JRQi commited on
Commit
b507883
1 Parent(s): 948f702

Update game3.py

Browse files
Files changed (1) hide show
  1. game3.py +6 -6
game3.py CHANGED
@@ -39,11 +39,11 @@ def func3(num_selected, human_predict, num1, num2, user_important):
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  text = eval(content[int(num_selected*2)])
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  interpretation = eval(content[int(num_selected*2+1)])
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- golden_label = (text['binary_label']^1) * 100
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- if golden_label == 0:
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  golden_label = int(50 * (1 - text['binary_score']))
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  else:
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  golden_label = int(50 * (1 + text['binary_score']))
 
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  # (START) off-the-shelf version -- slow at the beginning
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  # Load model directly
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  # Use a pipeline as a high-level helper
@@ -57,9 +57,9 @@ def func3(num_selected, human_predict, num1, num2, user_important):
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  # (END) off-the-shelf version
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  if out['label'] == 'Female':
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- ai_predict = int(out['score'])
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  else:
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- ai_predict = 1 - int(out['score'])
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  user_select = "You focused on "
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  flag_select = False
@@ -165,9 +165,9 @@ def func3_written(text_written, human_predict, lang_written):
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  # (END) off-the-shelf version
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  if out['label'] == 'Female':
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- ai_predict = int(out['score'])
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  else:
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- ai_predict = 1 - int(out['score'])
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  if abs(ai_predict - human_predict) <= 20:
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  chatbot.append(("AI gives it a close score! 🎉", "⬅️ Feel free to try another one! ⬅️"))
 
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  text = eval(content[int(num_selected*2)])
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  interpretation = eval(content[int(num_selected*2+1)])
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+ if text['binary_label'] == 1:
 
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  golden_label = int(50 * (1 - text['binary_score']))
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  else:
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  golden_label = int(50 * (1 + text['binary_score']))
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+
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  # (START) off-the-shelf version -- slow at the beginning
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  # Load model directly
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  # Use a pipeline as a high-level helper
 
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  # (END) off-the-shelf version
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  if out['label'] == 'Female':
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+ ai_predict = int(100 * out['score'])
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  else:
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+ ai_predict = 1 - int(100 * out['score'])
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  user_select = "You focused on "
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  flag_select = False
 
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  # (END) off-the-shelf version
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  if out['label'] == 'Female':
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+ ai_predict = int(100 * out['score'])
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  else:
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+ ai_predict = 1 - int(100 * out['score'])
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  if abs(ai_predict - human_predict) <= 20:
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  chatbot.append(("AI gives it a close score! 🎉", "⬅️ Feel free to try another one! ⬅️"))