romanbredehoft-zama commited on
Commit
e3103dd
1 Parent(s): cb3c1a3

Improving some wording

Browse files
Files changed (2) hide show
  1. app.py +8 -9
  2. backend.py +1 -1
app.py CHANGED
@@ -63,21 +63,20 @@ with demo:
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  gr.Markdown("## Step 2: Fill in some information.")
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  gr.Markdown(
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  """
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- Select any information that corresponds to the profile you want to evaluate. Three
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- dissociated parties are represented :
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- - the user, which provides some personal information in order to evaluate its credit card
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- eligibility
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- - the user's bank, which provides any of the user's banking information relevant to the
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- decision
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- - a third party, which represents any other party (here, the user's employer) that could
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- provide any information relevant to the decision
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  """
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  )
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  with gr.Row():
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  with gr.Column():
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  gr.Markdown("### User")
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- bool_inputs = gr.CheckboxGroup(["Car", "Property", "Work phone", "Phone", "Email"], label="What do you own ?")
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  num_children = gr.Slider(**CHILDREN_MIN_MAX, step=1, label="Number of children", info="How many children do you have ?")
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  household_size = gr.Slider(**FAMILY_MIN_MAX, step=1, label="Household size", info="How many members does your household have? ?")
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  total_income = gr.Slider(**INCOME_MIN_MAX, label="Income", info="What's you total yearly income (in euros) ?")
 
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  gr.Markdown("## Step 2: Fill in some information.")
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  gr.Markdown(
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  """
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+ Select the information that corresponds to the profile you want to evaluate. Three sources
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+ of information are represented in this model:
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+ - a user's personal information in order to evaluate his/her credit card eligibility;
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+ - the user’s bank account history, which provides any type of information on the user's
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+ banking information relevant to the decision (here, we consider duration of account);
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+ - and third party information, which represents any other information (here, employment
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+ history) that could provide additional insight relevant to the decision.
 
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  """
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  )
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  with gr.Row():
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  with gr.Column():
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  gr.Markdown("### User")
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+ bool_inputs = gr.CheckboxGroup(["Car", "Property", "Work phone", "Phone", "Email"], label="Which of the following do you actively hold or own?")
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  num_children = gr.Slider(**CHILDREN_MIN_MAX, step=1, label="Number of children", info="How many children do you have ?")
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  household_size = gr.Slider(**FAMILY_MIN_MAX, step=1, label="Household size", info="How many members does your household have? ?")
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  total_income = gr.Slider(**INCOME_MIN_MAX, label="Income", info="What's you total yearly income (in euros) ?")
backend.py CHANGED
@@ -422,4 +422,4 @@ def decrypt_output(client_id):
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  output = numpy.argmax(output_proba, axis=1).squeeze()
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  # A "0" output means approving the credit card has low risk, while "1" is high risk
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- return "Credit card has been approved ✅" if output == 0 else "Credit card has been rejected ❌"
 
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  output = numpy.argmax(output_proba, axis=1).squeeze()
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  # A "0" output means approving the credit card has low risk, while "1" is high risk
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+ return "Credit card is likely to be approved ✅" if output == 0 else "Credit card is likely to be denied ❌"