minichain / pal.py
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desc = """
### Prompt-aided Language Models
Chain for answering complex problems by code generation and execution. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/srush/MiniChain/blob/master/examples/pal.ipynb)
(Adapted from Prompt-aided Language Models [PAL](https://arxiv.org/pdf/2211.10435.pdf)).
"""
# $
from minichain import prompt, show, GradioConf, OpenAI, Python
import gradio as gr
@prompt(OpenAI(), template_file="pal.pmpt.tpl")
def pal_prompt(model, question):
return model(dict(question=question))
@prompt(Python(),
gradio_conf=GradioConf(block_input = lambda: gr.Code(language="python")))
def python(model, inp):
return model(inp + "\nprint(solution())")
def pal(question):
return python(pal_prompt(question))
# $
question = "Melanie is a door-to-door saleswoman. She sold a third of her " \
"vacuum cleaners at the green house, 2 more to the red house, and half of " \
"what was left at the orange house. If Melanie has 5 vacuum cleaners left, " \
"how many did she start with?"
gradio = show(pal,
examples=[question],
subprompts=[pal_prompt, python],
description=desc,
out_type="json",
code=open("pal.py", "r").read().split("$")[1].strip().strip("#").strip(),
)
if __name__ == "__main__":
gradio.queue().launch()