demo app

app.py

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+import streamlit as st
+import pandas as pd
+
+# Load the data
+@st.cache
+def load_data():
+    data_url = 'https://phewascatalog.org/files/Phecode_map_v1_2_icd10cm_beta.csv'
+    data = pd.read_csv(data_url, encoding='ISO-8859-1')
+    return data
+
+data = load_data()
+
+# Search functionality
+def search_data(data, query, columns):
+    return data[data[columns].apply(lambda x: query.lower() in str(x).lower(), axis=1)]
+
+# Get the search query and the selected columns from the user
+search_query = st.text_input("Search query", "")
+search_columns = st.multiselect("Search in columns", data.columns.tolist(), default=data.columns.tolist())
+
+# Filter the data
+filtered_data = search_data(data, search_query, search_columns)
+
+# Pagination
+page_size = 25
+page_number = st.number_input(label="Page Number", min_value=1, max_value=len(filtered_data)//page_size, step=1)
+
+# Display the data
+st.write(filtered_data.iloc[page_size*(page_number-1):page_size*page_number])