+    # Data breaches by country
+    fig3 = px.pie(filtered_data, names="Country", values="Data Breaches Reported", title="Data Breaches by Country")
+
+    # 2FA usage
+    two_fa_usage = filtered_data["2FA Enabled"].value_counts().reset_index()
+    two_fa_usage.columns = ["2FA Enabled", "Count"]
+    fig4 = px.pie(two_fa_usage, names="2FA Enabled", values="Count", title="2FA Usage")
+
+    return filtered_data, fig1, fig2, fig3, fig4
+
+# Gradio Blocks app
+with gr.Blocks() as demo:
+    gr.Markdown("# Digital Identity Dashboard")
+
+    with gr.Row():
+        countries = gr.CheckboxGroup(choices=data["Country"].unique().tolist(), label="Select Countries", value=data["Country"].unique().tolist())
+        genders = gr.CheckboxGroup(choices=data["Gender"].unique().tolist(), label="Select Genders", value=data["Gender"].unique().tolist())
+        statuses = gr.CheckboxGroup(choices=data["Account Status"].unique().tolist(), label="Select Account Status", value=data["Account Status"].unique().tolist())
+
+    with gr.Row():
+        filtered_data_table = gr.Dataframe(label="Filtered Data")
+
+    with gr.Row():
+        fig1_display = gr.HTML(label="Logins by Country")
+        fig2_display = gr.HTML(label="Session Duration by Gender")
+
+    with gr.Row():
+        fig3_display = gr.HTML(label="Data Breaches by Country")
+        fig4_display = gr.HTML(label="2FA Usage")
+
+    def update_dashboard(countries, genders, statuses):
+        filtered_data, fig1, fig2, fig3, fig4 = generate_dashboard(countries, genders, statuses)
+        return (
+            filtered_data,
+            fig1.to_html(),
+            fig2.to_html(),
+            fig3.to_html(),
+            fig4.to_html()
+        )
+
+    update_button = gr.Button("Update Dashboard")
+    update_button.click(
+        update_dashboard,
+        inputs=[countries, genders, statuses],
+        outputs=[filtered_data_table, fig1_display, fig2_display, fig3_display, fig4_display]
+    )
+
+demo.launch(debug=True, share=False)