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import streamlit as st
import math
import numpy as np
import matplotlib.pyplot as plt
# Set page configuration
st.set_page_config(
page_title="Pipe Size Calculator",
page_icon="💧",
layout="centered",
initial_sidebar_state="expanded",
)
# Sidebar for input and app information
st.sidebar.title("Pipe Size Calculator 💧")
st.sidebar.markdown(
"""
Calculate the **recommended pipe diameter** based on:
- Flow Rate (\( Q \)) in cubic meters per second.
- Velocity (\( V \)) in meters per second.
Also visualize pipe diameters over a range of flow rates and velocities. 🌊
"""
)
# Main application title
st.title("💧 Pipe Size Calculator")
# Add layout with two columns
col1, col2 = st.columns(2)
# Input section
with col1:
st.header("Input Parameters")
flow_rate = st.number_input(
"Enter Flow Rate (m³/s):",
min_value=0.0,
step=0.01,
format="%.2f"
)
velocity = st.number_input(
"Enter Velocity (m/s):",
min_value=0.0,
step=0.01,
format="%.2f"
)
# Add a button to calculate the diameter
with col2:
st.header("Action")
if st.button("Generate Pipe Diameter"):
if flow_rate > 0 and velocity > 0:
# Calculate pipe diameter
diameter = math.sqrt((4 * flow_rate) / (math.pi * velocity))
diameter_cm = diameter * 100 # Convert to cm for better readability
# Display results in success box
st.success(
f"Recommended Pipe Diameter: \n"
f"- **{diameter:.4f} meters** \n"
f"- **{diameter_cm:.2f} centimeters**"
)
else:
# Warning for invalid input
st.error("Please enter positive values for both flow rate and velocity.")
else:
st.info("Click the button to calculate the pipe diameter.")
# Graphical visualization
st.header("Graphical Visualization 📊")
st.markdown(
"""
Visualize how pipe diameter varies with different **flow rates** and **velocities**.
"""
)
# User input for visualization range
col3, col4 = st.columns(2)
with col3:
flow_rate_range = st.slider(
"Select Flow Rate Range (m³/s):",
min_value=0.1,
max_value=5.0,
value=(0.5, 2.5),
step=0.1
)
with col4:
velocity_range = st.slider(
"Select Velocity Range (m/s):",
min_value=0.1,
max_value=10.0,
value=(1.0, 5.0),
step=0.5
)
# Generate and plot graph
flow_rates = np.linspace(flow_rate_range[0], flow_rate_range[1], 50)
velocities = np.linspace(velocity_range[0], velocity_range[1], 50)
flow_grid, velocity_grid = np.meshgrid(flow_rates, velocities)
diameter_grid = np.sqrt((4 * flow_grid) / (np.pi * velocity_grid)) * 100 # Diameter in cm
fig, ax = plt.subplots(figsize=(8, 6))
contour = ax.contourf(flow_grid, velocity_grid, diameter_grid, cmap="coolwarm")
cbar = fig.colorbar(contour, ax=ax)
cbar.set_label("Pipe Diameter (cm)")
ax.set_title("Pipe Diameter vs. Flow Rate and Velocity")
ax.set_xlabel("Flow Rate (m³/s)")
ax.set_ylabel("Velocity (m/s)")
ax.grid(True)
st.pyplot(fig)
# Footer with additional info
st.sidebar.markdown("---")
st.sidebar.markdown(
"""
**Note:** Ensure flow rate and velocity are within realistic ranges for best results. 🌟
Created with ❤️ using [Streamlit](https://streamlit.io).
"""
)
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