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# + tags=["hide_inp"] | |
desc = """ | |
### Chat | |
A chat-like example for multi-turn chat with state. [[Code](https://github.com/srush/MiniChain/blob/main/examples/chat.py)] | |
(Adapted from [LangChain](https://langchain.readthedocs.io/en/latest/modules/memory/examples/chatgpt_clone.html)'s version of this [blog post](https://www.engraved.blog/building-a-virtual-machine-inside/).) | |
""" | |
# - | |
# $ | |
from dataclasses import dataclass, replace | |
from typing import List, Tuple | |
from minichain import OpenAI, prompt, show | |
# Generic stateful Memory | |
MEMORY = 2 | |
class State: | |
memory: List[Tuple[str, str]] | |
human_input: str = "" | |
def push(self, response: str) -> "State": | |
memory = self.memory if len(self.memory) < MEMORY else self.memory[1:] | |
return State(memory + [(self.human_input, response)]) | |
# Chat prompt with memory | |
def chat_prompt(model, state: State) -> State: | |
out = model(state) | |
result = out.split("Assistant:")[-1] | |
return state.push(result) | |
# $ | |
examples = [ | |
"ls ~", | |
"cd ~", | |
"{Please make a file jokes.txt inside and put some jokes inside}", | |
"""echo -e "x=lambda y:y*5+3;print('Result:' + str(x(6)))" > run.py && python3 run.py""", | |
"""echo -e "print(list(filter(lambda x: all(x%d for d in range(2,x)),range(2,3**10)))[:10])" > run.py && python3 run.py""", | |
"""echo -e "echo 'Hello from Docker" > entrypoint.sh && echo -e "FROM ubuntu:20.04\nCOPY entrypoint.sh entrypoint.sh\nENTRYPOINT [\"/bin/sh\",\"entrypoint.sh\"]">Dockerfile && docker build . -t my_docker_image && docker run -t my_docker_image""", | |
"nvidia-smi" | |
] | |
gradio = show(lambda command, state: chat_prompt(replace(state, human_input=command)), | |
initial_state=State([]), | |
subprompts=[chat_prompt], | |
examples=examples, | |
out_type="json", | |
description=desc, | |
code=open("chat.py", "r").read().split("$")[1].strip().strip("#").strip(), | |
) | |
if __name__ == "__main__": | |
gradio.launch() | |