app.py

import gradio as gr
import plotly.graph_objects as go

# Function to create a speedometer gauge
def success_rate_gauge(success_value):
    fig = go.Figure(go.Indicator(
        mode="gauge+number",
        value=success_value,
        gauge={'axis': {'range': [0, 100]},
               'bar': {'color': "green"},
               'steps': [
                   {'range': [0, 50], 'color': "red"},
                   {'range': [50, 75], 'color': "yellow"},
                   {'range': [75, 100], 'color': "green"}],
               'threshold': {'line': {'color': "black", 'width': 4}, 'thickness': 0.75, 'value': 76}}
    ))

    fig.update_layout(height=400, width=500)
    return fig

# Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("## Улучшенный спидометр с вероятностью успеха")

    # Plot output
    plot = gr.Plot(label="Success Rate Gauge")

    # Function to update the plot
    def update_plot():
        return success_rate_gauge(76)
    
    # Button to trigger the plot generation
    btn = gr.Button("Показать спидометр")
    
    # Associate the button with the update function
    btn.click(fn=update_plot, inputs=[], outputs=plot)

# Launch Gradio interface
demo.launch()