mirror of
https://github.com/nomic-ai/gpt4all.git
synced 2024-11-10 11:49:05 +03:00
119 lines
3.6 KiB
Python
119 lines
3.6 KiB
Python
import sys
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import typer
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from typing_extensions import Annotated
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from gpt4all import GPT4All
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MESSAGES = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Hello there."},
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{"role": "assistant", "content": "Hi, how can I help you?"},
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]
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SPECIAL_COMMANDS = {
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"/reset": lambda messages: messages.clear(),
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"/exit": lambda _: sys.exit(),
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"/clear": lambda _: print("\n" * 100),
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"/help": lambda _: print("Special commands: /reset, /exit, /help and /clear"),
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}
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VERSION = "0.1.0"
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CLI_START_MESSAGE = f"""
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██████ ██████ ████████ ██ ██ █████ ██ ██
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██ ██ ██ ██ ██ ██ ██ ██ ██ ██
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██ ███ ██████ ██ ███████ ███████ ██ ██
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██ ██ ██ ██ ██ ██ ██ ██ ██
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██████ ██ ██ ██ ██ ██ ███████ ███████
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Welcome to the GPT4All CLI! Version {VERSION}
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Type /help for special commands.
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"""
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def _cli_override_response_callback(token_id, response):
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resp = response.decode("utf-8")
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print(resp, end="", flush=True)
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return True
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# create typer app
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app = typer.Typer()
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@app.command()
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def repl(
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model: Annotated[
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str,
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typer.Option("--model", "-m", help="Model to use for chatbot"),
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] = "ggml-gpt4all-j-v1.3-groovy",
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n_threads: Annotated[
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int,
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typer.Option("--n-threads", "-t", help="Number of threads to use for chatbot"),
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] = 4,
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):
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gpt4all_instance = GPT4All(model)
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# if threads are passed, set them
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if n_threads != 4:
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num_threads = gpt4all_instance.model.thread_count()
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print(f"\nAdjusted: {num_threads} →", end="")
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# set number of threads
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gpt4all_instance.model.set_thread_count(n_threads)
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num_threads = gpt4all_instance.model.thread_count()
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print(f" {num_threads} threads", end="", flush=True)
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# overwrite _response_callback on model
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gpt4all_instance.model._response_callback = _cli_override_response_callback
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print(CLI_START_MESSAGE)
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while True:
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message = input(" ⇢ ")
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# Check if special command and take action
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if message in SPECIAL_COMMANDS:
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SPECIAL_COMMANDS[message](MESSAGES)
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continue
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# if regular message, append to messages
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MESSAGES.append({"role": "user", "content": message})
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# execute chat completion and ignore the full response since
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# we are outputting it incrementally
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full_response = gpt4all_instance.chat_completion(
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MESSAGES,
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# preferential kwargs for chat ux
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logits_size=0,
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tokens_size=0,
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n_past=0,
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n_ctx=0,
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n_predict=200,
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top_k=40,
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top_p=0.9,
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temp=0.9,
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n_batch=9,
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repeat_penalty=1.1,
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repeat_last_n=64,
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context_erase=0.0,
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# required kwargs for cli ux (incremental response)
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verbose=False,
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std_passthrough=True,
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)
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# record assistant's response to messages
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MESSAGES.append(full_response.get("choices")[0].get("message"))
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print() # newline before next prompt
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@app.command()
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def version():
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print("gpt4all-cli v0.1.0")
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if __name__ == "__main__":
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app()
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