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from optimization_pipeline import OptimizationPipeline |
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from utils.config import load_yaml, override_config |
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import argparse |
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parser = argparse.ArgumentParser() |
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parser.add_argument('--basic_config_path', default='config/config_default.yml', type=str, help='Configuration file path') |
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parser.add_argument('--batch_config_path', default='', |
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type=str, help='Batch classification configuration file path') |
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parser.add_argument('--prompt', |
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default='', |
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required=False, type=str, help='Prompt to use as initial.') |
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parser.add_argument('--task_description', |
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default='', |
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required=False, type=str, help='Describing the task') |
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parser.add_argument('--load_path', default='', required=False, type=str, help='In case of loading from checkpoint') |
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parser.add_argument('--output_dump', default='dump', required=False, type=str, help='Output to save checkpoints') |
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parser.add_argument('--num_steps', default=40, type=int, help='Number of iterations') |
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opt = parser.parse_args() |
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if opt.batch_config_path == '': |
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config_params = load_yaml(opt.basic_config_path) |
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else: |
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config_params = override_config(opt.batch_config_path, config_file=opt.basic_config_path) |
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if opt.task_description == '': |
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task_description = input("Describe the task: ") |
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else: |
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task_description = opt.task_description |
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if opt.prompt == '': |
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initial_prompt = input("Initial prompt: ") |
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else: |
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initial_prompt = opt.prompt |
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pipeline = OptimizationPipeline(config_params, task_description, initial_prompt, output_path=opt.output_dump) |
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if (opt.load_path != ''): |
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pipeline.load_state(opt.load_path) |
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best_prompt = pipeline.run_pipeline(opt.num_steps) |
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print('\033[92m' + 'Calibrated prompt score:', str(best_prompt['score']) + '\033[0m') |
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print('\033[92m' + 'Calibrated prompt:', best_prompt['prompt'] + '\033[0m') |
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