Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -31,10 +31,24 @@ pipe = pipeline(
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def infer(prompt):
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return pipe(prompt, max_new_tokens=1, do_sample=True, temperature=1.0, return_full_text=False)[0]["generated_text"]
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default_experiment = """
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"""
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with gr.Blocks(
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@@ -50,7 +64,7 @@ with gr.Blocks(
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gr.Image(
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value="https://marcelbinz.github.io/imgs/centaur.png",
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show_label=False,
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height=
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container=False,
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elem_classes="mx-auto", # centres the image
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)
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def infer(prompt):
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return pipe(prompt, max_new_tokens=1, do_sample=True, temperature=1.0, return_full_text=False)[0]["generated_text"]
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default_experiment = """You will take part in a Social Prediction Game.
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You will observe a Player playing against an Opponent in different games.
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In each game, the Player and the Opponent simultaneously choose between option J and option Z.
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The Player and the Opponent win points based on their choices.
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The rules change between games, and you will be informed about them before each game.
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The Player varies between blocks but is consistent across games within a block.
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The Opponent switches in each game.
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Your task is to predict the choices made by the Player and rate your confidence in this prediction on an 11-point scale from 0 to 100 (in increments of 10).
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You get feedback after each game on whether your prediction was correct or not.
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Block 1 starts now.
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The rules of the game are as follows:
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If Player chooses option J and Opponent chooses option J, then Player wins 10 points and Opponent wins 10 points.
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If Player chooses option J and Opponent chooses option Z, then Player wins 3 points and Opponent wins 12 points.
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If Player chooses option Z and Opponent chooses option J, then Player wins 12 points and Opponent wins 3 points.
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If Player chooses option Z and Opponent chooses option Z, then Player wins 5 points and Opponent wins 5 points.
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You predict that Player will choose option <<
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"""
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with gr.Blocks(
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gr.Image(
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value="https://marcelbinz.github.io/imgs/centaur.png",
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show_label=False,
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height=180,
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container=False,
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elem_classes="mx-auto", # centres the image
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)
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