Add exclude list functionality to compute_offer function

app.py

@@ -17,7 +17,8 @@ list_iface = gr.Interface(fn=compute_offer,
                     gr.Slider(1, 365, value=30, step=1, label="Days", info="Number of days to look back"),
                     gr.Slider(5000, 100000, value=15000, step=1, label="Minimum Sent", info="Minimum number of emails sent"),
                     gr.Dropdown(["Comcast", "Yahoo", "Hotmail", "Aol"], value="Comcast", label="Domain"),
-                    gr.Radio(["Newsletters", "Offers"], label="Type", value="Newsletters")],
+                    gr.Radio(["Newsletters", "Offers"], label="Type", value="Newsletters"),
+                    gr.Textbox(label="Exclude list", info="Example: INH,MNP", value="INH")],
             outputs="dataframe")
 
 # PLOTTING

utils/gradio_utils.py

@@ -246,7 +246,7 @@ def _limit_chars(input_string: str, limit: int = 35) -> str:
     return input_string[:limit]
 
 ### GENERATE TOP LISTS ###
-def compute_offer(csv_file, days_lookback, min_sent, domain, offer_type):
+def compute_offer(csv_file, days_lookback, min_sent, domain, offer_type, x_list):
     pd.set_option('display.max_colwidth', 10)
     # cmp_list = ['MSP', 'HOM', 'NTU', 'HCK', 'DDS', 'MNP', 'PSC', 'DTL', 'GVS', 'ANP', 'WDR', 'BSG']   #1
 
@@ -279,6 +279,10 @@ def compute_offer(csv_file, days_lookback, min_sent, domain, offer_type):
                                 (df_all['Nume'].str.contains(r' \d{4}$'))]
     elif offer_type == "Offers":
         df_all = df_all[~df_all['Nume'].str.startswith("Aeon News")]
+
+    if x_list != "":
+        x_list = x_list.split(',')
+        df_all = df_all[~df_all['Nume'].str.contains('|'.join(x_list))]
     # Compress the newsletter names
     # df_all = df_all[df_all['Nume'].str.contains(r'\b[A-Z]{3}\b.*\b\d{4}\*?\s*(\(\d{4}\))?\b')]
     # df_all['Nume'] = df_all['Nume'].apply(_replace_numbers)