Update app.py

app.py

@@ -112,12 +112,16 @@ def prepare_dashboard_data(df):
 def display_dashboard(df):
     top_companies, top_locations, top_job_titles, df_by_date = prepare_dashboard_data(df)
     
+    today = datetime.now().date()
+    jobs_today = df[df['date_posted'].dt.date == today].shape[0]
+    
     col1, col2 = st.columns(2)
 
     with col1:
         st.subheader("Job Postings Overview")
         st.metric("Total Job Postings", len(df))
         st.metric("Unique Companies", df['company'].nunique())
+        st.metric("Job Postings Today", jobs_today)
 
         min_date = df['date_posted'].min().date()
         max_date = df['date_posted'].max().date()
@@ -140,18 +144,6 @@ def display_dashboard(df):
     with col4:
         fig = create_chart(top_job_titles, top_job_titles.index, top_job_titles.values, "Top 20 Job Titles", ['#59a14f'])
         st.plotly_chart(fig, use_container_width=True)
-
-@st.cache_data
-def filter_dataframe(df, companies, locations, job_types):
-    filtered_df = df
-    if companies:
-        filtered_df = filtered_df[filtered_df['company'].isin(companies)]
-    if locations:
-        filtered_df = filtered_df[filtered_df['location'].isin(locations)]
-    if job_types:
-        filtered_df = filtered_df[filtered_df['job_type'].isin(job_types)]
-    return filtered_df
-
 def display_data_explorer(df):
     st.subheader("Data Explorer")