Rename Account_length feature to Account_age

app.py

@@ -90,7 +90,7 @@ with demo:
 
         with gr.Column():
             gr.Markdown("### Bank ")
-            account_length = gr.Slider(**ACCOUNT_MIN_MAX, step=1, label="Account length", info="How long have this person had this account (in months) ?")
+            account_age = gr.Slider(**ACCOUNT_MIN_MAX, step=1, label="Account age (months)", info="How long have this person had this bank account (in months) ?")
 
         with gr.Column():
             gr.Markdown("### Third party ")
@@ -193,7 +193,7 @@ with demo:
     # side to the server
     encrypt_button_bank.click(
         pre_process_encrypt_send_bank,
-        inputs=[client_id, account_length],
+        inputs=[client_id, account_age],
         outputs=[encrypted_input_bank],
     )
 

backend.py

@@ -290,9 +290,9 @@ def pre_process_encrypt_send_bank(client_id, *inputs):
         (int, bytes): Integer ID representing the current client and a byte short representation of 
             the encrypted input to send. 
     """
-    account_length = inputs[0]
+    account_age = inputs[0]
     
-    return _encrypt_send(client_id, account_length, "bank")
+    return _encrypt_send(client_id, account_age, "bank")
     
 
 def pre_process_encrypt_send_third_party(client_id, *inputs):

data/data.csv

@@ -1,4 +1,4 @@
-Own_car,Own_property,Work_phone,Phone,Email,Salaried,Num_children,Household_size,Account_length,Total_income,Age,Years_employed,Income_type,Education_type,Family_status,Housing_type,Occupation_type,Target
+Own_car,Own_property,Work_phone,Phone,Email,Salaried,Num_children,Household_size,Account_age,Total_income,Age,Years_employed,Income_type,Education_type,Family_status,Housing_type,Occupation_type,Target
 1,1,1,0,0,1,0,2,15,59850.00000000001,32.86857361889703,12.4355736257418,Working,Higher education,Civil marriage,Rented apartment,Other,1
 1,1,0,0,0,1,0,2,29,15750.000000000002,58.79381506807121,3.104786545924968,Working,Secondary / secondary special,Married,House / apartment,Security staff,0
 0,1,0,1,1,1,0,1,4,37800.0,52.32140290355038,8.353354278321937,Commercial associate,Secondary / secondary special,Single / not married,House / apartment,Sales staff,0

deployment_files/client.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c0a655d225d0f31642c20c8f3e5537505b6b6904ad8af7636631024cf6e18b6
-size 76383
+oid sha256:b698501c432ade8d406a3d83fcff9a86ed59a4c693116d14b72815602b04b1d9
+size 75886

deployment_files/server.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e5570f7dfda2d5ced4a6bd411d9d2eba67b8bcbd523efac803be66abd4368a99
-size 3321
+oid sha256:73e247b96ac6325fde795f2f6e6c8cd43946b5e5979421845283871bb8e0475e
+size 3356

settings.py

@@ -50,7 +50,7 @@ USER_COLUMNS = [
     'Total_income', 'Age', 'Income_type', 'Education_type', 'Family_status', 'Housing_type', 
     'Occupation_type',
 ]
-BANK_COLUMNS = ["Account_length"]
+BANK_COLUMNS = ["Account_age"]
 THIRD_PARTY_COLUMNS = ["Years_employed", "Salaried"]
 
 _data = pandas.read_csv(DATA_PATH, encoding="utf-8")
@@ -63,7 +63,7 @@ def get_min_max(data, column):
     }
 
 # App data min and max values
-ACCOUNT_MIN_MAX = get_min_max(_data, "Account_length")
+ACCOUNT_MIN_MAX = get_min_max(_data, "Account_age")
 CHILDREN_MIN_MAX = get_min_max(_data, "Num_children")
 INCOME_MIN_MAX = get_min_max(_data, "Total_income")
 AGE_MIN_MAX = get_min_max(_data, "Age")