Update app.py

app.py

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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",
+        )
+