Update app.py

app.py

@@ -24,31 +24,27 @@ if uploaded_file:
     # Sidebar Filters
     st.sidebar.header("Filter Options")
 
-    # Dropdown for Customer Selection
-    customer_list = df['CUSTOMER_NAME'].dropna().unique().tolist()
-    customer_list.sort()
-    customer_query = st.sidebar.selectbox('Select Customer:', options=["All"] + customer_list)
-
-    # Dropdown for Product Selection
-    product_list = df['DESCRIPTION'].dropna().unique().tolist()
-    product_list.sort()
-    product_query = st.sidebar.selectbox('Select Product:', options=["All"] + product_list)
+    # Text Input for Customer and Product
+    customer_query = st.sidebar.text_input('Enter Customer Name (partial or full):').strip().lower()
+    product_query = st.sidebar.text_input('Enter Product Name (partial or full):').strip().lower()
 
     # Date Range Selection
     start_date = st.sidebar.date_input('Start Date:', df['INVOICE_DATE'].min())
     end_date = st.sidebar.date_input('End Date:', df['INVOICE_DATE'].max())
 
-    # Filter Data
+    # Filter Data by Date Range
     filtered_df = df[
         (df['INVOICE_DATE'] >= pd.to_datetime(start_date)) &
         (df['INVOICE_DATE'] <= pd.to_datetime(end_date))
     ]
 
-    if customer_query != "All":
-        filtered_df = filtered_df[filtered_df['CUSTOMER_NAME'] == customer_query]
+    # Filter Data by Customer Name
+    if customer_query:
+        filtered_df = filtered_df[filtered_df['CUSTOMER_NAME'].str.contains(customer_query, case=False, na=False)]
 
-    if product_query != "All":
-        filtered_df = filtered_df[filtered_df['DESCRIPTION'] == product_query]
+    # Filter Data by Product Name
+    if product_query:
+        filtered_df = filtered_df[filtered_df['DESCRIPTION'].str.contains(product_query, case=False, na=False)]
 
     # Display Filtered Data
     st.write(f"Filtered Data: {len(filtered_df)} records found.")