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Update app.py
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app.py
CHANGED
@@ -45,34 +45,35 @@ with gr.Blocks(theme=gr.themes.Default(text_size=gr.themes.sizes.text_md)) as de
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with gr.Row():
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num1 = gr.Number(value=0, container=False, show_label=False, visible=False)
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num2 = gr.Number(value=0, container=False, show_label=False, visible=False)
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gr.Markdown(
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''' ## Today's Scores
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with gr.Row():
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num1 = gr.Number(value=0, container=False, show_label=False, visible=False)
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num2 = gr.Number(value=0, container=False, show_label=False, visible=False)
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with gr.Column(scale=3):
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placeholder = gr.Markdown(
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''' ## Welcome to the Language Model Explanation Challenge!
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Language Models (LMs) are powerful AI tools to understand and generate human language.<br />
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However, they sometimes make mistakes... and it's hard to know why!<br /><br />
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Are *humans* or *machines* better at understanding language?<br />
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→ Play a game against AI to find out!<br /><br />
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Does AI think like you or not at all?<br />
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→ Check out the color highlighting to see which parts of the sentence are more important for the machine.<br /><br />
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Can you outsmart the AI?<br />
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→ Try to write a text that will trick it into the wrong decision<br /><br />
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Choose one of the three tasks below ... and start to play!
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'''
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#* **Like or Dislike** provides a movie/food/book review. You (and AI) are required to guess its score.
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#The one with the correct or close answer win the score.
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#* **Human or Machine** provides a paragraph. You (and AI) need to judge if it is written by humans or machines.
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#The one with the correct or close answer win the score.
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#* **Man or Woman** allows you to write a text.
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#If you could successfully trick the AI into guessing the wrong gender, you get the score.
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)
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with gr.Column(scale=2):
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logo = gr.Image('logo.png', height=230, width=600, min_width=80, show_label=False, show_share_button=False, interactive=False, container=False)
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gr.Markdown(
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''' ## Today's Scores
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