feat: Create a custom txt translation option
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3 changed files with 256 additions and 4 deletions
17
src/main.py
17
src/main.py
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@ -7,6 +7,7 @@ import os
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from src.rpgmakermvmz import handleMVMZ
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from src.rpgmakerace import handleACE
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from src.csvtl import handleCSV
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from src.textfile import handleTextfile
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THREADS = 20
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@ -28,7 +29,7 @@ def main():
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totalCost = 0
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version = ''
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while version == '':
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version = input('Select the RPGMaker Version:\n\n1. MV/MZ\n2. ACE\n3. CSV (From Translator++)\n')
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version = input('Select the RPGMaker Version:\n\n1. MV/MZ\n2. ACE\n3. CSV (From Translator++)\n4. Text (Custom)\n')
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match version:
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case '1':
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# Open File (Threads)
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@ -70,6 +71,20 @@ def main():
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tracebackLineNo = str(traceback.extract_tb(sys.exc_info()[2])[-1].lineno)
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print(Fore.RED + str(e) + '|' + tracebackLineNo + Fore.RESET)
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case '4':
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# Open File (Threads)
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with ThreadPoolExecutor(max_workers=THREADS) as executor:
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futures = [executor.submit(handleTextfile, filename, estimate) \
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for filename in os.listdir("files") if filename.endswith('txt')]
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for future in as_completed(futures):
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try:
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totalCost = future.result()
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except Exception as e:
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tracebackLineNo = str(traceback.extract_tb(sys.exc_info()[2])[-1].lineno)
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print(Fore.RED + str(e) + '|' + tracebackLineNo + Fore.RESET)
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case _:
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version = ''
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@ -25,7 +25,7 @@ APICOST = .002 # Depends on the model https://openai.com/pricing
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PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
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THREADS = 20
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LOCK = threading.Lock()
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WIDTH = 60
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WIDTH = 55
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LISTWIDTH = 75
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MAXHISTORY = 10
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ESTIMATE = ''
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@ -443,10 +443,10 @@ def searchCodes(page, pbar):
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# Translate
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if speaker != '':
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response = translateGPT(finalJAString, 'Previous text for context: ' + ' '.join(textHistory) \
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response = translateGPT(finalJAString, 'Previous Text for Context: ' + ' '.join(textHistory) \
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+ '\n\n\n###\n\n\nCurrent Speaker: ' + speaker, True)
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else:
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response = translateGPT(finalJAString, 'Previous text for context: ' + ' '.join(textHistory), True)
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response = translateGPT(finalJAString, 'Previous Text for Context: ' + ' '.join(textHistory), True)
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tokens += response[1]
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translatedText = response[0]
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237
src/textfile.py
Normal file
237
src/textfile.py
Normal file
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@ -0,0 +1,237 @@
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from concurrent.futures import ThreadPoolExecutor, as_completed
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import json
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import os
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from pathlib import Path
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import re
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import sys
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import textwrap
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import threading
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import time
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import traceback
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import tiktoken
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from colorama import Fore
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from dotenv import load_dotenv
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import openai
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from retry import retry
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from tqdm import tqdm
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#Globals
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load_dotenv()
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openai.organization = os.getenv('org')
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openai.api_key = os.getenv('key')
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APICOST = .002 # Depends on the model https://openai.com/pricing
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PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
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THREADS = 20
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LOCK = threading.Lock()
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WIDTH = 72
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LISTWIDTH = 75
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MAXHISTORY = 10
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ESTIMATE = ''
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TOTALCOST = 0
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TOKENS = 0
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TOTALTOKENS = 0
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#tqdm Globals
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BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
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POSITION=0
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LEAVE=False
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# Flags
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CODE401 = True
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CODE102 = True
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CODE122 = False
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CODE101 = False
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CODE355655 = False
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CODE357 = False
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CODE356 = False
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CODE320 = False
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CODE111 = False
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def handleTextfile(filename, estimate):
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global ESTIMATE, TOKENS, TOTALTOKENS, TOTALCOST
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ESTIMATE = estimate
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if estimate:
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start = time.time()
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translatedData = openFiles(filename)
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# Print Result
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end = time.time()
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tqdm.write(getResultString(['', TOKENS, None], end - start, filename))
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with LOCK:
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TOTALCOST += TOKENS * .001 * APICOST
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TOTALTOKENS += TOKENS
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TOKENS = 0
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return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
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else:
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with open('translated/' + filename, 'w', encoding='UTF-8') as outFile:
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start = time.time()
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translatedData = openFiles(filename)
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# Print Result
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end = time.time()
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outFile.writelines(translatedData[0])
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tqdm.write(getResultString(translatedData, end - start, filename))
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with LOCK:
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TOTALCOST += translatedData[1] * .001 * APICOST
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TOTALTOKENS += translatedData[1]
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return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
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def openFiles(filename):
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with open('files/' + filename, 'r', encoding='UTF-8') as f:
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translatedData = parseText(f, filename)
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return translatedData
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def getResultString(translatedData, translationTime, filename):
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# File Print String
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tokenString = Fore.YELLOW + '[' + str(translatedData[1]) + \
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' Tokens/${:,.4f}'.format(translatedData[1] * .001 * APICOST) + ']'
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timeString = Fore.BLUE + '[' + str(round(translationTime, 1)) + 's]'
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if translatedData[2] == None:
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# Success
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return filename + ': ' + tokenString + timeString + Fore.GREEN + u' \u2713 ' + Fore.RESET
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else:
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# Fail
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try:
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raise translatedData[2]
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except Exception as e:
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errorString = str(e) + Fore.RED
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return filename + ': ' + tokenString + timeString + Fore.RED + u' \u2717 ' +\
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errorString + Fore.RESET
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def parseText(data, filename):
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totalTokens = 0
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totalLines = 0
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global LOCK
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# Get total for progress bar
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linesList = data.readlines()
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totalLines = len(linesList)
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with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
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pbar.desc=filename
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pbar.total=totalLines
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try:
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response = translateText(linesList, pbar)
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except Exception as e:
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return [linesList, 0, e]
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return [response[0], response[1], None]
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def translateText(data, pbar):
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textHistory = []
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maxHistory = MAXHISTORY
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tokens = 0
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speaker = ''
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speakerFlag = False
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for i in range(len(data)):
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if '◆' in data[i]:
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jaString = data[i]
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### Translate
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# Remove any textwrap
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jaString = re.sub(r'\\n', ' ', jaString)
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# Check if speaker
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if '◆A' in jaString:
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speakerFlag = True
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# Need to remove outside code and put it back later
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startString = re.search(r'^◆[a-zA-Z0-9]+◆', jaString)
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jaString = re.sub(r'^◆[a-zA-Z0-9]+◆', '', jaString)
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endString = re.search(r'\n$', jaString)
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jaString = re.sub(r'\n$', '', jaString)
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if startString is None: startString = ''
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else: startString = startString.group()
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if endString is None: endString = ''
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else: endString = endString.group()
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# Remove Repeating Chars
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jaString = re.sub(r'([\u3000-\uffef])\1{1,}', r'\1', jaString)
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# Translate
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if speaker != '':
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response = translateGPT(jaString, 'Previous Text for Context: ' + ' '.join(textHistory) \
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+ '\n\n\n###\n\n\nCurrent Speaker: ' + speaker, True)
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else:
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response = translateGPT(jaString, 'Previous Text for Context: ' + ' '.join(textHistory), True)
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tokens += response[1]
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translatedText = response[0]
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# TextHistory is what we use to give GPT Context, so thats appended here.
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# rawTranslatedText = re.sub(r'[\\<>]+[a-zA-Z]+\[[a-zA-Z0-9]+\]', '', translatedText)
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if speaker != '':
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textHistory.append(speaker + ': ' + translatedText)
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elif speakerFlag == False:
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textHistory.append('\"' + translatedText + '\"')
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# Keep textHistory list at length maxHistory
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if len(textHistory) > maxHistory:
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textHistory.pop(0)
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# Textwrap
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translatedText = textwrap.fill(translatedText, width=WIDTH)
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translatedText = translatedText.replace('\n','\\n')
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speaker = ''
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# Setup Speaker
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if speakerFlag == True:
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# Remove characters that may break scripts
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charList = ['.', '\"']
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for char in charList:
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translatedText = translatedText.replace(char, '')
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speaker = translatedText
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speakerFlag = False
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# Write
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data[i] = startString + translatedText + endString
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pbar.update()
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return [data, tokens]
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@retry(exceptions=Exception, tries=5, delay=5)
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def translateGPT(t, history, fullPromptFlag):
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with LOCK:
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# If ESTIMATE is True just count this as an execution and return.
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if ESTIMATE:
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global TOKENS
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enc = tiktoken.encoding_for_model("gpt-3.5-turbo")
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TOKENS += len(enc.encode(t)) * 2 + len(enc.encode(history)) + len(enc.encode(PROMPT))
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return (t, 0)
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# If there isn't any Japanese in the text just skip
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if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴ]+', t):
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return(t, 0)
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"""Translate text using GPT"""
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if fullPromptFlag:
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system = PROMPT + history
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else:
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system = 'You are going to pretend to be Japanese visual novel translator, \
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editor, and localizer. ' + history
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response = openai.ChatCompletion.create(
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temperature=0,
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": system},
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{"role": "user", "content": "Text to Translate: " + t}
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],
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request_timeout=30,
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)
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# Make sure translation didn't wonk out
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mlen=len(response.choices[0].message.content)
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elnt=10*len(t)
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if len(response.choices[0].message.content) > 9 * len(t):
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return [t, response.usage.total_tokens]
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else:
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return [response.choices[0].message.content, response.usage.total_tokens]
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