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import streamlit as st
import pandas as pd
# Dictionary containing materials, classes, and their properties
materials_data = {
"Metals": {
"Iron": {"Density (g/cm³)": 7.87, "Melting Point (°C)": 1538, "Conductivity (S/m)": 1.0e7},
"Aluminum": {"Density (g/cm³)": 2.7, "Melting Point (°C)": 660.3, "Conductivity (S/m)": 3.77e7},
"Copper": {"Density (g/cm³)": 8.96, "Melting Point (°C)": 1085, "Conductivity (S/m)": 5.96e7},
},
"Non-metals": {
"Carbon": {"Density (g/cm³)": 2.26, "Melting Point (°C)": 3550, "Conductivity (S/m)": 0.0},
"Sulfur": {"Density (g/cm³)": 2.07, "Melting Point (°C)": 115.2, "Conductivity (S/m)": 0.0},
},
"Metalloids": {
"Silicon": {"Density (g/cm³)": 2.33, "Melting Point (°C)": 1414, "Conductivity (S/m)": 1.56e-3},
"Boron": {"Density (g/cm³)": 2.34, "Melting Point (°C)": 2076, "Conductivity (S/m)": 0.0},
},
"Ceramics": {
"Porcelain": {"Density (g/cm³)": 2.4, "Melting Point (°C)": 1200, "Conductivity (S/m)": 0.0},
"Zirconia": {"Density (g/cm³)": 5.68, "Melting Point (°C)": 2715, "Conductivity (S/m)": 0.0},
},
"Polymers": {
"Polyethylene": {"Density (g/cm³)": 0.94, "Melting Point (°C)": 115, "Conductivity (S/m)": 0.0},
"PVC": {"Density (g/cm³)": 1.38, "Melting Point (°C)": 212, "Conductivity (S/m)": 0.0},
},
"Alloys": {
"Brass": {"Density (g/cm³)": 8.6, "Melting Point (°C)": 930, "Conductivity (S/m)": 1.5e7},
"Steel": {"Density (g/cm³)": 7.85, "Melting Point (°C)": 1370, "Conductivity (S/m)": 6.1e6},
},
}
# Streamlit app UI
st.title("Material Selection Tool")
st.sidebar.header("Select Material Class and Properties")
# User input for selecting material class
material_class = st.sidebar.selectbox("Select Material Class", options=materials_data.keys())
if material_class:
# User input for selecting specific material
material = st.sidebar.selectbox("Select Material", options=materials_data[material_class].keys())
# Display properties of the selected material
if material:
st.subheader(f"Properties of {material}")
properties = materials_data[material_class][material]
df = pd.DataFrame.from_dict(properties, orient="index", columns=["Value"])
df["Units"] = ["g/cm³", "°C", "S/m"] # Example units
st.table(df)
# Allow users to download data as CSV
csv = df.to_csv().encode("utf-8")
st.download_button(
label="Download Properties as CSV",
data=csv,
file_name=f"{material}_properties.csv",
mime="text/csv",
)
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