Text Generation
Transformers
PyTorch
mpt
Composer
MosaicML
llm-foundry
custom_code
text-generation-inference
mpt-7b-storywriter / prompt_files.py
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LLM-foundry update March 26, 2024 23:50:31
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import os
from typing import List, Optional
PROMPTFILE_PREFIX = 'file::'
def load_prompts(prompts: List[str], prompt_delimiter: Optional[str]=None) -> List[str]:
"""Loads a set of prompts, both free text and from file.
Args:
prompts (List[str]): List of free text prompts and prompt files
prompt_delimiter (Optional str): Delimiter for text file
If not provided, assumes the prompt file is a single prompt (non-delimited)
Returns:
List of prompt string(s)
"""
prompt_strings = []
for prompt in prompts:
if prompt.startswith(PROMPTFILE_PREFIX):
prompts = load_prompts_from_file(prompt, prompt_delimiter)
prompt_strings.extend(prompts)
else:
prompt_strings.append(prompt)
return prompt_strings
def load_prompts_from_file(prompt_path: str, prompt_delimiter: Optional[str]=None) -> List[str]:
"""Load a set of prompts from a text fie.
Args:
prompt_path (str): Path for text file
prompt_delimiter (Optional str): Delimiter for text file
If not provided, assumes the prompt file is a single prompt (non-delimited)
Returns:
List of prompt string(s)
"""
if not prompt_path.startswith(PROMPTFILE_PREFIX):
raise ValueError(f'prompt_path_str must start with {PROMPTFILE_PREFIX}')
_, prompt_file_path = prompt_path.split(PROMPTFILE_PREFIX, maxsplit=1)
prompt_file_path = os.path.expanduser(prompt_file_path)
if not os.path.isfile(prompt_file_path):
raise FileNotFoundError(f'prompt_file_path={prompt_file_path!r} does not match any existing files.')
with open(prompt_file_path, 'r') as f:
prompt_string = f.read()
if prompt_delimiter is None:
return [prompt_string]
return [i for i in prompt_string.split(prompt_delimiter) if i]