Add HTH to exclude list in app.py and compute_offer function

app.py

@@ -18,7 +18,7 @@ list_iface = gr.Interface(fn=compute_offer,
                     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.Textbox(label="Exclude list", info="Example: INH,MNP", value="INH,DHI,HHP,RTA,JVR")],
+                    gr.Textbox(label="Exclude list", info="Example: INH,MNP", value="INH,DHI,HHP,RTA,JVR,HTH")],
             outputs="dataframe")
 
 # PLOTTING

utils/gradio_utils.py

@@ -274,9 +274,12 @@ def compute_offer(csv_file, days_lookback, min_sent, domain, offer_type, x_list)
 
     # Filter for newsletters or offers
     if offer_type == "Newsletters":
-        df_all = df_all[df_all['Nume'].str.startswith("Aeon News") & \
-                                (~df_all['Nume'].str.contains(r'\(\d{4}\)')) & \
-                                (df_all['Nume'].str.contains(r' \d{4}$'))]
+        df_all = df_all[
+                        df_all['Nume'].str.startswith("Aeon News") & \
+                        (~df_all['Nume'].str.contains(r'\(\d{4}\)')) & \
+                        (df_all['Nume'].str.contains(r' \d{4}$')) & \
+                        (~df_all['Nume'].str.contains('TRIMITE'))
+                        ]
     elif offer_type == "Offers":
         df_all = df_all[~df_all['Nume'].str.startswith("Aeon News")]