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ce84560
1
Parent(s):
016995c
Default a fun building date example. Finally fix title!
Browse files
app.py
CHANGED
@@ -263,7 +263,7 @@ def predict_gender_pronouns(
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)
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-
title = "
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description = """
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<h2> Intro </h2>
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@@ -366,12 +366,12 @@ no_job_example = [
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'Born in DATE, she was a happy child. Her family raised her in a loving environment where she thrived.',
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]
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-
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-
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['birth_date'],
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[1.5],
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-
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'
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]
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@@ -380,31 +380,31 @@ gr.Interface(
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fn=predict_gender_pronouns,
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inputs=[
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gr.inputs.Number(
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default=
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label="Number of points (years) plotted -- select fewer if slow.",
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),
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gr.inputs.CheckboxGroup(
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CONDITIONING_VARIABLES,
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default=["
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type="value",
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label="(1) Pick conditioning variable included in text during fine-tuning.",
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),
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gr.inputs.CheckboxGroup(
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FEMALE_WEIGHTS,
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default=[5],
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type="value",
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label="(2) Pick loss function weight placed on female predictions during fine-tuning.",
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),
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gr.inputs.CheckboxGroup(
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BERT_LIKE_MODELS,
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default=
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type="value",
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label="(Optional) Pick
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),
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gr.inputs.Textbox(
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lines=7,
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label="Input Text: Include one or more instance of the word 'DATE' below (to be replaced with a range of `{dates}` in demo), and one or more gender pronoun (to be `[MASK]`ed for prediction).",
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default="
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),
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],
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outputs=[
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@@ -430,5 +430,5 @@ gr.Interface(
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title=title,
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description=description,
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article=article,
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examples=[ceo_example, death_date_example, no_job_example,
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).launch()
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)
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+
title = "Causing Gender Pronouns"
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description = """
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<h2> Intro </h2>
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'Born in DATE, she was a happy child. Her family raised her in a loving environment where she thrived.',
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]
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+
coder_example = [
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20,
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['none', 'birth_date'],
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[1.5],
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['bert'],
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'Born in DATE, she was a computer scientist. Her work was greatly respected, and she was well-regarded in her field.'
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]
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fn=predict_gender_pronouns,
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inputs=[
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gr.inputs.Number(
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default=20,
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label="Number of points (years) plotted -- select fewer if slow.",
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),
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gr.inputs.CheckboxGroup(
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CONDITIONING_VARIABLES,
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+
default=["birth_date"],
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type="value",
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label="(1) Pick conditioning variable included in text during fine-tuning.",
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),
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gr.inputs.CheckboxGroup(
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FEMALE_WEIGHTS,
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+
default=[1.5],
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type="value",
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label="(2) Pick loss function weight placed on female predictions during fine-tuning.",
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),
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gr.inputs.CheckboxGroup(
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BERT_LIKE_MODELS,
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default=BERT_LIKE_MODELS,
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type="value",
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label="(Optional) Pick BERT-like base uncased model for comparison.",
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),
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gr.inputs.Textbox(
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lines=7,
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label="Input Text: Include one or more instance of the word 'DATE' below (to be replaced with a range of `{dates}` in demo), and one or more gender pronoun (to be `[MASK]`ed for prediction).",
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+
default="She always walked past the building built in DATE on her way to her job as an elementary school teacher.",
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),
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],
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outputs=[
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title=title,
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description=description,
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article=article,
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+
examples=[ceo_example, death_date_example, no_job_example, coder_example]
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).launch()
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