app.py

import streamlit as st
import math
import numpy as np
import plotly.graph_objects as go

# Streamlit App Title
st.title("Pipe Sizing Meter")
st.write("Calculate the recommended pipe diameter based on flow rate and permissible velocity.")

# Input Fields for Specific Flow Rate and Velocity
flow_rate = st.number_input("Enter the Flow Rate (m³/s):", min_value=0.0, step=0.01)
velocity = st.number_input("Enter the Permissible Flow Velocity (m/s):", min_value=0.0, step=0.01)

# Calculate and Display Specific Diameter
if flow_rate > 0 and velocity > 0:
    diameter = math.sqrt((4 * flow_rate) / (math.pi * velocity))
    st.success(f"Recommended Pipe Diameter: {diameter:.3f} meters")
else:
    st.warning("Please enter valid positive values for flow rate and velocity.")

# Visualization Section
st.header("Visualization: Pipe Diameter Across Flow Rate and Velocity Ranges")

# Input Ranges for Visualization
st.sidebar.header("Visualization Settings")
flow_rate_min = st.sidebar.number_input("Minimum Flow Rate (m³/s):", min_value=0.0, value=0.01)
flow_rate_max = st.sidebar.number_input("Maximum Flow Rate (m³/s):", min_value=0.0, value=1.0)
velocity_min = st.sidebar.number_input("Minimum Velocity (m/s):", min_value=0.1, value=0.1)
velocity_max = st.sidebar.number_input("Maximum Velocity (m/s):", min_value=0.1, value=5.0)

# Generate Data for Visualization
if flow_rate_min < flow_rate_max and velocity_min < velocity_max:
    flow_rates = np.linspace(flow_rate_min, flow_rate_max, 50)
    velocities = np.linspace(velocity_min, velocity_max, 50)
    flow_rate_grid, velocity_grid = np.meshgrid(flow_rates, velocities)

    # Calculate Diameters
    diameter_grid = np.sqrt((4 * flow_rate_grid) / (np.pi * velocity_grid))

    # Create 3D Surface Plot
    fig = go.Figure(data=[go.Surface(
        z=diameter_grid,
        x=flow_rate_grid,
        y=velocity_grid,
        colorscale='Viridis'
    )])
    fig.update_layout(
        title="Pipe Diameter vs Flow Rate and Velocity",
        scene=dict(
            xaxis_title="Flow Rate (m³/s)",
            yaxis_title="Velocity (m/s)",
            zaxis_title="Pipe Diameter (m)"
        )
    )

    # Display Plot
    st.plotly_chart(fig)
else:
    st.error("Ensure that maximum values are greater than minimum values for both flow rate and velocity.")