File size: 1,478 Bytes
7b856a8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
# Notebook to generate and run a bash command.
# Adapted from LangChain
# [BashChain](https://langchain.readthedocs.io/en/latest/modules/chains/examples/llm_bash.html)
import minichain
# Prompt that asks LLM to produce a bash command.
class CLIPrompt(minichain.TemplatePrompt):
template_file = "bash.pmpt.tpl"
def parse(self, out: str, inp):
out = out.strip()
assert out.startswith("```bash")
return out.split("\n")[1:-1]
# Prompt that runs the bash command.
class BashPrompt(minichain.Prompt):
def prompt(self, inp) -> str:
return ";".join(inp).replace("\n", "")
def parse(self, out: str, inp) -> str:
return out
# Generate and run bash command.
with minichain.start_chain("bash") as backend:
question = (
)
prompt = CLIPrompt(backend.OpenAI()).chain(BashPrompt(backend.BashProcess()))
gradio = prompt.to_gradio(fields =["question"],
examples=['Go up one directory, and then into the minichain directory,'
'and list the files in the directory'],
out_type="markdown"
)
if __name__ == "__main__":
gradio.launch()
# View the prompts.
# + tags=["hide_inp"]
# CLIPrompt().show(
# {"question": "list the files in the directory"}, """```bash\nls\n```"""
# )
# # -
# # + tags=["hide_inp"]
# BashPrompt().show(["ls", "cat file.txt"], "hello")
# # -
# # View the run log.
# minichain.show_log("bash.log")
|