Spaces:
Running
Running
split 1on1 to another option
Browse files- app.py +11 -7
- predictors.py +0 -1
app.py
CHANGED
@@ -13,12 +13,12 @@ np.set_printoptions(suppress=True)
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def ai_generated_test(option, input):
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if option == "Human vs AI":
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return predict_bc_scores(input), None, None
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return (
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# COMBINED
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@@ -108,7 +108,11 @@ with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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ai_option = gr.Radio(
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[
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label="Choose an option please.",
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)
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with gr.Column():
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def ai_generated_test(option, input):
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if option == "Human vs AI":
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return predict_bc_scores(input), None, None
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elif option == "Human vs AI Source Models":
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return (predict_bc_scores(input), predict_mc_scores(input), None)
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elif option == "Human vs AI Source Models (1 on 1)":
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return predict_bc_scores(input), None, predict_1on1_scores(input)
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return None, None, None
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# COMBINED
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with gr.Row():
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with gr.Column():
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ai_option = gr.Radio(
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[
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"Human vs AI",
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"Human vs AI Source Models",
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"Human vs AI Source Models (1 on 1)",
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],
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label="Choose an option please.",
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)
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with gr.Column():
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predictors.py
CHANGED
@@ -299,7 +299,6 @@ def predict_1on1_scores(input):
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for score, label in zip(mc_score_list, text_1on1_label_map):
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mc_score[label.upper()] = score
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print(mc_score)
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sum_prob = 1 - bc_score["HUMAN"]
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for key, value in mc_score.items():
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mc_score[key] = value * sum_prob
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for score, label in zip(mc_score_list, text_1on1_label_map):
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mc_score[label.upper()] = score
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sum_prob = 1 - bc_score["HUMAN"]
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for key, value in mc_score.items():
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mc_score[key] = value * sum_prob
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