#==================================================================# # KoboldAI Client # Version: 1.15.0 # By: KoboldAIDev #==================================================================# # External packages from os import path, getcwd import re import tkinter as tk from tkinter import messagebox import json import requests import html # KoboldAI import fileops import gensettings from utils import debounce import utils #==================================================================# # Variables & Storage #==================================================================# # Terminal tags for colored text class colors: PURPLE = '\033[95m' BLUE = '\033[94m' CYAN = '\033[96m' GREEN = '\033[92m' YELLOW = '\033[93m' RED = '\033[91m' END = '\033[0m' UNDERLINE = '\033[4m' # AI models modellist = [ ["GPT Neo 1.3B", "EleutherAI/gpt-neo-1.3B", "8GB"], ["GPT Neo 2.7B", "EleutherAI/gpt-neo-2.7B", "16GB"], ["GPT-2", "gpt2", "1.2GB"], ["GPT-2 Med", "gpt2-medium", "2GB"], ["GPT-2 Large", "gpt2-large", "16GB"], ["GPT-2 XL", "gpt2-xl", "16GB"], ["InferKit API (requires API key)", "InferKit", ""], ["Custom Neo (eg Neo-horni)", "NeoCustom", ""], ["Custom GPT-2 (eg CloverEdition)", "GPT2Custom", ""], ["Google Colab", "Colab", ""], ["OpenAI API (requires API key)", "OAI", ""], ["Read Only (No AI)", "ReadOnly", ""] ] # Variables class vars: lastact = "" # The last action received from the user lastctx = "" # The last context submitted to the generator model = "" # Model ID string chosen at startup noai = False # Runs the script without starting up the transformers pipeline aibusy = False # Stops submissions while the AI is working max_length = 1024 # Maximum number of tokens to submit per action ikmax = 3000 # Maximum number of characters to submit to InferKit genamt = 80 # Amount of text for each action to generate ikgen = 200 # Number of characters for InferKit to generate rep_pen = 1.1 # Default generator repetition_penalty temp = 0.5 # Default generator temperature top_p = 0.9 # Default generator top_p numseqs = 1 # Number of sequences to ask the generator to create gamestarted = False # Whether the game has started (disables UI elements) prompt = "" # Prompt memory = "" # Text submitted to memory field authornote = "" # Text submitted to Author's Note field andepth = 3 # How far back in history to append author's note actions = [] # Array of actions submitted by user and AI worldinfo = [] # Array of World Info key/value objects badwords = [] # Array of str/chr values that should be removed from output badwordsids = [] # Tokenized array of badwords deletewi = -1 # Temporary storage for index to delete wirmvwhtsp = False # Whether to remove leading whitespace from WI entries widepth = 3 # How many historical actions to scan for WI hits mode = "play" # Whether the interface is in play, memory, or edit mode editln = 0 # Which line was last selected in Edit Mode url = "https://api.inferkit.com/v1/models/standard/generate" # InferKit API URL oaiurl = "" # OpenAI API URL oaiengines = "https://api.openai.com/v1/engines" colaburl = "" # Ngrok url for Google Colab mode apikey = "" # API key to use for InferKit API calls oaiapikey = "" # API key to use for OpenAI API calls savedir = getcwd()+"\stories" hascuda = False # Whether torch has detected CUDA on the system usegpu = False # Whether to launch pipeline with GPU support custmodpth = "" # Filesystem location of custom model to run formatoptns = {} # Container for state of formatting options importnum = -1 # Selection on import popup list importjs = {} # Temporary storage for import data loadselect = "" # Temporary storage for filename to load svowname = "" # Filename that was flagged for overwrite confirm saveow = False # Whether or not overwrite confirm has been displayed genseqs = [] # Temporary storage for generated sequences useprompt = True # Whether to send the full prompt with every submit action acregex_ai = re.compile(r'\n* *>(.|\n)*') # Pattern for matching adventure actions from the AI so we can remove them acregex_ui = re.compile(r'^ *(>.*)$', re.MULTILINE) # Pattern for matching actions in the HTML-escaped story so we can apply colouring, etc (make sure to encase part to format in parentheses) actionmode = 1 adventure = False #==================================================================# # Function to get model selection at startup #==================================================================# def getModelSelection(): print(" # Model V/RAM\n =========================================") i = 1 for m in modellist: print(" {0} - {1}\t\t{2}".format("{:<2}".format(i), m[0].ljust(15), m[2])) i += 1 print(" "); modelsel = 0 vars.model = '' while(vars.model == ''): modelsel = input("Model #> ") if(modelsel.isnumeric() and int(modelsel) > 0 and int(modelsel) <= len(modellist)): vars.model = modellist[int(modelsel)-1][1] else: print("{0}Please enter a valid selection.{1}".format(colors.RED, colors.END)) # If custom model was selected, get the filesystem location and store it if(vars.model == "NeoCustom" or vars.model == "GPT2Custom"): print("{0}Please choose the folder where pytorch_model.bin is located:{1}\n".format(colors.CYAN, colors.END)) modpath = fileops.getdirpath(getcwd(), "Select Model Folder") if(modpath): # Save directory to vars vars.custmodpth = modpath else: # Print error and retry model selection print("{0}Model select cancelled!{1}".format(colors.RED, colors.END)) print("{0}Select an AI model to continue:{1}\n".format(colors.CYAN, colors.END)) getModelSelection() #==================================================================# # Return all keys in tokenizer dictionary containing char #==================================================================# def gettokenids(char): keys = [] for key in vocab_keys: if(key.find(char) != -1): keys.append(key) return keys #==================================================================# # Startup #==================================================================# # Select a model to run print("{0}Welcome to the KoboldAI Client!\nSelect an AI model to continue:{1}\n".format(colors.CYAN, colors.END)) getModelSelection() # If transformers model was selected & GPU available, ask to use CPU or GPU if(not vars.model in ["InferKit", "Colab", "OAI", "ReadOnly"]): # Test for GPU support import torch print("{0}Looking for GPU support...{1}".format(colors.PURPLE, colors.END), end="") vars.hascuda = torch.cuda.is_available() if(vars.hascuda): print("{0}FOUND!{1}".format(colors.GREEN, colors.END)) else: print("{0}NOT FOUND!{1}".format(colors.YELLOW, colors.END)) if(vars.hascuda): print("{0}Use GPU or CPU for generation?: (Default GPU){1}\n".format(colors.CYAN, colors.END)) print(" 1 - GPU\n 2 - CPU\n") genselected = False while(genselected == False): genselect = input("Mode> ") if(genselect == ""): vars.usegpu = True genselected = True elif(genselect.isnumeric() and int(genselect) == 1): vars.usegpu = True genselected = True elif(genselect.isnumeric() and int(genselect) == 2): vars.usegpu = False genselected = True else: print("{0}Please enter a valid selection.{1}".format(colors.RED, colors.END)) # Ask for API key if InferKit was selected if(vars.model == "InferKit"): if(not path.exists("client.settings")): # If the client settings file doesn't exist, create it print("{0}Please enter your InferKit API key:{1}\n".format(colors.CYAN, colors.END)) vars.apikey = input("Key> ") # Write API key to file file = open("client.settings", "w") try: js = {"apikey": vars.apikey} file.write(json.dumps(js, indent=3)) finally: file.close() else: # Otherwise open it up file = open("client.settings", "r") # Check if API key exists js = json.load(file) if("apikey" in js and js["apikey"] != ""): # API key exists, grab it and close the file vars.apikey = js["apikey"] file.close() else: # Get API key, add it to settings object, and write it to disk print("{0}Please enter your InferKit API key:{1}\n".format(colors.CYAN, colors.END)) vars.apikey = input("Key> ") js["apikey"] = vars.apikey # Write API key to file file = open("client.settings", "w") try: file.write(json.dumps(js, indent=3)) finally: file.close() # Ask for API key if OpenAI was selected if(vars.model == "OAI"): if(not path.exists("client.settings")): # If the client settings file doesn't exist, create it print("{0}Please enter your OpenAI API key:{1}\n".format(colors.CYAN, colors.END)) vars.oaiapikey = input("Key> ") # Write API key to file file = open("client.settings", "w") try: js = {"oaiapikey": vars.oaiapikey} file.write(json.dumps(js, indent=3)) finally: file.close() else: # Otherwise open it up file = open("client.settings", "r") # Check if API key exists js = json.load(file) if("oaiapikey" in js and js["oaiapikey"] != ""): # API key exists, grab it and close the file vars.oaiapikey = js["oaiapikey"] file.close() else: # Get API key, add it to settings object, and write it to disk print("{0}Please enter your OpenAI API key:{1}\n".format(colors.CYAN, colors.END)) vars.oaiapikey = input("Key> ") js["oaiapikey"] = vars.oaiapikey # Write API key to file file = open("client.settings", "w") try: file.write(json.dumps(js, indent=3)) finally: file.close() # Get list of models from OAI print("{0}Retrieving engine list...{1}".format(colors.PURPLE, colors.END), end="") req = requests.get( vars.oaiengines, headers = { 'Authorization': 'Bearer '+vars.oaiapikey } ) if(req.status_code == 200): print("{0}OK!{1}".format(colors.GREEN, colors.END)) print("{0}Please select an engine to use:{1}\n".format(colors.CYAN, colors.END)) engines = req.json()["data"] # Print list of engines i = 0 for en in engines: print(" {0} - {1} ({2})".format(i, en["id"], "\033[92mready\033[0m" if en["ready"] == True else "\033[91mnot ready\033[0m")) i += 1 # Get engine to use print("") engselected = False while(engselected == False): engine = input("Engine #> ") if(engine.isnumeric() and int(engine) < len(engines)): vars.oaiurl = "https://api.openai.com/v1/engines/{0}/completions".format(engines[int(engine)]["id"]) engselected = True else: print("{0}Please enter a valid selection.{1}".format(colors.RED, colors.END)) else: # Something went wrong, print the message and quit since we can't initialize an engine print("{0}ERROR!{1}".format(colors.RED, colors.END)) print(req.json()) quit() # Ask for ngrok url if Google Colab was selected if(vars.model == "Colab"): print("{0}Please enter the ngrok.io or trycloudflare.com URL displayed in Google Colab:{1}\n".format(colors.CYAN, colors.END)) vars.colaburl = input("URL> ") + "/request" if(vars.model == "ReadOnly"): vars.noai = True # Set logging level to reduce chatter from Flask import logging log = logging.getLogger('werkzeug') log.setLevel(logging.ERROR) # Start flask & SocketIO print("{0}Initializing Flask... {1}".format(colors.PURPLE, colors.END), end="") from flask import Flask, render_template from flask_socketio import SocketIO, emit app = Flask(__name__) app.config['SECRET KEY'] = 'secret!' socketio = SocketIO(app) print("{0}OK!{1}".format(colors.GREEN, colors.END)) # Start transformers and create pipeline if(not vars.model in ["InferKit", "Colab", "OAI", "ReadOnly"]): if(not vars.noai): print("{0}Initializing transformers, please wait...{1}".format(colors.PURPLE, colors.END)) from transformers import pipeline, GPT2Tokenizer, GPT2LMHeadModel, GPTNeoForCausalLM # If custom GPT Neo model was chosen if(vars.model == "NeoCustom"): model = GPTNeoForCausalLM.from_pretrained(vars.custmodpth) tokenizer = GPT2Tokenizer.from_pretrained(vars.custmodpth) # Is CUDA available? If so, use GPU, otherwise fall back to CPU if(vars.hascuda and vars.usegpu): generator = pipeline('text-generation', model=model, tokenizer=tokenizer, device=0) else: generator = pipeline('text-generation', model=model, tokenizer=tokenizer) # If custom GPT2 model was chosen elif(vars.model == "GPT2Custom"): model = GPT2LMHeadModel.from_pretrained(vars.custmodpth) tokenizer = GPT2Tokenizer.from_pretrained(vars.custmodpth) # Is CUDA available? If so, use GPU, otherwise fall back to CPU if(vars.hascuda and vars.usegpu): generator = pipeline('text-generation', model=model, tokenizer=tokenizer, device=0) else: generator = pipeline('text-generation', model=model, tokenizer=tokenizer) # If base HuggingFace model was chosen else: # Is CUDA available? If so, use GPU, otherwise fall back to CPU tokenizer = GPT2Tokenizer.from_pretrained(vars.model) if(vars.hascuda and vars.usegpu): generator = pipeline('text-generation', model=vars.model, device=0) else: generator = pipeline('text-generation', model=vars.model) # Suppress Author's Note by flagging square brackets vocab = tokenizer.get_vocab() vocab_keys = vocab.keys() vars.badwords = gettokenids("[") for key in vars.badwords: vars.badwordsids.append([vocab[key]]) print("{0}OK! {1} pipeline created!{2}".format(colors.GREEN, vars.model, colors.END)) else: # If we're running Colab or OAI, we still need a tokenizer. if(vars.model == "Colab"): from transformers import GPT2Tokenizer tokenizer = GPT2Tokenizer.from_pretrained("EleutherAI/gpt-neo-2.7B") elif(vars.model == "OAI"): from transformers import GPT2Tokenizer tokenizer = GPT2Tokenizer.from_pretrained("gpt2") # Set up Flask routes @app.route('/') @app.route('/index') def index(): return render_template('index.html') #============================ METHODS =============================# #==================================================================# # Event triggered when browser SocketIO is loaded and connects to server #==================================================================# @socketio.on('connect') def do_connect(): print("{0}Client connected!{1}".format(colors.GREEN, colors.END)) emit('from_server', {'cmd': 'connected'}) if(not vars.gamestarted): setStartState() sendsettings() refresh_settings() sendwi() vars.mode = "play" else: # Game in session, send current game data and ready state to browser refresh_story() sendsettings() refresh_settings() sendwi() if(vars.mode == "play"): if(not vars.aibusy): emit('from_server', {'cmd': 'setgamestate', 'data': 'ready'}) else: emit('from_server', {'cmd': 'setgamestate', 'data': 'wait'}) elif(vars.mode == "edit"): emit('from_server', {'cmd': 'editmode', 'data': 'true'}) elif(vars.mode == "memory"): emit('from_server', {'cmd': 'memmode', 'data': 'true'}) elif(vars.mode == "wi"): emit('from_server', {'cmd': 'wimode', 'data': 'true'}) #==================================================================# # Event triggered when browser SocketIO sends data to the server #==================================================================# @socketio.on('message') def get_message(msg): print("{0}Data recieved:{1}{2}".format(colors.GREEN, msg, colors.END)) # Submit action if(msg['cmd'] == 'submit'): if(vars.mode == "play"): actionsubmit(msg['data'], actionmode=msg['actionmode']) elif(vars.mode == "edit"): editsubmit(msg['data']) elif(vars.mode == "memory"): memsubmit(msg['data']) # Retry Action elif(msg['cmd'] == 'retry'): actionretry(msg['data']) # Back/Undo Action elif(msg['cmd'] == 'back'): actionback() # EditMode Action elif(msg['cmd'] == 'edit'): if(vars.mode == "play"): vars.mode = "edit" emit('from_server', {'cmd': 'editmode', 'data': 'true'}) elif(vars.mode == "edit"): vars.mode = "play" emit('from_server', {'cmd': 'editmode', 'data': 'false'}) # EditLine Action elif(msg['cmd'] == 'editline'): editrequest(int(msg['data'])) # DeleteLine Action elif(msg['cmd'] == 'delete'): deleterequest() elif(msg['cmd'] == 'memory'): togglememorymode() elif(msg['cmd'] == 'savetofile'): savetofile() elif(msg['cmd'] == 'loadfromfile'): loadfromfile() elif(msg['cmd'] == 'import'): importRequest() elif(msg['cmd'] == 'newgame'): newGameRequest() elif(msg['cmd'] == 'rndgame'): randomGameRequest(msg['data']) elif(msg['cmd'] == 'settemp'): vars.temp = float(msg['data']) emit('from_server', {'cmd': 'setlabeltemp', 'data': msg['data']}) settingschanged() elif(msg['cmd'] == 'settopp'): vars.top_p = float(msg['data']) emit('from_server', {'cmd': 'setlabeltopp', 'data': msg['data']}) settingschanged() elif(msg['cmd'] == 'setreppen'): vars.rep_pen = float(msg['data']) emit('from_server', {'cmd': 'setlabelreppen', 'data': msg['data']}) settingschanged() elif(msg['cmd'] == 'setoutput'): vars.genamt = int(msg['data']) emit('from_server', {'cmd': 'setlabeloutput', 'data': msg['data']}) settingschanged() elif(msg['cmd'] == 'settknmax'): vars.max_length = int(msg['data']) emit('from_server', {'cmd': 'setlabeltknmax', 'data': msg['data']}) settingschanged() elif(msg['cmd'] == 'setikgen'): vars.ikgen = int(msg['data']) emit('from_server', {'cmd': 'setlabelikgen', 'data': msg['data']}) settingschanged() # Author's Note field update elif(msg['cmd'] == 'anote'): anotesubmit(msg['data']) # Author's Note depth update elif(msg['cmd'] == 'anotedepth'): vars.andepth = int(msg['data']) emit('from_server', {'cmd': 'setlabelanotedepth', 'data': msg['data']}) settingschanged() # Format - Trim incomplete sentences elif(msg['cmd'] == 'frmttriminc'): if('frmttriminc' in vars.formatoptns): vars.formatoptns["frmttriminc"] = msg['data'] settingschanged() elif(msg['cmd'] == 'frmtrmblln'): if('frmtrmblln' in vars.formatoptns): vars.formatoptns["frmtrmblln"] = msg['data'] settingschanged() elif(msg['cmd'] == 'frmtrmspch'): if('frmtrmspch' in vars.formatoptns): vars.formatoptns["frmtrmspch"] = msg['data'] settingschanged() elif(msg['cmd'] == 'frmtadsnsp'): if('frmtadsnsp' in vars.formatoptns): vars.formatoptns["frmtadsnsp"] = msg['data'] settingschanged() elif(msg['cmd'] == 'importselect'): vars.importnum = int(msg["data"].replace("import", "")) elif(msg['cmd'] == 'importcancel'): emit('from_server', {'cmd': 'popupshow', 'data': False}) vars.importjs = {} elif(msg['cmd'] == 'importaccept'): emit('from_server', {'cmd': 'popupshow', 'data': False}) importgame() elif(msg['cmd'] == 'wi'): togglewimode() elif(msg['cmd'] == 'wiinit'): if(int(msg['data']) < len(vars.worldinfo)): vars.worldinfo[msg['data']]["init"] = True addwiitem() elif(msg['cmd'] == 'widelete'): deletewi(msg['data']) elif(msg['cmd'] == 'wiselon'): vars.worldinfo[msg['data']]["selective"] = True elif(msg['cmd'] == 'wiseloff'): vars.worldinfo[msg['data']]["selective"] = False elif(msg['cmd'] == 'sendwilist'): commitwi(msg['data']) elif(msg['cmd'] == 'aidgimport'): importAidgRequest(msg['data']) elif(msg['cmd'] == 'saveasrequest'): saveas(msg['data']) elif(msg['cmd'] == 'saverequest'): save() elif(msg['cmd'] == 'loadlistrequest'): getloadlist() elif(msg['cmd'] == 'loadselect'): vars.loadselect = msg["data"] elif(msg['cmd'] == 'loadrequest'): loadRequest(getcwd()+"/stories/"+vars.loadselect+".json") elif(msg['cmd'] == 'clearoverwrite'): vars.svowname = "" vars.saveow = False elif(msg['cmd'] == 'seqsel'): selectsequence(msg['data']) elif(msg['cmd'] == 'setnumseq'): vars.numseqs = int(msg['data']) emit('from_server', {'cmd': 'setlabelnumseq', 'data': msg['data']}) settingschanged() elif(msg['cmd'] == 'setwidepth'): vars.widepth = int(msg['data']) emit('from_server', {'cmd': 'setlabelwidepth', 'data': msg['data']}) settingschanged() elif(msg['cmd'] == 'setuseprompt'): vars.useprompt = msg['data'] settingschanged() elif(msg['cmd'] == 'setadventure'): vars.adventure = msg['data'] settingschanged() refresh_story() elif(msg['cmd'] == 'importwi'): wiimportrequest() #==================================================================# # Send start message and tell Javascript to set UI state #==================================================================# def setStartState(): txt = "Welcome to KoboldAI Client! You are running "+vars.model+".
" if(not vars.noai): txt = txt + "Please load a game or enter a prompt below to begin!
" else: txt = txt + "Please load or import a story to read. There is no AI in this mode." emit('from_server', {'cmd': 'updatescreen', 'gamestarted': vars.gamestarted, 'data': txt}) emit('from_server', {'cmd': 'setgamestate', 'data': 'start'}) #==================================================================# # Transmit applicable settings to SocketIO to build UI sliders/toggles #==================================================================# def sendsettings(): # Send settings for selected AI type if(vars.model != "InferKit"): for set in gensettings.gensettingstf: emit('from_server', {'cmd': 'addsetting', 'data': set}) else: for set in gensettings.gensettingsik: emit('from_server', {'cmd': 'addsetting', 'data': set}) # Send formatting options for frm in gensettings.formatcontrols: emit('from_server', {'cmd': 'addformat', 'data': frm}) # Add format key to vars if it wasn't loaded with client.settings if(not frm["id"] in vars.formatoptns): vars.formatoptns[frm["id"]] = False; #==================================================================# # Take settings from vars and write them to client settings file #==================================================================# def savesettings(): # Build json to write js = {} js["apikey"] = vars.apikey js["andepth"] = vars.andepth js["temp"] = vars.temp js["top_p"] = vars.top_p js["rep_pen"] = vars.rep_pen js["genamt"] = vars.genamt js["max_length"] = vars.max_length js["ikgen"] = vars.ikgen js["formatoptns"] = vars.formatoptns js["numseqs"] = vars.numseqs js["widepth"] = vars.widepth js["useprompt"] = vars.useprompt js["adventure"] = vars.adventure # Write it file = open("client.settings", "w") try: file.write(json.dumps(js, indent=3)) finally: file.close() #==================================================================# # Read settings from client file JSON and send to vars #==================================================================# def loadsettings(): if(path.exists("client.settings")): # Read file contents into JSON object file = open("client.settings", "r") js = json.load(file) # Copy file contents to vars if("apikey" in js): vars.apikey = js["apikey"] if("andepth" in js): vars.andepth = js["andepth"] if("temp" in js): vars.temp = js["temp"] if("top_p" in js): vars.top_p = js["top_p"] if("rep_pen" in js): vars.rep_pen = js["rep_pen"] if("genamt" in js): vars.genamt = js["genamt"] if("max_length" in js): vars.max_length = js["max_length"] if("ikgen" in js): vars.ikgen = js["ikgen"] if("formatoptns" in js): vars.formatoptns = js["formatoptns"] if("numseqs" in js): vars.numseqs = js["numseqs"] if("widepth" in js): vars.widepth = js["widepth"] if("useprompt" in js): vars.useprompt = js["useprompt"] if("adventure" in js): vars.adventure = js["adventure"] file.close() #==================================================================# # Don't save settings unless 2 seconds have passed without modification #==================================================================# @debounce(2) def settingschanged(): print("{0}Saving settings!{1}".format(colors.GREEN, colors.END)) savesettings() #==================================================================# # Take input text from SocketIO and decide what to do with it #==================================================================# def actionsubmit(data, actionmode=0): # Ignore new submissions if the AI is currently busy if(vars.aibusy): return set_aibusy(1) vars.actionmode = actionmode # "Action" mode if(actionmode == 1): data = data.strip().lstrip('>') data = re.sub(r'\n+', ' ', data) data = f"\n\n> {data}\n" # If we're not continuing, store a copy of the raw input if(data != ""): vars.lastact = data if(not vars.gamestarted): # Start the game vars.gamestarted = True # Save this first action as the prompt vars.prompt = data if(not vars.noai): # Clear the startup text from game screen emit('from_server', {'cmd': 'updatescreen', 'gamestarted': vars.gamestarted, 'data': 'Please wait, generating story...'}) calcsubmit(data) # Run the first action through the generator else: refresh_story() set_aibusy(0) else: # Dont append submission if it's a blank/continue action if(data != ""): # Apply input formatting & scripts before sending to tokenizer if(vars.actionmode == 0): data = applyinputformatting(data) # Store the result in the Action log vars.actions.append(data) if(not vars.noai): # Off to the tokenizer! calcsubmit(data) else: refresh_story() set_aibusy(0) #==================================================================# # #==================================================================# def actionretry(data): if(vars.noai): emit('from_server', {'cmd': 'errmsg', 'data': "Retry function unavailable in Read Only mode."}) return if(vars.aibusy): return set_aibusy(1) # Remove last action if possible and resubmit if(len(vars.actions) > 0): vars.actions.pop() refresh_story() calcsubmit('') #==================================================================# # #==================================================================# def actionback(): if(vars.aibusy): return # Remove last index of actions and refresh game screen if(len(vars.actions) > 0): vars.actions.pop() refresh_story() #==================================================================# # Take submitted text and build the text to be given to generator #==================================================================# def calcsubmit(txt): anotetxt = "" # Placeholder for Author's Note text lnanote = 0 # Placeholder for Author's Note length forceanote = False # In case we don't have enough actions to hit A.N. depth anoteadded = False # In case our budget runs out before we hit A.N. depth actionlen = len(vars.actions) # Scan for WorldInfo matches winfo = checkworldinfo(txt) # Add a newline to the end of memory if(vars.memory != "" and vars.memory[-1] != "\n"): mem = vars.memory + "\n" else: mem = vars.memory # Build Author's Note if set if(vars.authornote != ""): anotetxt = "\n[Author's note: "+vars.authornote+"]\n" # For all transformers models if(vars.model != "InferKit"): anotetkns = [] # Placeholder for Author's Note tokens # Calculate token budget prompttkns = tokenizer.encode(vars.prompt) lnprompt = len(prompttkns) memtokens = tokenizer.encode(mem) lnmem = len(memtokens) witokens = tokenizer.encode(winfo) lnwi = len(witokens) if(anotetxt != ""): anotetkns = tokenizer.encode(anotetxt) lnanote = len(anotetkns) if(vars.useprompt): budget = vars.max_length - lnprompt - lnmem - lnanote - lnwi - vars.genamt else: budget = vars.max_length - lnmem - lnanote - lnwi - vars.genamt if(actionlen == 0): # First/Prompt action subtxt = vars.memory + winfo + anotetxt + vars.prompt lnsub = lnmem + lnwi + lnprompt + lnanote if(not vars.model in ["Colab", "OAI"]): generate(subtxt, lnsub+1, lnsub+vars.genamt) elif(vars.model == "Colab"): sendtocolab(subtxt, lnsub+1, lnsub+vars.genamt) elif(vars.model == "OAI"): oairequest(subtxt, lnsub+1, lnsub+vars.genamt) else: tokens = [] # Check if we have the action depth to hit our A.N. depth if(anotetxt != "" and actionlen < vars.andepth): forceanote = True # Get most recent action tokens up to our budget for n in range(actionlen): if(budget <= 0): break acttkns = tokenizer.encode(vars.actions[(-1-n)]) tknlen = len(acttkns) if(tknlen < budget): tokens = acttkns + tokens budget -= tknlen else: count = budget * -1 tokens = acttkns[count:] + tokens budget = 0 break # Inject Author's Note if we've reached the desired depth if(n == vars.andepth-1): if(anotetxt != ""): tokens = anotetkns + tokens # A.N. len already taken from bdgt anoteadded = True # If we're not using the prompt every time and there's still budget left, # add some prompt. if(not vars.useprompt): if(budget > 0): prompttkns = prompttkns[-budget:] else: prompttkns = [] # Did we get to add the A.N.? If not, do it here if(anotetxt != ""): if((not anoteadded) or forceanote): tokens = memtokens + witokens + anotetkns + prompttkns + tokens else: tokens = memtokens + witokens + prompttkns + tokens else: # Prepend Memory, WI, and Prompt before action tokens tokens = memtokens + witokens + prompttkns + tokens # Send completed bundle to generator ln = len(tokens) if(not vars.model in ["Colab", "OAI"]): generate ( tokenizer.decode(tokens), ln+1, ln+vars.genamt ) elif(vars.model == "Colab"): sendtocolab( tokenizer.decode(tokens), ln+1, ln+vars.genamt ) elif(vars.model == "OAI"): oairequest( tokenizer.decode(tokens), ln+1, ln+vars.genamt ) # For InferKit web API else: # Check if we have the action depth to hit our A.N. depth if(anotetxt != "" and actionlen < vars.andepth): forceanote = True if(vars.useprompt): budget = vars.ikmax - len(vars.prompt) - len(anotetxt) - len(mem) - len(winfo) - 1 else: budget = vars.ikmax - len(anotetxt) - len(mem) - len(winfo) - 1 subtxt = "" prompt = vars.prompt for n in range(actionlen): if(budget <= 0): break actlen = len(vars.actions[(-1-n)]) if(actlen < budget): subtxt = vars.actions[(-1-n)] + subtxt budget -= actlen else: count = budget * -1 subtxt = vars.actions[(-1-n)][count:] + subtxt budget = 0 break # If we're not using the prompt every time and there's still budget left, # add some prompt. if(not vars.useprompt): if(budget > 0): prompt = vars.prompt[-budget:] else: prompt = "" # Inject Author's Note if we've reached the desired depth if(n == vars.andepth-1): if(anotetxt != ""): subtxt = anotetxt + subtxt # A.N. len already taken from bdgt anoteadded = True # Did we get to add the A.N.? If not, do it here if(anotetxt != ""): if((not anoteadded) or forceanote): subtxt = mem + winfo + anotetxt + prompt + subtxt else: subtxt = mem + winfo + prompt + subtxt else: subtxt = mem + winfo + prompt + subtxt # Send it! ikrequest(subtxt) #==================================================================# # Send text to generator and deal with output #==================================================================# def generate(txt, min, max): print("{0}Min:{1}, Max:{2}, Txt:{3}{4}".format(colors.YELLOW, min, max, txt, colors.END)) # Store context in memory to use it for comparison with generated content vars.lastctx = txt # Clear CUDA cache if using GPU if(vars.hascuda and vars.usegpu): torch.cuda.empty_cache() # Submit input text to generator try: genout = generator( txt, do_sample=True, min_length=min, max_length=max, repetition_penalty=vars.rep_pen, top_p=vars.top_p, temperature=vars.temp, bad_words_ids=vars.badwordsids, use_cache=True, return_full_text=False, num_return_sequences=vars.numseqs ) except Exception as e: emit('from_server', {'cmd': 'errmsg', 'data': 'Error occured during generator call, please check console.'}) print("{0}{1}{2}".format(colors.RED, e, colors.END)) set_aibusy(0) return if(len(genout) == 1): genresult(genout[0]["generated_text"]) else: genselect(genout) # Clear CUDA cache again if using GPU if(vars.hascuda and vars.usegpu): torch.cuda.empty_cache() set_aibusy(0) #==================================================================# # Deal with a single return sequence from generate() #==================================================================# def genresult(genout): print("{0}{1}{2}".format(colors.CYAN, genout, colors.END)) # Format output before continuing genout = applyoutputformatting(genout) # Add formatted text to Actions array and refresh the game screen vars.actions.append(genout) refresh_story() emit('from_server', {'cmd': 'texteffect', 'data': len(vars.actions)}) #==================================================================# # Send generator sequences to the UI for selection #==================================================================# def genselect(genout): i = 0 for result in genout: # Apply output formatting rules to sequences result["generated_text"] = applyoutputformatting(result["generated_text"]) print("{0}[Result {1}]\n{2}{3}".format(colors.CYAN, i, result["generated_text"], colors.END)) i += 1 # Store sequences in memory until selection is made vars.genseqs = genout # Send sequences to UI for selection emit('from_server', {'cmd': 'genseqs', 'data': genout}) # Refresh story for any input text refresh_story() #==================================================================# # Send selected sequence to action log and refresh UI #==================================================================# def selectsequence(n): if(len(vars.genseqs) == 0): return vars.actions.append(vars.genseqs[int(n)]["generated_text"]) refresh_story() emit('from_server', {'cmd': 'texteffect', 'data': len(vars.actions)}) emit('from_server', {'cmd': 'hidegenseqs', 'data': ''}) vars.genseqs = [] #==================================================================# # Send transformers-style request to ngrok/colab host #==================================================================# def sendtocolab(txt, min, max): # Log request to console print("{0}Tokens:{1}, Txt:{2}{3}".format(colors.YELLOW, min-1, txt, colors.END)) # Store context in memory to use it for comparison with generated content vars.lastctx = txt # Build request JSON data reqdata = { 'text': txt, 'min': min, 'max': max, 'rep_pen': vars.rep_pen, 'temperature': vars.temp, 'top_p': vars.top_p, 'numseqs': vars.numseqs, 'retfultxt': False } # Create request req = requests.post( vars.colaburl, json = reqdata ) # Deal with the response if(req.status_code == 200): js = req.json()["data"] # Try to be backwards compatible with outdated colab if("text" in js): genout = [getnewcontent(js["text"])] else: genout = js["seqs"] if(len(genout) == 1): genresult(genout[0]) else: # Convert torch output format to transformers seqs = [] for seq in genout: seqs.append({"generated_text": seq}) genselect(seqs) # Format output before continuing #genout = applyoutputformatting(getnewcontent(genout)) # Add formatted text to Actions array and refresh the game screen #vars.actions.append(genout) #refresh_story() #emit('from_server', {'cmd': 'texteffect', 'data': len(vars.actions)}) set_aibusy(0) else: errmsg = "Colab API Error: Failed to get a reply from the server. Please check the colab console." print("{0}{1}{2}".format(colors.RED, errmsg, colors.END)) emit('from_server', {'cmd': 'errmsg', 'data': errmsg}) set_aibusy(0) #==================================================================# # Replaces returns and newlines with HTML breaks #==================================================================# def formatforhtml(txt): return txt.replace("\\r", "
").replace("\\n", "
").replace('\n', '
').replace('\r', '
') #==================================================================# # Strips submitted text from the text returned by the AI #==================================================================# def getnewcontent(txt): # If the submitted context was blank, then everything is new if(vars.lastctx == ""): return txt # Tokenize the last context and the generated content ctxtokens = tokenizer.encode(vars.lastctx) txttokens = tokenizer.encode(txt) dif = (len(txttokens) - len(ctxtokens)) * -1 # Remove the context from the returned text newtokens = txttokens[dif:] return tokenizer.decode(newtokens) #==================================================================# # Applies chosen formatting options to text submitted to AI #==================================================================# def applyinputformatting(txt): # Add sentence spacing if(vars.formatoptns["frmtadsnsp"]): txt = utils.addsentencespacing(txt, vars) return txt #==================================================================# # Applies chosen formatting options to text returned from AI #==================================================================# def applyoutputformatting(txt): # Use standard quotes and apostrophes txt = utils.fixquotes(txt) # Adventure mode clipping of all characters after '>' if(vars.adventure): txt = vars.acregex_ai.sub('', txt) # Trim incomplete sentences if(vars.formatoptns["frmttriminc"]): txt = utils.trimincompletesentence(txt) # Replace blank lines if(vars.formatoptns["frmtrmblln"]): txt = utils.replaceblanklines(txt) # Remove special characters if(vars.formatoptns["frmtrmspch"]): txt = utils.removespecialchars(txt, vars) return txt #==================================================================# # Sends the current story content to the Game Screen #==================================================================# def refresh_story(): text_parts = ['', html.escape(vars.prompt), ''] for idx, item in enumerate(vars.actions, start=1): if vars.adventure: # Add special formatting to adventure actions item = vars.acregex_ui.sub('\\1', html.escape(item)) text_parts.extend(('', item, '')) emit('from_server', {'cmd': 'updatescreen', 'gamestarted': vars.gamestarted, 'data': formatforhtml(''.join(text_parts))}) #==================================================================# # Sends the current generator settings to the Game Menu #==================================================================# def refresh_settings(): # Suppress toggle change events while loading state emit('from_server', {'cmd': 'allowtoggle', 'data': False}) if(vars.model != "InferKit"): emit('from_server', {'cmd': 'updatetemp', 'data': vars.temp}) emit('from_server', {'cmd': 'updatetopp', 'data': vars.top_p}) emit('from_server', {'cmd': 'updatereppen', 'data': vars.rep_pen}) emit('from_server', {'cmd': 'updateoutlen', 'data': vars.genamt}) emit('from_server', {'cmd': 'updatetknmax', 'data': vars.max_length}) emit('from_server', {'cmd': 'updatenumseq', 'data': vars.numseqs}) else: emit('from_server', {'cmd': 'updatetemp', 'data': vars.temp}) emit('from_server', {'cmd': 'updatetopp', 'data': vars.top_p}) emit('from_server', {'cmd': 'updateikgen', 'data': vars.ikgen}) emit('from_server', {'cmd': 'updateanotedepth', 'data': vars.andepth}) emit('from_server', {'cmd': 'updatewidepth', 'data': vars.widepth}) emit('from_server', {'cmd': 'updateuseprompt', 'data': vars.useprompt}) emit('from_server', {'cmd': 'updateadventure', 'data': vars.adventure}) emit('from_server', {'cmd': 'updatefrmttriminc', 'data': vars.formatoptns["frmttriminc"]}) emit('from_server', {'cmd': 'updatefrmtrmblln', 'data': vars.formatoptns["frmtrmblln"]}) emit('from_server', {'cmd': 'updatefrmtrmspch', 'data': vars.formatoptns["frmtrmspch"]}) emit('from_server', {'cmd': 'updatefrmtadsnsp', 'data': vars.formatoptns["frmtadsnsp"]}) # Allow toggle events again emit('from_server', {'cmd': 'allowtoggle', 'data': True}) #==================================================================# # Sets the logical and display states for the AI Busy condition #==================================================================# def set_aibusy(state): if(state): vars.aibusy = True emit('from_server', {'cmd': 'setgamestate', 'data': 'wait'}) else: vars.aibusy = False emit('from_server', {'cmd': 'setgamestate', 'data': 'ready'}) #==================================================================# # #==================================================================# def editrequest(n): if(n == 0): txt = vars.prompt else: txt = vars.actions[n-1] vars.editln = n emit('from_server', {'cmd': 'setinputtext', 'data': txt}) emit('from_server', {'cmd': 'enablesubmit', 'data': ''}) #==================================================================# # #==================================================================# def editsubmit(data): if(vars.editln == 0): vars.prompt = data else: vars.actions[vars.editln-1] = data vars.mode = "play" refresh_story() emit('from_server', {'cmd': 'texteffect', 'data': vars.editln}) emit('from_server', {'cmd': 'editmode', 'data': 'false'}) #==================================================================# # #==================================================================# def deleterequest(): # Don't delete prompt if(vars.editln == 0): # Send error message pass else: del vars.actions[vars.editln-1] vars.mode = "play" refresh_story() emit('from_server', {'cmd': 'editmode', 'data': 'false'}) #==================================================================# # Toggles the game mode for memory editing and sends UI commands #==================================================================# def togglememorymode(): if(vars.mode == "play"): vars.mode = "memory" emit('from_server', {'cmd': 'memmode', 'data': 'true'}) emit('from_server', {'cmd': 'setinputtext', 'data': vars.memory}) emit('from_server', {'cmd': 'setanote', 'data': vars.authornote}) elif(vars.mode == "memory"): vars.mode = "play" emit('from_server', {'cmd': 'memmode', 'data': 'false'}) #==================================================================# # Toggles the game mode for WI editing and sends UI commands #==================================================================# def togglewimode(): if(vars.mode == "play"): vars.mode = "wi" emit('from_server', {'cmd': 'wimode', 'data': 'true'}) elif(vars.mode == "wi"): # Commit WI fields first requestwi() # Then set UI state back to Play vars.mode = "play" emit('from_server', {'cmd': 'wimode', 'data': 'false'}) #==================================================================# # #==================================================================# def addwiitem(): ob = {"key": "", "keysecondary": "", "content": "", "num": len(vars.worldinfo), "init": False, "selective": False} vars.worldinfo.append(ob); emit('from_server', {'cmd': 'addwiitem', 'data': ob}) #==================================================================# # #==================================================================# def sendwi(): # Cache len of WI ln = len(vars.worldinfo) # Clear contents of WI container emit('from_server', {'cmd': 'clearwi', 'data': ''}) # If there are no WI entries, send an empty WI object if(ln == 0): addwiitem() else: # Send contents of WI array for wi in vars.worldinfo: ob = wi emit('from_server', {'cmd': 'addwiitem', 'data': ob}) # Make sure last WI item is uninitialized if(vars.worldinfo[-1]["init"]): addwiitem() #==================================================================# # Request current contents of all WI HTML elements #==================================================================# def requestwi(): list = [] for wi in vars.worldinfo: list.append(wi["num"]) emit('from_server', {'cmd': 'requestwiitem', 'data': list}) #==================================================================# # Renumber WI items consecutively #==================================================================# def organizewi(): if(len(vars.worldinfo) > 0): count = 0 for wi in vars.worldinfo: wi["num"] = count count += 1 #==================================================================# # Extract object from server and send it to WI objects #==================================================================# def commitwi(ar): for ob in ar: vars.worldinfo[ob["num"]]["key"] = ob["key"] vars.worldinfo[ob["num"]]["keysecondary"] = ob["keysecondary"] vars.worldinfo[ob["num"]]["content"] = ob["content"] vars.worldinfo[ob["num"]]["selective"] = ob["selective"] # Was this a deletion request? If so, remove the requested index if(vars.deletewi >= 0): del vars.worldinfo[vars.deletewi] organizewi() # Send the new WI array structure sendwi() # And reset deletewi index vars.deletewi = -1 #==================================================================# # #==================================================================# def deletewi(num): if(num < len(vars.worldinfo)): # Store index of deletion request vars.deletewi = num # Get contents of WI HTML inputs requestwi() #==================================================================# # Look for WI keys in text to generator #==================================================================# def checkworldinfo(txt): # Dont go any further if WI is empty if(len(vars.worldinfo) == 0): return # Cache actions length ln = len(vars.actions) # Don't bother calculating action history if widepth is 0 if(vars.widepth > 0): depth = vars.widepth # If this is not a continue, add 1 to widepth since submitted # text is already in action history @ -1 if(txt != "" and vars.prompt != txt): txt = "" depth += 1 if(ln >= depth): txt = "".join(vars.actions[(depth*-1):]) elif(ln > 0): txt = vars.prompt + "".join(vars.actions[(depth*-1):]) elif(ln == 0): txt = vars.prompt # Scan text for matches on WI keys wimem = "" for wi in vars.worldinfo: if(wi["key"] != ""): # Split comma-separated keys keys = wi["key"].split(",") keys_secondary = wi.get("keysecondary", "").split(",") for k in keys: ky = k # Remove leading/trailing spaces if the option is enabled if(vars.wirmvwhtsp): ky = k.strip() if ky in txt: if wi.get("selective", False) and len(keys_secondary): found = False for ks in keys_secondary: ksy = ks if(vars.wirmvwhtsp): ksy = ks.strip() if ksy in txt: wimem = wimem + wi["content"] + "\n" found = True break if found: break else: wimem = wimem + wi["content"] + "\n" break return wimem #==================================================================# # Commit changes to Memory storage #==================================================================# def memsubmit(data): # Maybe check for length at some point # For now just send it to storage vars.memory = data vars.mode = "play" emit('from_server', {'cmd': 'memmode', 'data': 'false'}) # Ask for contents of Author's Note field emit('from_server', {'cmd': 'getanote', 'data': ''}) #==================================================================# # Commit changes to Author's Note #==================================================================# def anotesubmit(data): # Maybe check for length at some point # For now just send it to storage vars.authornote = data #==================================================================# # Assembles game data into a request to InferKit API #==================================================================# def ikrequest(txt): # Log request to console print("{0}Len:{1}, Txt:{2}{3}".format(colors.YELLOW, len(txt), txt, colors.END)) # Build request JSON data reqdata = { 'forceNoEnd': True, 'length': vars.ikgen, 'prompt': { 'isContinuation': False, 'text': txt }, 'startFromBeginning': False, 'streamResponse': False, 'temperature': vars.temp, 'topP': vars.top_p } # Create request req = requests.post( vars.url, json = reqdata, headers = { 'Authorization': 'Bearer '+vars.apikey } ) # Deal with the response if(req.status_code == 200): genout = req.json()["data"]["text"] print("{0}{1}{2}".format(colors.CYAN, genout, colors.END)) vars.actions.append(genout) refresh_story() emit('from_server', {'cmd': 'texteffect', 'data': len(vars.actions)}) set_aibusy(0) else: # Send error message to web client er = req.json() if("error" in er): code = er["error"]["extensions"]["code"] elif("errors" in er): code = er["errors"][0]["extensions"]["code"] errmsg = "InferKit API Error: {0} - {1}".format(req.status_code, code) emit('from_server', {'cmd': 'errmsg', 'data': errmsg}) set_aibusy(0) #==================================================================# # Assembles game data into a request to OpenAI API #==================================================================# def oairequest(txt, min, max): # Log request to console print("{0}Len:{1}, Txt:{2}{3}".format(colors.YELLOW, len(txt), txt, colors.END)) # Store context in memory to use it for comparison with generated content vars.lastctx = txt # Build request JSON data reqdata = { 'prompt': txt, 'max_tokens': max, 'temperature': vars.temp, 'top_p': vars.top_p, 'n': 1, 'stream': False } req = requests.post( vars.oaiurl, json = reqdata, headers = { 'Authorization': 'Bearer '+vars.oaiapikey, 'Content-Type': 'application/json' } ) # Deal with the response if(req.status_code == 200): genout = req.json()["choices"][0]["text"] print("{0}{1}{2}".format(colors.CYAN, genout, colors.END)) vars.actions.append(genout) refresh_story() emit('from_server', {'cmd': 'texteffect', 'data': len(vars.actions)}) set_aibusy(0) else: # Send error message to web client er = req.json() if("error" in er): type = er["error"]["type"] message = er["error"]["message"] errmsg = "OpenAI API Error: {0} - {1}".format(type, message) emit('from_server', {'cmd': 'errmsg', 'data': errmsg}) set_aibusy(0) #==================================================================# # Forces UI to Play mode #==================================================================# def exitModes(): if(vars.mode == "edit"): emit('from_server', {'cmd': 'editmode', 'data': 'false'}) elif(vars.mode == "memory"): emit('from_server', {'cmd': 'memmode', 'data': 'false'}) elif(vars.mode == "wi"): emit('from_server', {'cmd': 'wimode', 'data': 'false'}) vars.mode = "play" #==================================================================# # Launch in-browser save prompt #==================================================================# def saveas(name): # Check if filename exists already name = utils.cleanfilename(name) if(not fileops.saveexists(name) or (vars.saveow and vars.svowname == name)): # All clear to save saveRequest(getcwd()+"/stories/"+name+".json") emit('from_server', {'cmd': 'hidesaveas', 'data': ''}) vars.saveow = False vars.svowname = "" else: # File exists, prompt for overwrite vars.saveow = True vars.svowname = name emit('from_server', {'cmd': 'askforoverwrite', 'data': ''}) #==================================================================# # Save the currently running story #==================================================================# def save(): # Check if a file is currently open if(".json" in vars.savedir): saveRequest(vars.savedir) else: emit('from_server', {'cmd': 'saveas', 'data': ''}) #==================================================================# # Save the story via file browser #==================================================================# def savetofile(): savpath = fileops.getsavepath(vars.savedir, "Save Story As", [("Json", "*.json")]) saveRequest(savpath) #==================================================================# # Save the story to specified path #==================================================================# def saveRequest(savpath): if(savpath): # Leave Edit/Memory mode before continuing exitModes() # Save path for future saves vars.savedir = savpath # Build json to write js = {} js["gamestarted"] = vars.gamestarted js["prompt"] = vars.prompt js["memory"] = vars.memory js["authorsnote"] = vars.authornote js["actions"] = vars.actions js["worldinfo"] = [] # Extract only the important bits of WI for wi in vars.worldinfo: if(wi["key"] != ""): js["worldinfo"].append({ "key": wi["key"], "keysecondary": wi["keysecondary"], "content": wi["content"], "selective": wi["selective"] }) # Write it file = open(savpath, "w") try: file.write(json.dumps(js, indent=3)) finally: file.close() print("{0}Story saved to {1}!{2}".format(colors.GREEN, path.basename(savpath), colors.END)) #==================================================================# # Load a saved story via file browser #==================================================================# def getloadlist(): emit('from_server', {'cmd': 'buildload', 'data': fileops.getstoryfiles()}) #==================================================================# # Load a saved story via file browser #==================================================================# def loadfromfile(): loadpath = fileops.getloadpath(vars.savedir, "Select Story File", [("Json", "*.json")]) loadRequest(loadpath) #==================================================================# # Load a stored story from a file #==================================================================# def loadRequest(loadpath): if(loadpath): # Leave Edit/Memory mode before continuing exitModes() # Read file contents into JSON object file = open(loadpath, "r") js = json.load(file) # Copy file contents to vars vars.gamestarted = js["gamestarted"] vars.prompt = js["prompt"] vars.memory = js["memory"] vars.actions = js["actions"] vars.worldinfo = [] vars.lastact = "" vars.lastctx = "" # Try not to break older save files if("authorsnote" in js): vars.authornote = js["authorsnote"] else: vars.authornote = "" if("worldinfo" in js): num = 0 for wi in js["worldinfo"]: vars.worldinfo.append({ "key": wi["key"], "keysecondary": wi.get("keysecondary", ""), "content": wi["content"], "num": num, "init": True, "selective": wi.get("selective", False) }) num += 1 file.close() # Save path for save button vars.savedir = loadpath # Clear loadselect var vars.loadselect = "" # Refresh game screen sendwi() refresh_story() emit('from_server', {'cmd': 'setgamestate', 'data': 'ready'}) emit('from_server', {'cmd': 'hidegenseqs', 'data': ''}) print("{0}Story loaded from {1}!{2}".format(colors.GREEN, path.basename(loadpath), colors.END)) #==================================================================# # Import an AIDungon game exported with Mimi's tool #==================================================================# def importRequest(): importpath = fileops.getloadpath(vars.savedir, "Select AID CAT File", [("Json", "*.json")]) if(importpath): # Leave Edit/Memory mode before continuing exitModes() # Read file contents into JSON object file = open(importpath, "rb") vars.importjs = json.load(file) # If a bundle file is being imported, select just the Adventures object if type(vars.importjs) is dict and "stories" in vars.importjs: vars.importjs = vars.importjs["stories"] # Clear Popup Contents emit('from_server', {'cmd': 'clearpopup', 'data': ''}) # Initialize vars num = 0 vars.importnum = -1 # Get list of stories for story in vars.importjs: ob = {} ob["num"] = num if(story["title"] != "" and story["title"] != None): ob["title"] = story["title"] else: ob["title"] = "(No Title)" if(story["description"] != "" and story["description"] != None): ob["descr"] = story["description"] else: ob["descr"] = "(No Description)" if("actions" in story): ob["acts"] = len(story["actions"]) elif("actionWindow" in story): ob["acts"] = len(story["actionWindow"]) emit('from_server', {'cmd': 'addimportline', 'data': ob}) num += 1 # Show Popup emit('from_server', {'cmd': 'popupshow', 'data': True}) #==================================================================# # Import an AIDungon game selected in popup #==================================================================# def importgame(): if(vars.importnum >= 0): # Cache reference to selected game ref = vars.importjs[vars.importnum] # Copy game contents to vars vars.gamestarted = True # Support for different versions of export script if("actions" in ref): if(len(ref["actions"]) > 0): vars.prompt = ref["actions"][0]["text"] else: vars.prompt = "" elif("actionWindow" in ref): if(len(ref["actionWindow"]) > 0): vars.prompt = ref["actionWindow"][0]["text"] else: vars.prompt = "" else: vars.prompt = "" vars.memory = ref["memory"] vars.authornote = ref["authorsNote"] if type(ref["authorsNote"]) is str else "" vars.actions = [] vars.worldinfo = [] vars.lastact = "" vars.lastctx = "" # Get all actions except for prompt if("actions" in ref): if(len(ref["actions"]) > 1): for act in ref["actions"][1:]: vars.actions.append(act["text"]) elif("actionWindow" in ref): if(len(ref["actionWindow"]) > 1): for act in ref["actionWindow"][1:]: vars.actions.append(act["text"]) # Get just the important parts of world info if(ref["worldInfo"] != None): if(len(ref["worldInfo"]) > 1): num = 0 for wi in ref["worldInfo"]: vars.worldinfo.append({ "key": wi["keys"], "keysecondary": wi.get("keysecondary", ""), "content": wi["entry"], "num": num, "init": True, "selective": wi.get("selective", False) }) num += 1 # Clear import data vars.importjs = {} # Reset current save vars.savedir = getcwd()+"\stories" # Refresh game screen sendwi() refresh_story() emit('from_server', {'cmd': 'setgamestate', 'data': 'ready'}) emit('from_server', {'cmd': 'hidegenseqs', 'data': ''}) #==================================================================# # Import an aidg.club prompt and start a new game with it. #==================================================================# def importAidgRequest(id): exitModes() urlformat = "https://prompts.aidg.club/api/" req = requests.get(urlformat+id) if(req.status_code == 200): js = req.json() # Import game state vars.gamestarted = True vars.prompt = js["promptContent"] vars.memory = js["memory"] vars.authornote = js["authorsNote"] vars.actions = [] vars.worldinfo = [] vars.lastact = "" vars.lastctx = "" num = 0 for wi in js["worldInfos"]: vars.worldinfo.append({ "key": wi["keys"], "keysecondary": wi.get("keysecondary", ""), "content": wi["entry"], "num": num, "init": True, "selective": wi.get("selective", False) }) num += 1 # Reset current save vars.savedir = getcwd()+"\stories" # Refresh game screen sendwi() refresh_story() emit('from_server', {'cmd': 'setgamestate', 'data': 'ready'}) #==================================================================# # Import World Info JSON file #==================================================================# def wiimportrequest(): importpath = fileops.getloadpath(vars.savedir, "Select World Info File", [("Json", "*.json")]) if(importpath): file = open(importpath, "rb") js = json.load(file) if(len(js) > 0): # If the most recent WI entry is blank, remove it. if(not vars.worldinfo[-1]["init"]): del vars.worldinfo[-1] # Now grab the new stuff num = len(vars.worldinfo) for wi in js: vars.worldinfo.append({ "key": wi["keys"], "keysecondary": wi.get("keysecondary", ""), "content": wi["entry"], "num": num, "init": True, "selective": wi.get("selective", False) }) num += 1 print("{0}".format(vars.worldinfo[0])) # Refresh game screen sendwi() #==================================================================# # Starts a new story #==================================================================# def newGameRequest(): # Leave Edit/Memory mode before continuing exitModes() # Clear vars values vars.gamestarted = False vars.prompt = "" vars.memory = "" vars.actions = [] vars.authornote = "" vars.worldinfo = [] vars.lastact = "" vars.lastctx = "" # Reset current save vars.savedir = getcwd()+"\stories" # Refresh game screen sendwi() setStartState() def randomGameRequest(topic): newGameRequest() vars.memory = "You generate the following " + topic + " story concept :" actionsubmit("") vars.memory = "" #==================================================================# # Final startup commands to launch Flask app #==================================================================# if __name__ == "__main__": # Load settings from client.settings loadsettings() # Start Flask/SocketIO (Blocking, so this must be last method!) print("{0}Server started!\rYou may now connect with a browser at http://127.0.0.1:5000/{1}".format(colors.GREEN, colors.END)) #socketio.run(app, host='0.0.0.0', port=5000) socketio.run(app)