"Don't write any code, just tell what to do!"
This is a significant milestone for Large Language Models (LLMs) and the coding process. The prompt-as
library serves as a foundation for using prompts to perform tasks in Python. We are currently developing this mindset for several features in our products. With our open-source initiative <3, you can use it just like we do.
pip install prompt-as
from prompt_as import prompt_as_config, pf
prompt_as_config.OPENAI_API_KEY = "sk-**"
@pf
def sleep(second:str) -> bool:
"""
Sleeps for the given seconds and returns True.
"""
You can change the OpenAI model that have been used for `prompt-as`.
from prompt_as import prompt_as_config, pf
prompt_as_config.OPENAI_MODEL = "gpt-4-turbo"
# Model Setting
prompt_as_config.OPENAI_API_KEY = "sk-**"
@pf
def sleep(second:str) -> bool:
"""
Sleeps for the given seconds and returns True.
"""
If you want to test this library on a large scale, you can use our test system as well.
from prompt_as import prompt_as_config, pf
prompt_as_config.OPENAI_API_KEY = "sk-**"
@pf
def sleep(second:str) -> bool:
"""
Sleeps for the given seconds and returns True.
"""
# Testing
from prompt_as import Prompt_As_Test_System
Prompt_As_Test_System(sleep_time, [(["2"], {})], [True], [False]).run_test()
# (function_name, test_args_and_kwargs, expected_outputs, bad_outputs)
If you want to test the working quality of this library, you can use the many different quality tests created.
from prompt_as.tests.quality_test import quality_test
quality_test.run_tests()