Create app.py

app.py

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+import math
+import gradio as gr
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Function to calculate BRI
+def calculate_bri(height, waist):
+    # Convert height and waist to meters
+    height_m = height / 100
+    waist_m = waist / 100
+    
+    # Formula to calculate BRI
+    bri = 364.2 - 365.5 * math.sqrt(1 - (waist_m / height_m)**2)
+    return round(bri, 2)
+
+# Function to generate a body shape graph
+def plot_body_shape(bri):
+    fig, ax = plt.subplots(figsize=(5, 5))
+    
+    # Create a circular shape for the reference healthy range (green)
+    circle = plt.Circle((0.5, 0.5), 0.25, color='green', alpha=0.5, label="Healthy Range")
+    ax.add_artist(circle)
+    
+    # Scale the user's body shape based on BRI (black)
+    user_circle = plt.Circle((0.5, 0.5), min(bri / 20, 0.5), color='black', alpha=0.7, label="Your Body Shape")
+    ax.add_artist(user_circle)
+    
+    # Set plot parameters
+    ax.set_xlim(0, 1)
+    ax.set_ylim(0, 1)
+    ax.set_aspect('equal', 'box')
+    plt.legend()
+    plt.title("Body Shape with BRI Reference")
+    
+    # Save and return the plot
+    plt.savefig('/mnt/data/bri_plot.png')
+    return '/mnt/data/bri_plot.png'
+
+# Function to provide a summary
+def bri_summary(bri):
+    if bri < 6:
+        category = "Your body is relatively narrow, within a healthy range."
+    elif 6 <= bri < 10:
+        category = "Your body shape is slightly round, suggesting moderate fat accumulation."
+    elif 10 <= bri < 15:
+        category = "Your body is more round, and you may be at risk for cardiovascular issues."
+    else:
+        category = "Your body is significantly round, indicating a higher risk for health problems."
+
+    return f"BRI is a health metric that can assess your body shape and provide insights into potential health risks. Your BRI is {bri}, meaning {category}"
+
+# Gradio interface function
+def bri_calculator(height, waist):
+    bri_value = calculate_bri(height, waist)
+    summary = bri_summary(bri_value)
+    plot_path = plot_body_shape(bri_value)
+    
+    return summary, plot_path
+
+# Creating Gradio Interface
+interface = gr.Interface(
+    fn=bri_calculator,
+    inputs=[
+        gr.inputs.Number(label="Height (in cm)"),
+        gr.inputs.Number(label="Waist Circumference (in cm)")
+    ],
+    outputs=[
+        "text",
+        "image"
+    ],
+    title="BRI Calculator",
+    description=(
+        "The Body Roundness Index (BRI) is an innovative health metric that provides insight "
+        "into body shape based on height, waist, and hip circumference. "
+        "BRI ranges between 1 to 20, where 1 represents a narrow body and 20 indicates a more round shape. "
+        "This tool can give a better estimate of body fat distribution and potential health risks, such as cardiovascular disease."
+        "\n\nThe graph will display your body shape (in black) alongside a reference healthy body shape (in green). "
+        "The BRI is correlated with bioelectrical impedance measurements and can predict risks like coronary heart disease."
+    )
+)
+
+# Launch the interface
+interface.launch()