mirror of
https://github.com/wassname/Clover-Edition.git
synced 2026-08-21 11:09:32 +08:00
333 lines
15 KiB
Python
333 lines
15 KiB
Python
from pathlib import Path
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with open(Path('interface', 'start-message.txt'), 'r') as file:
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print('\x1B[7m'+file.read()+'\x1B[27m')
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import gc
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import random
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import torch
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import textwrap
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from random import shuffle
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from shutil import get_terminal_size
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from getconfig import settings, colors, logger
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from story.story_manager import *
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from story.utils import *
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from gpt2generator import GPT2Generator
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#TODO: Move all these utilty functions to seperate utily file
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#add color for windows users that install colorama
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# It is not necessary to install colorama on most systems
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try:
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import colorama
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colorama.init()
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except ModuleNotFoundError:
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pass
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with open(Path('interface', 'clover'), 'r', encoding='utf-8') as file:
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print(file.read())
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#ECMA-48 set graphics codes for the curious. Check out "man console_codes"
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def colPrint(str, col='0', wrap=True, end=None):
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if wrap and settings.getint('text-wrap-width') > 1:
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str = textwrap.fill(str, settings.getint('text-wrap-width'), replace_whitespace=False)
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print("\x1B[{}m{}\x1B[{}m".format(col, str, colors["default"]), end=end)
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def colInput(str, col1=colors["default"], col2=colors["default"]):
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val=input("\x1B[{}m{}\x1B[0m\x1B[{}m".format(col1,str,col1))
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print('\x1B[0m', end='')
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return val
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def clear_lines(n):
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"""Clear the last line in the terminal."""
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screen_code = "\033[1A[\033[2K" # up one line, and clear line
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for _ in range(n):
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print(screen_code, end="")
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def count_printed_lines(text):
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"""For a prompt, work out how many console lines it took up with wrapping."""
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width = settings.getint("text-wrap-width")
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return sum([(len(ss) // width) + 1 for ss in text.split("\n")])
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def getNumberInput(n):
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val=colInput("Enter a number from above (default 0):", colors["selection-prompt"], colors["selection-value"])
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if val=='':
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return 0
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elif not re.match('^\d+$', val) or 0>int(val) or int(val)>n:
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colPrint("Invalid choice.", colors["error"])
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return getNumberInput(n)
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else:
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return int(val)
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def selectFile(p=Path('prompts')):
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if p.is_dir():
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files=[x for x in p.iterdir()]
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shuffle(files)
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for n in range(len(files)):
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colPrint(
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'{}: {}'.format(n, re.sub(r'\.txt$', '', files[n].name)),
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colors['menu'])
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return selectFile(files[getNumberInput(len(files)-1)])
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else:
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with p.open('r', encoding='utf-8') as file:
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line1=file.readline()
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rest=file.read()
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return (line1, rest)
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#print files done several times and probably deserves own function
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def instructions():
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with open('interface/instructions.txt', 'r', encoding='utf-8') as file:
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colPrint(file.read(), colors["instructions"], False)
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def getGenerator():
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colPrint(
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"\nInitializing AI Engine! (This might take a few minutes)\n",
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colors['loading-message'])
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return GPT2Generator(
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generate_num=settings.getint('generate-num'),
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temperature=settings.getfloat('temp'),
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top_k=settings.getint('top-keks'),
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top_p=settings.getfloat('top-p'),
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repetition_penalty=settings.getfloat('rep-pen')
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)
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if not Path('prompts', 'Anime').exists():
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try:
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import pastebin
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except:
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logger.warning('Failed to scrape pastebin: %e', e)
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colPrint("Failed to scrape pastebin, possible connection issue.\nTry again later. Continuing without downloading prompts...", colors['error'])
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class AIPlayer:
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def __init__(self, generator):
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self.generator = generator
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def get_action(self, prompt):
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result_raw = self.generator.generate_raw(
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prompt, generate_num=settings.getint('action-generate-num'), temperature=settings.getint('action-temp'))
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return clean_suggested_action(result_raw, min_length=settings.getint('action-min-length'))
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def play(generator):
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story_manager = UnconstrainedStoryManager(generator)
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ai_player = AIPlayer(generator)
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print("\n")
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with open(Path('interface', 'mainTitle.txt'), 'r', encoding='utf-8') as file:
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colPrint(file.read(), colors['title'])
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with open(Path('interface', 'subTitle.txt'), 'r', encoding='utf-8') as file:
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cols=get_terminal_size()[0]
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for line in file:
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line=re.sub(r'\n', '', line)
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line=line[:cols]
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#fills in the graphic using reverse video mode substituted into the areas between |'s
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colPrint(re.sub(r'\|[ _]*\|', lambda x: '\x1B[7m'+x.group(0)+'\x1B[27m', line), colors["subtitle"], False)
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colPrint("Go to https://github.com/cloveranon/Clover-Edition/ or email cloveranon@nuke.africa for bug reports, help, and feature requests.", colors['subsubtitle'])
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while True:
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# May be needed to avoid out of mem
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gc.collect()
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torch.cuda.empty_cache()
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if story_manager.story != None:
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del story_manager.story
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print("\n\n")
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colPrint("0: Pick Prompt From File (Default if you type nothing)\n1: Write Custom Prompt", colors["menu"])
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if getNumberInput(1) == 1:
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with open(Path('interface', 'prompt-instructions.txt'), 'r', encoding='utf-8') as file:
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colPrint(file.read(), colors['instructions'], False)
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context = colInput('Context>', colors['main-prompt'], colors['user-text'])
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prompt = colInput('Prompt>', colors['main-prompt'], colors['user-text'])
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filename=colInput('Name to save prompt as? (Leave blank for no save): ', colors['query'], colors['user-text'])
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filename=re.sub('-$','',re.sub('^-', '', re.sub('[^a-zA-Z0-9_-]+', '-', filename)))
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if filename != '':
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with open(Path('prompts', filename+'.txt'), 'w', encoding='utf-8') as f:
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f.write(context+'\n'+prompt)
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else:
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context, prompt = selectFile()
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instructions()
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print()
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colPrint("Generating story...", colors['loading-message'])
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#TODO:seperate out AI generated part of story and print with different color
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story_manager.start_new_story(prompt, context=context)
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print("\n")
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colPrint(str(story_manager.story), colors["ai-text"])
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while True:
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#Generate suggested actions
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if settings.getint('action-alternatives') > 0:
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#TODO change this to two messages for different colors
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suggested_actions = []
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colPrint('Suggested actions:', colors['selection-value'])
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action_suggestion_lines = 1
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for i in range(settings.getint('action-alternatives')):
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# New way
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# action_prompt = story_manager.story_context() # This should be within the loop as it has a random sampling element
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# action_prompt[-1] += '\n>'
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# # OLD way
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action_prompt = (
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story_manager.story.results[-1]
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if story_manager.story.results
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else "\nWhat do you do now?"
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) + "\n>"
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logger.debug("action_prompt %s", action_prompt)
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suggested_action = ai_player.get_action(action_prompt)
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suggested_actions.append(suggested_action)
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suggestion = '{}> {}'.format(i, suggested_action)
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colPrint(suggestion, colors['selection-value'])
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action_suggestion_lines += count_printed_lines(suggestion)
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print()
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if settings.getboolean('console-bell'):
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print('\x07', end='')
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action = colInput("> ", colors["main-prompt"], colors["user-text"])
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# Clear suggestions and user input
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if settings.getint('action-alternatives') > 0:
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action_suggestion_lines += count_printed_lines('> '+action) + 1
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clear_lines(action_suggestion_lines)
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# Show user input again
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colPrint("\n> " + action.rstrip(), colors["user-text"], end="")
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setRegex = re.search('^set ([^ ]+) ([^ ]+)$', action)
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if setRegex:
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if setRegex.group(1) in settings:
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currentSettingValue = settings[setRegex.group(1)]
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colPrint("Current Value of {}: {} Changing to: {}".format(setRegex.group(1), currentSettingValue, setRegex.group(2)))
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settings[setRegex.group(1)] = setRegex.group(2)
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colPrint('Save config file?', colors['query'])
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colPrint('Saving an invalid option will corrupt file!', colors['error'])
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if colInput('y/n? >', colors['selection-prompt'], colors['selection-value']) == 'y':
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with open('config.ini', 'w', encoding='utf-8') as file:
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config.write(file)
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else:
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colPrint('Invalid Setting', colors['error'])
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instructions()
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elif action == "restart":
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break
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elif action == "quit":
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exit()
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elif action == "help":
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instructions()
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elif action == "print":
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print("\nPRINTING\n")
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colPrint(str(story_manager.story), colors['print-story'])
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elif action == "revert":
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if len(story_manager.story.actions) == 0:
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colPrint("You can't go back any farther. ", colors['error'])
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continue
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story_manager.story.actions = story_manager.story.actions[:-1]
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story_manager.story.results = story_manager.story.results[:-1]
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colPrint("Last action reverted. ", colors["message"])
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if len(story_manager.story.results) > 0:
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colPrint(story_manager.story.results[-1], colors["ai-text"])
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else:
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colPrint(story_manager.story.story_start, colors["ai-text"])
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continue
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else:
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# Options to select a suggestion action
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if action in [str(i) for i in range(len(suggested_actions))]:
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action = suggested_actions[int(action)]
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action = action.strip()
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# Crop actions to a max length
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action = action[:4096]
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if action != "":
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# Roll a 20 sided dice to make things interesting
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d = random.randint(1, 20)
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logger.debug("roll d20=%s", d)
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if action[0] == '"':
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if settings.getboolean("action-d20"):
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if d == 1:
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adjectives_say_d01 = ["mumble", "prattle", "incoherently say", "whine", "ramble", "wheeze"]
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adjective = random.sample(adjectives_say_d01, 1)[0]
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action = "You "+adjective+" " + action
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elif d == 20:
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adjectives_say_d20 = ["successfully", "persuasively", "expertly", "conclusively", "dramatically", "adroitly", "aptly"]
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adjective = random.sample(adjectives_say_d20, 1)[0]
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action = "You "+adjective+" say " + action
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else:
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action = "You say " + action
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else:
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action = "You say " + action
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else:
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action = first_to_second_person(action)
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if not action.lower().startswith("you ") and not action.lower().startswith("i "):
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action = action[0].lower() + action[1:]
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# roll a d20
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if settings.getboolean("action-d20"):
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if d == 1:
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adjective_action_d01 = ["disastrously", "incompetently", "dangerously", "stupidly", "horribly", "miserably", "sadly"]
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adjective = random.sample(adjective_action_d01, 1)[0]
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action = "You "+adjective+" fail to " + action
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elif d < 5:
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action = "You attempt to " + action
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elif d < 10:
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action = "You try to " + action
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elif d < 15:
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action = "You start to " + action
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elif d < 20:
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action = "You " + action
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else:
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adjective_action_d20 = ["successfully", "expertly", "conclusively", "adroitly", "aptly", "masterfully"]
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adjective = random.sample(adjective_action_d20, 1)[0]
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action = "You " + adjective + " " + action
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else:
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action = "You " + action
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if action[-1] not in [".", "?", "!"]:
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action = action + "."
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action = "\n> " + action + "\n"
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colPrint("\n>> " + action.lstrip().lstrip('> \n'), colors["transformed-user-text"])
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result = "\n" + story_manager.act(action)
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if len(story_manager.story.results) >= 2:
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similarity = get_similarity(
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story_manager.story.results[-1], story_manager.story.results[-2]
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)
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if similarity > 0.9:
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story_manager.story.actions = story_manager.story.actions[:-1]
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story_manager.story.results = story_manager.story.results[:-1]
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colPrint( "Woops that action caused the model to start looping. Try a different action to prevent that.", colors["error"])
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continue
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if player_won(result):
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colPrint(result + "\n CONGRATS YOU WIN", colors["message"])
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break
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elif player_died(result):
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colPrint(result, colors["ai-text"])
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colPrint("YOU DIED. GAME OVER", colors["error"])
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colPrint("\nOptions:\n0)Start a new game\n1)\"I'm not dead yet!\" (If you didn't actually die)", colors["menu"])
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choice = getNumberInput(1)
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if choice == 0:
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break
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else:
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colPrint("Sorry about that...where were we?", colors["query"])
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colPrint(result, colors["ai-text"])
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# This is here for rapid development, without reloading the model. You import play into a jupyternotebook with autoreload
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if __name__ == "__main__":
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generator = getGenerator()
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play(generator)
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