Update app.py

app.py

@@ -0,0 +1,43 @@
+import streamlit as st
+import pandas as pd
+
+# Load materials data
+@st.cache
+def load_data():
+    # This data should be preprocessed and saved as a CSV for properties and materials
+    data = pd.read_csv('materials_properties.csv')
+    return data
+
+# Title
+st.title("Material Selector App")
+st.sidebar.title("Material Filters")
+
+# Load data
+data = load_data()
+
+# Filters
+st.sidebar.header("Filter by Class")
+material_class = st.sidebar.selectbox("Select Material Class", data['Class'].unique())
+
+st.sidebar.header("Filter by Properties")
+property_filter = st.sidebar.multiselect("Select Properties to Filter", data.columns[2:], default=[])
+
+# Filter data based on selection
+filtered_data = data[data['Class'] == material_class]
+if property_filter:
+    filtered_data = filtered_data[property_filter + ['Material', 'Class']]
+
+# Show filtered data
+st.subheader("Filtered Materials")
+st.write(filtered_data)
+
+# Download filtered data
+st.sidebar.download_button(
+    label="Download Filtered Data as CSV",
+    data=filtered_data.to_csv(index=False),
+    file_name='filtered_materials.csv',
+    mime='text/csv',
+)
+
+# Footer
+st.markdown("Powered by Streamlit and designed for Hugging Face deployment.")