Spaces:
Sleeping
Sleeping
Printing Evaluation ID to screen
Browse files- tab_manager.py +3 -3
tab_manager.py
CHANGED
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@@ -103,6 +103,7 @@ def general_bias_eval_setup(tab, modelID, imagesTab):
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st.rerun()
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if user_evaluation_variables.RUN_TIME and user_evaluation_variables.CURRENT_EVAL_TYPE == 'general':
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GBM.output_eval_results(user_evaluation_variables.EVAL_METRICS, 21, 'general')
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genCSVData = create_word_distribution_csv(user_evaluation_variables.EVAL_METRICS,
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user_evaluation_variables.EVAL_ID,
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@@ -175,6 +176,7 @@ def task_oriented_bias_eval_setup(tab, modelID, imagesTab):
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else:
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st.error('Please input a target for your task-oriented analysis', icon="🚨")
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if user_evaluation_variables.RUN_TIME and user_evaluation_variables.CURRENT_EVAL_TYPE == 'task-oriented':
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GBM.output_eval_results(user_evaluation_variables.EVAL_METRICS, 21, 'task-oriented')
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taskCSVData = create_word_distribution_csv(user_evaluation_variables.EVAL_METRICS,
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user_evaluation_variables.EVAL_ID,
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@@ -319,7 +321,7 @@ def initiate_general_bias_evaluation(tab, modelID, specs, imagesTab):
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user_evaluation_variables.OCCUPATION_CAPTIONS = occupationCaptions
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user_evaluation_variables.CURRENT_EVAL_TYPE = 'general'
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def initiate_task_oriented_bias_evaluation(tab, modelID, specs, target, imagesTab):
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startTime = time.time()
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@@ -386,8 +388,6 @@ def initiate_task_oriented_bias_evaluation(tab, modelID, specs, target, imagesTa
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user_evaluation_variables.TASK_COCOIDs = cocoIDs
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user_evaluation_variables.CURRENT_EVAL_TYPE = 'task-oriented'
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st.write("Task-oriented Evaluation ID:\t", user_evaluation_variables.EVAL_ID)
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def download_and_zip_images(zipImagePath, images, captions, imageType):
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if imageType == 'object':
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csvFileName = 'object_prompts.csv'
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st.rerun()
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if user_evaluation_variables.RUN_TIME and user_evaluation_variables.CURRENT_EVAL_TYPE == 'general':
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st.write("General Bias Evaluation ID:\t", user_evaluation_variables.EVAL_ID)
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GBM.output_eval_results(user_evaluation_variables.EVAL_METRICS, 21, 'general')
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genCSVData = create_word_distribution_csv(user_evaluation_variables.EVAL_METRICS,
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user_evaluation_variables.EVAL_ID,
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else:
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st.error('Please input a target for your task-oriented analysis', icon="🚨")
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if user_evaluation_variables.RUN_TIME and user_evaluation_variables.CURRENT_EVAL_TYPE == 'task-oriented':
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st.write("Task-Oriented Bias Evaluation ID:\t", user_evaluation_variables.EVAL_ID)
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GBM.output_eval_results(user_evaluation_variables.EVAL_METRICS, 21, 'task-oriented')
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taskCSVData = create_word_distribution_csv(user_evaluation_variables.EVAL_METRICS,
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user_evaluation_variables.EVAL_ID,
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user_evaluation_variables.OCCUPATION_CAPTIONS = occupationCaptions
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user_evaluation_variables.CURRENT_EVAL_TYPE = 'general'
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+
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def initiate_task_oriented_bias_evaluation(tab, modelID, specs, target, imagesTab):
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startTime = time.time()
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user_evaluation_variables.TASK_COCOIDs = cocoIDs
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user_evaluation_variables.CURRENT_EVAL_TYPE = 'task-oriented'
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def download_and_zip_images(zipImagePath, images, captions, imageType):
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if imageType == 'object':
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csvFileName = 'object_prompts.csv'
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