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#!/usr/bin/env nix-shell
#!nix-shell -i python3 -p "python3.withPackages (pkgs: with pkgs; [ keras pytorch transformers ])"
"""GPT adventure is a text-adventure style game powered by AI."""
from typing import List, Optional
import argparse
import transformers
class Model:
def __init__(self, name: str):
self.name = name
self.tokenizer = transformers.AutoTokenizer.from_pretrained(name)
self.model = transformers.pipeline(
"text-generation",
tokenizer=self.tokenizer,
model=transformers.AutoModelForCausalLM.from_pretrained(name),
pad_token_id=self.tokenizer.eos_token_id,
)
def generate(self, prompt: str) -> str:
"""Generate text from a text generator."""
out = self.model(
prompt,
do_sample=True,
temperature=0.9,
top_k=60,
top_p=0.9,
return_full_text=False,
max_new_tokens=50,
)[0]["generated_text"]
first_line = out.split("\n", 1)[0].strip()
if first_line:
return first_line
return "haha i'm not sure what you mean"
def token_length(self, msg: str) -> int:
return len(self.tokenizer(msg)["input_ids"])
class State:
def __init__(self, model: Model, character: str, bio: str, history: List[str], filename: Optional[str]):
self.model = model
self.character = character
self.bio = bio
self.history = history
self.filename = filename
self.prologue = f"{character}'s Persona: {bio}\n<START>\n"
def add_history(self, who: str, msg: str) -> None:
self.history.append(f"{who}: {msg}")
def rollback_history(self) -> None:
self.history = self.history[:-1]
def prompt(self) -> str:
return self.prologue + "\n".join(self.history) + f"\n{self.character}: "
def trim_history(self):
while self.history and self.model.token_length(self.prompt()) > 1024:
self.history = self.history[1:]
def print_context(self) -> None:
for elem in self.history[-10:]:
if elem.startswith("You: "):
print("> " + elem.removeprefix("You: "))
else:
print(elem.removeprefix(f"{self.character}: "))
def autosave(self) -> None:
if self.filename:
self.save(self.filename)
def save(self, filename: str) -> None:
self.filename = filename
with open(filename, "w") as f:
print(self.model.name, file=f)
print(self.character, file=f)
print(self.bio, file=f)
for elem in self.history:
print(elem, file=f)
def load(filename: str) -> State:
with open(filename, "r") as f:
model = f.readline().strip()
character = f.readline().strip()
bio = f.readline().strip()
history = f.read().strip().split("\n")
return State(Model(model), character, bio, history, filename)
def clear() -> None:
print(f"\033[2J", flush=True)
def new_character(model: Model) -> State:
print("Creating a new character.")
print("You may have to heavily edit (/edit) the AI's first few responses")
print("in order for it to learn the appropriate tone.")
name = input("Enter your character's name: ")
bio = input("Enter a few sentences describing your character: ")
return State(model, name, bio, [], None)
def main() -> None:
"""Run the main game loop."""
parser = argparse.ArgumentParser("AI girlfriend")
parser.add_argument("--model", default="PygmalionAI/pygmalion-6b", help="Model to use")
parser.add_argument("save_file", nargs="?", default="")
args = parser.parse_args()
if args.save_file:
state = load(args.save_file)
state.print_context()
else:
state = new_character(Model(args.model))
while True:
try:
msg = input("> ")
except EOFError:
break
if msg == "/help":
commands = (
"/help",
"/retry",
"/edit",
"/undo",
"/save",
)
print("Commands:")
for cmd in commands:
print(f"\t{cmd}")
elif msg == "/retry":
state.rollback_history()
clear()
state.print_context()
elif msg == "/edit":
state.rollback_history()
clear()
state.print_context()
new_response = input("")
state.add_history(state.character, new_response)
continue
elif msg == "/undo":
state.rollback_history()
state.rollback_history()
clear()
state.print_context()
continue
elif msg.startswith("/save"):
if " " not in msg:
print("Usage: /save <filename>")
continue
state.save(msg.split(" ", 1)[1])
continue
else:
state.add_history("You", msg)
state.trim_history()
response = state.model.generate(state.prompt())
if not response:
response = "haha I'm not sure what you mean"
print(response)
state.add_history(state.character, response)
state.autosave()
main()
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