Emily McMilin
commited on
Commit
·
c8a64af
1
Parent(s):
a458815
examples without occupations for gender nudge. break down directions more.
Browse files
app.py
CHANGED
@@ -297,7 +297,7 @@ place_example = [
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'PLACE',
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"False",
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1,
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-
'
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]
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date_example = [
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@@ -317,8 +317,8 @@ subreddit_example = [
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', '.join(SUBREDDITS),
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'SUBREDDIT',
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"False",
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-
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-
'I saw in r/SUBREDDIT that she
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]
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own_model_example = [
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@@ -387,8 +387,8 @@ with demo:
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)
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-
gr.Markdown(
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-
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with gr.Row():
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model_name = gr.Radio(
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@@ -401,7 +401,8 @@ with demo:
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)
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gr.Markdown("D) Pick if you want to the predictions normalied to these gendered terms only.")
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-
gr.Markdown("E) Also tell the demo what special token you will use in your input text, that you would like replaced with the spectrum of values you listed above
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with gr.Row():
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'PLACE',
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"False",
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1,
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+
'She was raised in PLACE.'
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]
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date_example = [
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', '.join(SUBREDDITS),
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'SUBREDDIT',
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"False",
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+
1,
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'I saw in r/SUBREDDIT that she was born in 1911.'
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]
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own_model_example = [
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)
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+
gr.Markdown("B) Pick a pre-loaded BERT-family model of interest on the right.")
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+
gr.Markdown(f"Or C) select `{OWN_MODEL_NAME}`, then add the mame of any other Hugging Face model that supports the [fill-mask](https://huggingface.co/models?pipeline_tag=fill-mask) task on the right (note: this may take some time to load).")
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with gr.Row():
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model_name = gr.Radio(
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)
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gr.Markdown("D) Pick if you want to the predictions normalied to these gendered terms only.")
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+
gr.Markdown("E) Also tell the demo what special token you will use in your input text, that you would like replaced with the spectrum of values you listed above.")
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gr.Markdown("And F) the degree of polynomial fit used for high-lighting possible dose response trend.")
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with gr.Row():
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