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deb8c69
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Parent(s):
beea541
Update app.py
Browse files
app.py
CHANGED
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@@ -51,10 +51,9 @@ with gr.Blocks(theme=gr.themes.Default(text_size=gr.themes.sizes.text_md)) as de
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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
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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
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-
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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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@@ -99,8 +98,8 @@ with gr.Blocks(theme=gr.themes.Default(text_size=gr.themes.sizes.text_md)) as de
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input_text = gr.Textbox(label="Review:", value="HELLO! Hallo!", visible=False, container=False)
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interpretation1 = gr.components.Interpretation(input_text)
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slider_1_1 = gr.Slider(label="
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user_important = gr.Textbox(label="Which words are
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with gr.Column(scale=1):
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gr.Markdown(
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@@ -118,9 +117,9 @@ 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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with gr.Column(scale=2):
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chat_button_1 = gr.Button("Click to see AI's
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slider_1_2 = gr.Slider(label="AI: Dislike
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interpre_button = gr.Button("See how AI
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placeholder_text = gr.Textbox(label="Review:", value="HELLO! Hallo!", visible=False)
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interpretation2 = gr.components.Interpretation(placeholder_text)
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with gr.Column(scale=1):
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@@ -129,7 +128,7 @@ with gr.Blocks(theme=gr.themes.Default(text_size=gr.themes.sizes.text_md)) as de
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gr.Markdown(''' *** ''')
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gr.Markdown(
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''' # Now try your own
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'''
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)
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@@ -137,12 +136,12 @@ with gr.Blocks(theme=gr.themes.Default(text_size=gr.themes.sizes.text_md)) as de
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with gr.Column(scale=2):
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text_written = gr.Textbox(label="Review: ", placeholder="Enter your own review about a movie/restaurant/book.", visible=True)
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# image_1_3 = gr.Image('icon_user.png', height=80, width=80, min_width=80, show_label=False, show_share_button=False, interactive=False)
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slider_1_3 = gr.Slider(label="
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lang_written = gr.Radio(["English", "Dutch"], label="Language:", info="In which language is the review written?")
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chat_button_2 = gr.Button("Click to see AI's
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placeholder_written_text = gr.Textbox(label="Review: ", value="HELLO! Hallo!", visible=False)
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interpretation4 = gr.components.Interpretation(placeholder_written_text)
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slider_1_4 = gr.Slider(label="AI: Dislike
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with gr.Column(scale=1):
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chatbot2 = gr.Chatbot(height=350, min_width=50, container=False) # height=300
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@@ -168,11 +167,11 @@ with gr.Blocks(theme=gr.themes.Default(text_size=gr.themes.sizes.text_md)) as de
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with gr.Column(scale=2):
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with gr.Row():
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# gr.Markdown(''' <p style="text-align: center;"> or </p> ''')
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sample_button_en_3 = gr.Button("Click to get a sentence
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input_text_mf = gr.Textbox(label="Sentence:", value="HELLO! Hallo!", visible=False, container=False)
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interpretation_mf_1 = gr.components.Interpretation(input_text_mf)
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slider_3_1 = gr.Slider(label="Human: Male ββ> Female", container=True, min_width=200, height=80, show_label=True, interactive=True)
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user_important_mf = gr.Textbox(label="Which words are
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with gr.Column(scale=1):
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gr.Markdown(
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''' ## Male or Female
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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 />
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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 />
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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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input_text = gr.Textbox(label="Review:", value="HELLO! Hallo!", visible=False, container=False)
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interpretation1 = gr.components.Interpretation(input_text)
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slider_1_1 = gr.Slider(label="Your rating: Dislike(0) β> Like(100)", container=True, min_width=200, height=80, show_label=True, interactive=True)
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user_important = gr.Textbox(label="Which words are your guesses based on?", placeholder="Enter words that you think are important for the task")
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with gr.Column(scale=1):
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gr.Markdown(
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with gr.Row():
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with gr.Column(scale=2):
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chat_button_1 = gr.Button("Click to see AI's rating", size='sm')
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slider_1_2 = gr.Slider(label="AI rating: Dislike(0) β> Like(100)", container=True, min_width=200, height=80, show_label=True, interactive=True)
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interpre_button = gr.Button("See how AI got its rating", size='sm')
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placeholder_text = gr.Textbox(label="Review:", value="HELLO! Hallo!", visible=False)
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interpretation2 = gr.components.Interpretation(placeholder_text)
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with gr.Column(scale=1):
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gr.Markdown(''' *** ''')
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gr.Markdown(
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''' # Now try with your own review!
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'''
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)
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with gr.Column(scale=2):
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text_written = gr.Textbox(label="Review: ", placeholder="Enter your own review about a movie/restaurant/book.", visible=True)
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# image_1_3 = gr.Image('icon_user.png', height=80, width=80, min_width=80, show_label=False, show_share_button=False, interactive=False)
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slider_1_3 = gr.Slider(label="Your rating: Dislike(0) β> Like(100)", container=True, min_width=200, height=80, show_label=True, interactive=True)
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lang_written = gr.Radio(["English", "Dutch"], label="Language:", info="In which language is the review written?")
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chat_button_2 = gr.Button("Click to see AI's rating", size='sm')
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placeholder_written_text = gr.Textbox(label="Review: ", value="HELLO! Hallo!", visible=False)
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interpretation4 = gr.components.Interpretation(placeholder_written_text)
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slider_1_4 = gr.Slider(label="AI rating: Dislike(0) β> Like(100)", container=True, min_width=200, height=80, show_label=True, interactive=True)
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with gr.Column(scale=1):
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chatbot2 = gr.Chatbot(height=350, min_width=50, container=False) # height=300
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with gr.Column(scale=2):
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with gr.Row():
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# gr.Markdown(''' <p style="text-align: center;"> or </p> ''')
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sample_button_en_3 = gr.Button("Click to get a sentence", size='sm')
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input_text_mf = gr.Textbox(label="Sentence:", value="HELLO! Hallo!", visible=False, container=False)
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interpretation_mf_1 = gr.components.Interpretation(input_text_mf)
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slider_3_1 = gr.Slider(label="Human: Male ββ> Female", container=True, min_width=200, height=80, show_label=True, interactive=True)
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user_important_mf = gr.Textbox(label="Which words are your guesses based on?", placeholder="Enter words that you think are important for the task")
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with gr.Column(scale=1):
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gr.Markdown(
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''' ## Male or Female
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