Update app.py

app.py

@@ -7,7 +7,7 @@ from datetime import datetime, timedelta
 import time
 import pyarrow as pa
 import pyarrow.parquet as pq
-
+import math
 # Set page config for a wider layout and custom theme
 st.set_page_config(layout="wide", page_title="Job Listings Dashboard")
 
@@ -173,7 +173,7 @@ def display_data_explorer(df):
 
     if show_all == "Filtered Data":
         unique_values = get_unique_values(df)
-        col1, col2, col3,col4 = st.columns(4)
+        col1, col2, col3, col4 = st.columns(4)
         with col1:
             companies = st.multiselect("Select Companies", options=unique_values['companies'])
         with col2:
@@ -183,19 +183,36 @@ def display_data_explorer(df):
         with col4:
             Role_type = st.multiselect("Select Role Types", options=unique_values['Role_Name'])
         
-        filtered_df = filter_dataframe(df, companies, locations, job_types,Role_type)
+        filtered_df = filter_dataframe(df, companies, locations, job_types, Role_type)
     else:
         filtered_df = df
 
     st.write(f"Showing {len(filtered_df)} job listings")
     
+    # Pagination
+    items_per_page = 15
+    num_pages = math.ceil(len(filtered_df) / items_per_page)
+    
+    col1, col2, col3 = st.columns([1, 3, 1])
+    with col2:
+        page = st.number_input("Page", min_value=1, max_value=num_pages, value=1)
+    
+    start_idx = (page - 1) * items_per_page
+    end_idx = start_idx + items_per_page
+    
+    page_df = filtered_df.iloc[start_idx:end_idx]
+    
     def make_clickable(url):
         return f'<a href="{url}" target="_blank" style="color: #4e79a7;">Link</a>'
 
-    filtered_df['job_url'] = filtered_df['job_url'].apply(make_clickable)
-    filtered_df['company_url'] = filtered_df['company_url'].apply(make_clickable)
+    page_df['job_url'] = page_df['job_url'].apply(make_clickable)
+    page_df['company_url'] = page_df['company_url'].apply(make_clickable)
 
-    st.write(filtered_df.to_html(escape=False, index=False), unsafe_allow_html=True)
+    st.write(page_df.to_html(escape=False, index=False), unsafe_allow_html=True)
+    
+    col1, col2, col3 = st.columns([1, 3, 1])
+    with col2:
+        st.write(f"Page {page} of {num_pages}")
 def display_about_page():
     st.markdown("""
     ## What is this application?