Create tokenization.py
Browse files- tokenization.py +53 -0
tokenization.py
ADDED
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from transformers import PreTrainedTokenizerFast
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class SinglePOTokenizer(PreTrainedTokenizerFast):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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def get_context(
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self,
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raw_instruction,
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rule_description,
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):
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prompt = "You are an expert prompt engineer." + " "
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prompt += "Please help me optimize this prompt to get better response:\n\n[The Start of Raw Prompt]\n{}\n[The End of Raw Prompt]".format(raw_instruction)
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prompt += "\n\nYou should optimize this prompt by {}".format(rule_description)
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context = self.apply_chat_template(
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[
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{
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"role": "user",
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"content": prompt,
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}
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],
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add_generation_prompt=True,
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tokenize=False,
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) + "The Optimized Prompt:\n\n[The Start of Optimized Prompt"
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return context
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def parse_output(
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self,
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output_text,
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raw_instruction = "", # recommend to provide, so when some error happened, we can still use the raw instruction
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):
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better_instruction = "The Optimized Prompt:\n\n[The Start of Optimized Prompt" + output_text
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if "[The Start of Optimized Prompt]" in better_instruction:
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better_instruction = better_instruction[better_instruction.index("[The Start of Optimized Prompt]") + len("[The Start of Optimized Prompt]"):]
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if better_instruction.startswith("\n"):
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better_instruction = better_instruction[1:]
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if "[The End of Optimized Prompt]" in better_instruction:
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better_instruction = better_instruction[:better_instruction.index("[The End of Optimized Prompt]")]
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if better_instruction.endswith("\n"):
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better_instruction = better_instruction[:-1]
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if "The Optimized Prompt:" in better_instruction: # almost error happened
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better_instruction = better_instruction[:better_instruction.index("The Optimized Prompt:")]
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if better_instruction.strip() == "": # some error may happen in optimization, so use the raw instruction
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better_instruction = raw_instruction
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if "The Optimized" in better_instruction: # still some error happened
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better_instruction = raw_instruction
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return better_instruction
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