Get Lune parser working
This commit is contained in:
parent
ca578dc874
commit
208d79ac25
4 changed files with 376 additions and 616 deletions
|
|
@ -154,7 +154,7 @@ def translateJSON(data, pbar):
|
|||
# Speaker
|
||||
if 'name' in item:
|
||||
if item['name'] not in [None, '-']:
|
||||
response = translateGPT(item['name'], 'Reply with only the '+ LANGUAGE +' translation of the NPC name', False)
|
||||
response = getSpeaker(item['name'])
|
||||
speaker = response[0]
|
||||
tokens[0] += response[1][0]
|
||||
tokens[1] += response[1][1]
|
||||
|
|
@ -258,7 +258,22 @@ def translateJSON(data, pbar):
|
|||
batch.clear()
|
||||
|
||||
currentGroup = []
|
||||
return tokens
|
||||
return tokens
|
||||
|
||||
# Save some money and enter the character before translation
|
||||
def getSpeaker(speaker):
|
||||
match speaker:
|
||||
case 'セレナ':
|
||||
return ['Serena', [0,0]]
|
||||
case 'レナ':
|
||||
return ['Rena', [0,0]]
|
||||
case 'フィルス':
|
||||
return ['Phils', [0,0]]
|
||||
case 'レイン':
|
||||
return ['Meryl', [0,0]]
|
||||
case _:
|
||||
return translateGPT(speaker, 'Reply with only the '+ LANGUAGE +' translation of the NPC name.', False)
|
||||
|
||||
|
||||
def subVars(jaString):
|
||||
jaString = jaString.replace('\u3000', ' ')
|
||||
|
|
@ -381,22 +396,40 @@ def batchList(input_list, batch_size):
|
|||
|
||||
def createContext(fullPromptFlag, subbedT):
|
||||
characters = 'Game Characters:\n\
|
||||
林つかさ (Tsukasa Hayashi) - Female\n\
|
||||
山田美兎 (Miyato Yamada) - Female\n\
|
||||
鈴木赤音 (Akane Suzuki) - Female\n\
|
||||
佐藤莉伊南 (Riina Satou) - Female\n\
|
||||
佐々木万梨美 (Marimi Sasaki) - Female\n\
|
||||
渡辺登樹子 (Tokiko Watanabe) - Female\n\
|
||||
桃乃夢 (Yume Momono) - Female\n\
|
||||
吉浦美雪 (Miyuki Yoshiura) - Female\n\
|
||||
三ツ門まあな (Maana Mitsukado) - Female\n\
|
||||
モリー・ボイド (Molly Boyd) - Female\n\
|
||||
オルガ・ブヤチッチ (Olga Buyachich) - Female\n\
|
||||
アッチャラー ギッティ (Atchara Gitti) - Female\n\
|
||||
ルナリア (Lunaria) - Female\n\
|
||||
ソニア (Sonia) - Female\n\
|
||||
マナ (Mana) - Female\n\
|
||||
マリアナ (Mariana) - Female\n\
|
||||
ディアナ (Diana) - Female\n\
|
||||
シャーリー (Shirley) - Female\n\
|
||||
エスティア (Estia) - Female\n\
|
||||
エレノア (Eleanor) - Female\n\
|
||||
メリス (Meris) - Female\n\
|
||||
サルビア (Salvia) - Female\n\
|
||||
リリ (Lili) - Female\n\
|
||||
ツキハ (Tsukiha) - Female\n\
|
||||
フィリカ (Filica) - Female\n\
|
||||
レノ (Renno) - Female\n\
|
||||
'
|
||||
|
||||
system = PROMPT if fullPromptFlag else \
|
||||
f'Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`'
|
||||
f"\
|
||||
You are an expert Eroge Game translator who translates Japanese text to English.\n\
|
||||
You are going to be translating text from a videogame.\n\
|
||||
I will give you lines of text, and you must translate each line to the best of your ability.\n\
|
||||
- Translate 'マンコ' as 'pussy'\n\
|
||||
- Translate 'おまんこ' as 'pussy'\n\
|
||||
- Translate 'お尻' as 'butt'\n\
|
||||
- Translate '尻' as 'ass'\n\
|
||||
- Translate 'お股' as 'crotch'\n\
|
||||
- Translate '秘部' as 'genitals'\n\
|
||||
- Translate 'チンポ' as 'dick'\n\
|
||||
- Translate 'チンコ' as 'cock'\n\
|
||||
- Translate 'ショーツ' as 'panties\n\
|
||||
- Translate 'おねショタ' as 'Onee-shota'\n\
|
||||
- Translate 'よかった' as 'thank goodness'\n\
|
||||
Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`\
|
||||
"
|
||||
user = f'{subbedT}'
|
||||
return characters, system, user
|
||||
|
||||
|
|
@ -418,6 +451,7 @@ def translateText(characters, system, user, history):
|
|||
response = openai.chat.completions.create(
|
||||
temperature=0.1,
|
||||
frequency_penalty=0.1,
|
||||
presence_penalty=0.1,
|
||||
model=MODEL,
|
||||
messages=msg,
|
||||
)
|
||||
|
|
@ -439,13 +473,10 @@ def cleanTranslatedText(translatedText, varResponse):
|
|||
translatedText = translatedText.replace(target, replacement)
|
||||
|
||||
translatedText = resubVars(translatedText, varResponse[1])
|
||||
if '\n' in translatedText:
|
||||
return [line for line in translatedText.split('\n') if line]
|
||||
else:
|
||||
return [line for line in translatedText.split('\\n') if line]
|
||||
return [line for line in translatedText.split('\n') if line]
|
||||
|
||||
def extractTranslation(translatedTextList, is_list):
|
||||
pattern = r'<Line(\d+)>[\\]*`?(.*?)[\\]*?`?</?Line\d+>'
|
||||
pattern = r'`?<Line(\d+)>([\\]*.*?[\\]*?)<\/?Line\d+>`?'
|
||||
# If it's a batch (i.e., list), extract with tags; otherwise, return the single item.
|
||||
if is_list:
|
||||
return [re.findall(pattern, line)[0][1] for line in translatedTextList if re.search(pattern, line)]
|
||||
|
|
@ -489,7 +520,7 @@ def translateGPT(text, history, fullPromptFlag):
|
|||
for index, tItem in enumerate(tList):
|
||||
# Before sending to translation, if we have a list of items, add the formatting
|
||||
if isinstance(tItem, list):
|
||||
payload = '\n'.join([f'<Line{i}>`{item}`</Line{i}>' for i, item in enumerate(tItem)])
|
||||
payload = '\n'.join([f'`<Line{i}>{item}</Line{i}>`' for i, item in enumerate(tItem)])
|
||||
payload = payload.replace('``', '`Placeholder Text`')
|
||||
varResponse = subVars(payload)
|
||||
subbedT = varResponse[0]
|
||||
|
|
@ -531,4 +562,4 @@ def translateGPT(text, history, fullPromptFlag):
|
|||
tList[index] = extractedTranslations
|
||||
|
||||
finalList = combineList(tList, text)
|
||||
return [finalList, totalTokens]
|
||||
return [finalList, totalTokens]
|
||||
482
modules/lune.py
482
modules/lune.py
|
|
@ -1,51 +1,54 @@
|
|||
import json
|
||||
import os
|
||||
# Libraries
|
||||
import json, os, re, textwrap, threading, time, traceback, tiktoken, openai
|
||||
from pathlib import Path
|
||||
import re
|
||||
import sys
|
||||
import textwrap
|
||||
import threading
|
||||
import time
|
||||
import traceback
|
||||
import tiktoken
|
||||
|
||||
from colorama import Fore
|
||||
from dotenv import load_dotenv
|
||||
import openai
|
||||
from retry import retry
|
||||
from tqdm import tqdm
|
||||
|
||||
#Globals
|
||||
# Open AI
|
||||
load_dotenv()
|
||||
if os.getenv('api').replace(' ', '') != '':
|
||||
openai.api_base = os.getenv('api')
|
||||
|
||||
openai.organization = os.getenv('org')
|
||||
openai.api_key = os.getenv('key')
|
||||
|
||||
#Globals
|
||||
MODEL = os.getenv('model')
|
||||
TIMEOUT = int(os.getenv('timeout'))
|
||||
LANGUAGE=os.getenv('language').capitalize()
|
||||
|
||||
INPUTAPICOST = .002 # Depends on the model https://openai.com/pricing
|
||||
OUTPUTAPICOST = .002
|
||||
LANGUAGE = os.getenv('language').capitalize()
|
||||
PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
|
||||
THREADS = int(os.getenv('threads')) # Controls how many threads are working on a single file (May have to drop this)
|
||||
THREADS = int(os.getenv('threads'))
|
||||
LOCK = threading.Lock()
|
||||
WIDTH = int(os.getenv('width'))
|
||||
LISTWIDTH = int(os.getenv('listWidth'))
|
||||
NOTEWIDTH = 50
|
||||
NOTEWIDTH = 70
|
||||
MAXHISTORY = 10
|
||||
ESTIMATE = ''
|
||||
totalTokens = [0, 0]
|
||||
TOKENS = [0, 0]
|
||||
NAMESLIST = []
|
||||
NAMES = False # Output a list of all the character names found
|
||||
BRFLAG = False # If the game uses <br> instead
|
||||
FIXTEXTWRAP = True # Overwrites textwrap
|
||||
IGNORETLTEXT = False # Ignores all translated text.
|
||||
MISMATCH = [] # Lists files that throw a mismatch error (Length of GPT list response is wrong)
|
||||
|
||||
#tqdm Globals
|
||||
BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
|
||||
POSITION=0
|
||||
LEAVE=False
|
||||
BRFLAG = False # If the game uses <br> instead
|
||||
FIXTEXTWRAP = True
|
||||
IGNORETLTEXT = False
|
||||
POSITION = 0
|
||||
LEAVE = False
|
||||
|
||||
# Pricing - Depends on the model https://openai.com/pricing
|
||||
# Batch Size - GPT 3.5 Struggles past 15 lines per request. GPT4 struggles past 50 lines per request
|
||||
# If you are getting a MISMATCH LENGTH error, lower the batch size.
|
||||
if 'gpt-3.5' in MODEL:
|
||||
INPUTAPICOST = .002
|
||||
OUTPUTAPICOST = .002
|
||||
BATCHSIZE = 10
|
||||
elif 'gpt-4' in MODEL:
|
||||
INPUTAPICOST = .01
|
||||
OUTPUTAPICOST = .03
|
||||
BATCHSIZE = 50
|
||||
|
||||
def handleLune(filename, estimate):
|
||||
global ESTIMATE, totalTokens
|
||||
|
|
@ -59,10 +62,10 @@ def handleLune(filename, estimate):
|
|||
end = time.time()
|
||||
tqdm.write(getResultString(translatedData, end - start, filename))
|
||||
with LOCK:
|
||||
totalTokens[0] += translatedData[1][0]
|
||||
totalTokens[1] += translatedData[1][1]
|
||||
TOKENS[0] += translatedData[1][0]
|
||||
TOKENS[1] += translatedData[1][1]
|
||||
|
||||
return getResultString(['', totalTokens, None], end - start, 'TOTAL')
|
||||
return getResultString(['', TOKENS, None], end - start, 'TOTAL')
|
||||
|
||||
else:
|
||||
try:
|
||||
|
|
@ -75,12 +78,12 @@ def handleLune(filename, estimate):
|
|||
json.dump(translatedData[0], outFile, ensure_ascii=False)
|
||||
tqdm.write(getResultString(translatedData, end - start, filename))
|
||||
with LOCK:
|
||||
totalTokens[0] += translatedData[1][0]
|
||||
totalTokens[1] += translatedData[1][1]
|
||||
TOKENS[0] += translatedData[1][0]
|
||||
TOKENS[1] += translatedData[1][1]
|
||||
except Exception as e:
|
||||
return 'Fail'
|
||||
|
||||
return getResultString(['', totalTokens, None], end - start, 'TOTAL')
|
||||
return getResultString(['', TOKENS, None], end - start, 'TOTAL')
|
||||
|
||||
def openFiles(filename):
|
||||
with open('files/' + filename, 'r', encoding='UTF-8-sig') as f:
|
||||
|
|
@ -133,21 +136,25 @@ def parseJSON(data, filename):
|
|||
totalTokens[0] += result[0]
|
||||
totalTokens[1] += result[1]
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
return [data, totalTokens, e]
|
||||
return [data, totalTokens, None]
|
||||
|
||||
def translateJSON(data, pbar):
|
||||
textHistory = []
|
||||
batch = []
|
||||
maxHistory = MAXHISTORY
|
||||
tokens = [0, 0]
|
||||
speaker = 'None'
|
||||
insertBool = False
|
||||
i = 0
|
||||
batchStartIndex = 0
|
||||
|
||||
for item in data:
|
||||
while i < len(data):
|
||||
item = data[i]
|
||||
# Speaker
|
||||
if 'name' in item:
|
||||
if item['name'] not in [None, '-']:
|
||||
response = translateGPT(item['name'], 'Reply with only the '+ LANGUAGE +' translation of the NPC name', False)
|
||||
response = getSpeaker(item['name'])
|
||||
speaker = response[0]
|
||||
tokens[0] += response[1][0]
|
||||
tokens[1] += response[1][1]
|
||||
|
|
@ -157,51 +164,132 @@ def translateJSON(data, pbar):
|
|||
|
||||
# Text
|
||||
if 'message' in item:
|
||||
if item['message'] != None:
|
||||
jaString = item['message']
|
||||
for text in ['text', 'text2', 'help1', 'help2', 'help3', 'like', 'message', 'me']:
|
||||
if text in item:
|
||||
if item[text] != None:
|
||||
jaString = item[text]
|
||||
|
||||
# Remove any textwrap
|
||||
if FIXTEXTWRAP == True:
|
||||
jaString = jaString.replace('\n', ' ')
|
||||
# Remove any textwrap
|
||||
if FIXTEXTWRAP == True:
|
||||
finalJAString = jaString.replace('\n', ' ')
|
||||
|
||||
# Translate
|
||||
if jaString != '':
|
||||
response = translateGPT(f'{speaker}: {jaString}', textHistory, True)
|
||||
tokens[0] += response[1][0]
|
||||
tokens[1] += response[1][1]
|
||||
translatedText = response[0]
|
||||
textHistory.append('\"' + translatedText + '\"')
|
||||
else:
|
||||
translatedText = jaString
|
||||
textHistory.append('\"' + translatedText + '\"')
|
||||
# [Passthrough 1] Pulling From File
|
||||
if insertBool is False:
|
||||
# Append to List and Clear Values
|
||||
batch.append(finalJAString)
|
||||
speaker = ''
|
||||
|
||||
# Remove added speaker
|
||||
translatedText = re.sub(r'^.+?\s\|\s?', '', translatedText)
|
||||
# Translate Batch if Full
|
||||
if len(batch) == BATCHSIZE:
|
||||
# Translate
|
||||
response = translateGPT(batch, textHistory, True)
|
||||
tokens[0] += response[1][0]
|
||||
tokens[1] += response[1][1]
|
||||
translatedBatch = response[0]
|
||||
textHistory = translatedBatch[-10:]
|
||||
|
||||
# Textwrap
|
||||
translatedText = textwrap.fill(translatedText, width=WIDTH)
|
||||
# Set Values
|
||||
if len(batch) == len(translatedBatch):
|
||||
i = batchStartIndex
|
||||
insertBool = True
|
||||
|
||||
# Set Data
|
||||
item['message'] = translatedText
|
||||
# Mismatch
|
||||
else:
|
||||
pbar.write(f'Mismatch: {batchStartIndex} - {i}')
|
||||
MISMATCH.append(batch)
|
||||
batchStartIndex = i
|
||||
batch.clear()
|
||||
|
||||
# Keep textHistory list at length maxHistory
|
||||
if len(textHistory) > maxHistory:
|
||||
textHistory.pop(0)
|
||||
currentGroup = []
|
||||
pbar.update(1)
|
||||
if insertBool is False:
|
||||
pbar.update(1)
|
||||
i += 1
|
||||
|
||||
currentGroup = []
|
||||
|
||||
return tokens
|
||||
# [Passthrough 2] Setting Data
|
||||
else:
|
||||
# Get Text
|
||||
translatedText = translatedBatch[0]
|
||||
|
||||
# Remove added speaker
|
||||
translatedText = re.sub(r'^.+?:\s', '', translatedText)
|
||||
|
||||
# Textwrap
|
||||
translatedText = textwrap.fill(translatedText, width=WIDTH)
|
||||
|
||||
# Set Text
|
||||
item[text] = translatedText
|
||||
translatedBatch.pop(0)
|
||||
speaker = ''
|
||||
currentGroup = []
|
||||
i += 1
|
||||
|
||||
# If Batch is empty. Move on.
|
||||
if len(translatedBatch) == 0:
|
||||
insertBool = False
|
||||
batchStartIndex = i
|
||||
batch.clear()
|
||||
else:
|
||||
i += 1
|
||||
pbar.update(1)
|
||||
|
||||
# Translate Batch if not empty and EOF
|
||||
if len(batch) != 0 and i >= len(data):
|
||||
# Translate
|
||||
response = translateGPT(batch, textHistory, True)
|
||||
tokens[0] += response[1][0]
|
||||
tokens[1] += response[1][1]
|
||||
translatedBatch = response[0]
|
||||
textHistory = translatedBatch[-10:]
|
||||
|
||||
# Set Values
|
||||
if len(batch) == len(translatedBatch):
|
||||
i = batchStartIndex
|
||||
insertBool = True
|
||||
|
||||
# Mismatch
|
||||
else:
|
||||
pbar.write(f'Mismatch: {batchStartIndex} - {i}')
|
||||
MISMATCH.append(batch)
|
||||
batchStartIndex = i
|
||||
batch.clear()
|
||||
|
||||
currentGroup = []
|
||||
return tokens
|
||||
|
||||
# Save some money and enter the character before translation
|
||||
def getSpeaker(speaker):
|
||||
match speaker:
|
||||
case 'セレナ':
|
||||
return ['Serena', [0,0]]
|
||||
case 'レナ':
|
||||
return ['Rena', [0,0]]
|
||||
case 'フィルス':
|
||||
return ['Phils', [0,0]]
|
||||
case 'レイン':
|
||||
return ['Meryl', [0,0]]
|
||||
case _:
|
||||
return translateGPT(speaker, 'Reply with only the '+ LANGUAGE +' translation of the NPC name.', False)
|
||||
|
||||
def subVars(jaString):
|
||||
jaString = jaString.replace('\u3000', ' ')
|
||||
|
||||
# Nested
|
||||
count = 0
|
||||
nestedList = re.findall(r'[\\]+[\w]+\[[\\]+[\w]+\[[0-9]+\]\]', jaString)
|
||||
nestedList = set(nestedList)
|
||||
if len(nestedList) != 0:
|
||||
for icon in nestedList:
|
||||
jaString = jaString.replace(icon, '{Nested_' + str(count) + '}')
|
||||
count += 1
|
||||
|
||||
# Icons
|
||||
count = 0
|
||||
iconList = re.findall(r'[\\]+[iIkKwW]+\[[0-9]+\]', jaString)
|
||||
iconList = re.findall(r'[\\]+[iIkKwWaA]+\[[0-9]+\]', jaString)
|
||||
iconList = set(iconList)
|
||||
if len(iconList) != 0:
|
||||
for icon in iconList:
|
||||
jaString = jaString.replace(icon, '[Ascii_' + str(count) + ']')
|
||||
jaString = jaString.replace(icon, '{Ascii_' + str(count) + '}')
|
||||
count += 1
|
||||
|
||||
# Colors
|
||||
|
|
@ -210,7 +298,7 @@ def subVars(jaString):
|
|||
colorList = set(colorList)
|
||||
if len(colorList) != 0:
|
||||
for color in colorList:
|
||||
jaString = jaString.replace(color, '[Color_' + str(count) + ']')
|
||||
jaString = jaString.replace(color, '{Color_' + str(count) + '}')
|
||||
count += 1
|
||||
|
||||
# Names
|
||||
|
|
@ -219,7 +307,7 @@ def subVars(jaString):
|
|||
nameList = set(nameList)
|
||||
if len(nameList) != 0:
|
||||
for name in nameList:
|
||||
jaString = jaString.replace(name, '[N_' + str(count) + ']')
|
||||
jaString = jaString.replace(name, '{Noun_' + str(count) + '}')
|
||||
count += 1
|
||||
|
||||
# Variables
|
||||
|
|
@ -228,22 +316,20 @@ def subVars(jaString):
|
|||
varList = set(varList)
|
||||
if len(varList) != 0:
|
||||
for var in varList:
|
||||
jaString = jaString.replace(var, '[Var_' + str(count) + ']')
|
||||
jaString = jaString.replace(var, '{Var_' + str(count) + '}')
|
||||
count += 1
|
||||
|
||||
# Formatting
|
||||
count = 0
|
||||
if '笑えるよね.' in jaString:
|
||||
print('t')
|
||||
formatList = re.findall(r'[\\]+CL', jaString)
|
||||
formatList = re.findall(r'[\\]+[\w]+\[.+?\]', jaString)
|
||||
formatList = set(formatList)
|
||||
if len(formatList) != 0:
|
||||
for var in formatList:
|
||||
jaString = jaString.replace(var, '[FCode_' + str(count) + ']')
|
||||
jaString = jaString.replace(var, '{FCode_' + str(count) + '}')
|
||||
count += 1
|
||||
|
||||
# Put all lists in list and return
|
||||
allList = [iconList, colorList, nameList, varList, formatList]
|
||||
allList = [nestedList, iconList, colorList, nameList, varList, formatList]
|
||||
return [jaString, allList]
|
||||
|
||||
def resubVars(translatedText, allList):
|
||||
|
|
@ -254,132 +340,206 @@ def resubVars(translatedText, allList):
|
|||
text = match.strip()
|
||||
translatedText = translatedText.replace(match, text)
|
||||
|
||||
# Icons
|
||||
# Nested
|
||||
count = 0
|
||||
if len(allList[0]) != 0:
|
||||
for var in allList[0]:
|
||||
translatedText = translatedText.replace('[Ascii_' + str(count) + ']', var)
|
||||
translatedText = translatedText.replace('{Nested_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Icons
|
||||
count = 0
|
||||
if len(allList[1]) != 0:
|
||||
for var in allList[1]:
|
||||
translatedText = translatedText.replace('{Ascii_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Colors
|
||||
count = 0
|
||||
if len(allList[1]) != 0:
|
||||
for var in allList[1]:
|
||||
translatedText = translatedText.replace('[Color_' + str(count) + ']', var)
|
||||
if len(allList[2]) != 0:
|
||||
for var in allList[2]:
|
||||
translatedText = translatedText.replace('{Color_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Names
|
||||
count = 0
|
||||
if len(allList[2]) != 0:
|
||||
for var in allList[2]:
|
||||
translatedText = translatedText.replace('[N_' + str(count) + ']', var)
|
||||
if len(allList[3]) != 0:
|
||||
for var in allList[3]:
|
||||
translatedText = translatedText.replace('{Noun_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Vars
|
||||
count = 0
|
||||
if len(allList[3]) != 0:
|
||||
for var in allList[3]:
|
||||
translatedText = translatedText.replace('[Var_' + str(count) + ']', var)
|
||||
if len(allList[4]) != 0:
|
||||
for var in allList[4]:
|
||||
translatedText = translatedText.replace('{Var_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Formatting
|
||||
count = 0
|
||||
if len(allList[4]) != 0:
|
||||
for var in allList[4]:
|
||||
translatedText = translatedText.replace('[FCode_' + str(count) + ']', var)
|
||||
if len(allList[5]) != 0:
|
||||
for var in allList[5]:
|
||||
translatedText = translatedText.replace('{FCode_' + str(count) + '}', var)
|
||||
count += 1
|
||||
|
||||
# Remove Color Variables Spaces
|
||||
# if '\\c' in translatedText:
|
||||
# translatedText = re.sub(r'\s*(\\+c\[[1-9]+\])\s*', r' \1', translatedText)
|
||||
# translatedText = re.sub(r'\s*(\\+c\[0+\])', r'\1', translatedText)
|
||||
return translatedText
|
||||
|
||||
@retry(exceptions=Exception, tries=5, delay=5)
|
||||
def translateGPT(t, history, fullPromptFlag):
|
||||
# If ESTIMATE is True just count this as an execution and return.
|
||||
if ESTIMATE:
|
||||
enc = tiktoken.encoding_for_model(MODEL)
|
||||
historyRaw = ''
|
||||
if isinstance(history, list):
|
||||
for line in history:
|
||||
historyRaw += line
|
||||
else:
|
||||
historyRaw = history
|
||||
def batchList(input_list, batch_size):
|
||||
if not isinstance(batch_size, int) or batch_size <= 0:
|
||||
raise ValueError("batch_size must be a positive integer")
|
||||
|
||||
return [input_list[i:i + batch_size] for i in range(0, len(input_list), batch_size)]
|
||||
|
||||
inputTotalTokens = len(enc.encode(historyRaw)) + len(enc.encode(PROMPT))
|
||||
outputTotalTokens = len(enc.encode(t)) * 2 # Estimating 2x the size of the original text
|
||||
totalTokens = [inputTotalTokens, outputTotalTokens]
|
||||
return (t, totalTokens)
|
||||
def createContext(fullPromptFlag, subbedT):
|
||||
characters = 'Game Characters:\n\
|
||||
林つかさ (Tsukasa Hayashi) - Female\n\
|
||||
山田美兎 (Miyato Yamada) - Female\n\
|
||||
鈴木赤音 (Akane Suzuki) - Female\n\
|
||||
佐藤莉伊南 (Riina Satou) - Female\n\
|
||||
佐々木万梨美 (Marimi Sasaki) - Female\n\
|
||||
渡辺登樹子 (Tokiko Watanabe) - Female\n\
|
||||
桃乃夢 (Yume Momono) - Female\n\
|
||||
吉浦美雪 (Miyuki Yoshiura) - Female\n\
|
||||
三ツ門まあな (Maana Mitsukado) - Female\n\
|
||||
モリー・ボイド (Molly Boyd) - Female\n\
|
||||
オルガ・ブヤチッチ (Olga Buyachich) - Female\n\
|
||||
アッチャラー ギッティ (Atchara Gitti) - Female\n\
|
||||
'
|
||||
|
||||
# Sub Vars
|
||||
varResponse = subVars(t)
|
||||
subbedT = varResponse[0]
|
||||
system = PROMPT if fullPromptFlag else \
|
||||
f'Output ONLY the {LANGUAGE} translation in the following format: `Translation: <{LANGUAGE.upper()}_TRANSLATION>`'
|
||||
user = f'{subbedT}'
|
||||
return characters, system, user
|
||||
|
||||
# If there isn't any Japanese in the text just skip
|
||||
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴ]+|[\uFF00-\uFFEF]', subbedT):
|
||||
return(t, [0,0])
|
||||
def translateText(characters, system, user, history):
|
||||
# Prompt
|
||||
msg = [{"role": "system", "content": system + characters}]
|
||||
|
||||
# Characters
|
||||
context = '```\
|
||||
Game Characters:\
|
||||
Character: ソル == Sol - Gender: Female\
|
||||
Character: ェニ先生 == Eni-sensei - Gender: Female\
|
||||
Character: 神泉 理央 == Kamiizumi Rio - Gender: Female\
|
||||
Character: 吉祥寺 アリサ == Kisshouji Arisa - Gender: Female\
|
||||
```'
|
||||
msg.append({"role": "system", "content": characters})
|
||||
|
||||
# Prompt
|
||||
if fullPromptFlag:
|
||||
system = PROMPT
|
||||
user = 'Line to Translate = ' + subbedT
|
||||
else:
|
||||
system = 'Output ONLY the '+ LANGUAGE +' translation in the following format: `Translation: <'+ LANGUAGE.upper() +'_TRANSLATION>`'
|
||||
user = 'Line to Translate = ' + subbedT
|
||||
|
||||
# Create Message List
|
||||
msg = []
|
||||
msg.append({"role": "system", "content": system})
|
||||
msg.append({"role": "user", "content": context})
|
||||
# History
|
||||
if isinstance(history, list):
|
||||
for line in history:
|
||||
msg.append({"role": "user", "content": line})
|
||||
msg.extend([{"role": "assistant", "content": h} for h in history])
|
||||
else:
|
||||
msg.append({"role": "user", "content": history})
|
||||
msg.append({"role": "user", "content": user})
|
||||
|
||||
response = openai.ChatCompletion.create(
|
||||
msg.append({"role": "assistant", "content": history})
|
||||
|
||||
# Content to TL
|
||||
msg.append({"role": "user", "content": f'{user}'})
|
||||
response = openai.chat.completions.create(
|
||||
temperature=0.1,
|
||||
frequency_penalty=0.2,
|
||||
presence_penalty=0.2,
|
||||
frequency_penalty=0.1,
|
||||
model=MODEL,
|
||||
messages=msg,
|
||||
request_timeout=TIMEOUT,
|
||||
)
|
||||
return response
|
||||
|
||||
# Save Translated Text
|
||||
translatedText = response.choices[0].message.content
|
||||
totalTokens = [response.usage.prompt_tokens, response.usage.completion_tokens]
|
||||
def cleanTranslatedText(translatedText, varResponse):
|
||||
placeholders = {
|
||||
f'{LANGUAGE} Translation: ': '',
|
||||
'Translation: ': '',
|
||||
'っ': '',
|
||||
'〜': '~',
|
||||
'ー': '-',
|
||||
'ッ': '',
|
||||
'。': '.',
|
||||
'Placeholder Text': ''
|
||||
# Add more replacements as needed
|
||||
}
|
||||
for target, replacement in placeholders.items():
|
||||
translatedText = translatedText.replace(target, replacement)
|
||||
|
||||
# Resub Vars
|
||||
translatedText = resubVars(translatedText, varResponse[1])
|
||||
|
||||
# Remove Placeholder Text
|
||||
translatedText = translatedText.replace(LANGUAGE +' Translation: ', '')
|
||||
translatedText = translatedText.replace('Translation: ', '')
|
||||
translatedText = translatedText.replace('Line to Translate = ', '')
|
||||
translatedText = translatedText.replace('Translation = ', '')
|
||||
translatedText = translatedText.replace('Translate = ', '')
|
||||
translatedText = translatedText.replace(LANGUAGE +' Translation:', '')
|
||||
translatedText = translatedText.replace('Translation:', '')
|
||||
translatedText = translatedText.replace('Line to Translate =', '')
|
||||
translatedText = translatedText.replace('Translation =', '')
|
||||
translatedText = translatedText.replace('Translate =', '')
|
||||
translatedText = re.sub(r'Note:.*', '', translatedText)
|
||||
translatedText = translatedText.replace('っ', '')
|
||||
|
||||
# Return Translation
|
||||
if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
|
||||
raise Exception
|
||||
if '\n' in translatedText:
|
||||
return [line for line in translatedText.split('\n') if line]
|
||||
else:
|
||||
return [translatedText, totalTokens]
|
||||
return [line for line in translatedText.split('\\n') if line]
|
||||
|
||||
def extractTranslation(translatedTextList, is_list):
|
||||
pattern = r'<Line(\d+)>[\\]*`?(.*?)[\\]*?`?</?Line\d+>'
|
||||
# If it's a batch (i.e., list), extract with tags; otherwise, return the single item.
|
||||
if is_list:
|
||||
return [re.findall(pattern, line)[0][1] for line in translatedTextList if re.search(pattern, line)]
|
||||
else:
|
||||
matchList = re.findall(pattern, translatedTextList)
|
||||
return matchList[0][1] if matchList else translatedTextList
|
||||
|
||||
def countTokens(characters, system, user, history):
|
||||
inputTotalTokens = 0
|
||||
outputTotalTokens = 0
|
||||
enc = tiktoken.encoding_for_model(MODEL)
|
||||
|
||||
# Input
|
||||
if isinstance(history, list):
|
||||
for line in history:
|
||||
inputTotalTokens += len(enc.encode(line))
|
||||
else:
|
||||
inputTotalTokens += len(enc.encode(history))
|
||||
inputTotalTokens += len(enc.encode(system))
|
||||
inputTotalTokens += len(enc.encode(characters))
|
||||
inputTotalTokens += len(enc.encode(user))
|
||||
|
||||
# Output
|
||||
outputTotalTokens += round(len(enc.encode(user))/1.5)
|
||||
|
||||
return [inputTotalTokens, outputTotalTokens]
|
||||
|
||||
def combineList(tlist, text):
|
||||
if isinstance(text, list):
|
||||
return [t for sublist in tlist for t in sublist]
|
||||
return tlist[0]
|
||||
|
||||
@retry(exceptions=Exception, tries=5, delay=5)
|
||||
def translateGPT(text, history, fullPromptFlag):
|
||||
totalTokens = [0, 0]
|
||||
if isinstance(text, list):
|
||||
tList = batchList(text, BATCHSIZE)
|
||||
else:
|
||||
tList = [text]
|
||||
|
||||
for index, tItem in enumerate(tList):
|
||||
# Before sending to translation, if we have a list of items, add the formatting
|
||||
if isinstance(tItem, list):
|
||||
payload = '\n'.join([f'<Line{i}>`{item}`</Line{i}>' for i, item in enumerate(tItem)])
|
||||
payload = payload.replace('``', '`Placeholder Text`')
|
||||
varResponse = subVars(payload)
|
||||
subbedT = varResponse[0]
|
||||
else:
|
||||
varResponse = subVars(tItem)
|
||||
subbedT = varResponse[0]
|
||||
|
||||
# Things to Check before starting translation
|
||||
if not re.search(r'[一-龠ぁ-ゔァ-ヴーａ-ｚＡ-Ｚ０-９]+', subbedT):
|
||||
continue
|
||||
|
||||
# Create Message
|
||||
characters, system, user = createContext(fullPromptFlag, subbedT)
|
||||
|
||||
# Calculate Estimate
|
||||
if ESTIMATE:
|
||||
estimate = countTokens(characters, system, user, history)
|
||||
totalTokens[0] += estimate[0]
|
||||
totalTokens[1] += estimate[1]
|
||||
continue
|
||||
|
||||
# Translating
|
||||
response = translateText(characters, system, user, history)
|
||||
translatedText = response.choices[0].message.content
|
||||
totalTokens[0] += response.usage.prompt_tokens
|
||||
totalTokens[1] += response.usage.completion_tokens
|
||||
|
||||
# Formatting
|
||||
translatedTextList = cleanTranslatedText(translatedText, varResponse)
|
||||
if isinstance(tItem, list):
|
||||
extractedTranslations = extractTranslation(translatedTextList, True)
|
||||
tList[index] = extractedTranslations
|
||||
if len(tItem) != len(translatedTextList):
|
||||
mismatch = True # Just here so breakpoint can be set
|
||||
history = extractedTranslations[-10:] # Update history if we have a list
|
||||
else:
|
||||
# Ensure we're passing a single string to extractTranslation
|
||||
extractedTranslations = extractTranslation('\n'.join(translatedTextList), False)
|
||||
tList[index] = extractedTranslations
|
||||
|
||||
finalList = combineList(tList, text)
|
||||
return [finalList, totalTokens]
|
||||
|
|
|
|||
431
modules/lune2.py
431
modules/lune2.py
|
|
@ -1,431 +0,0 @@
|
|||
from concurrent.futures import ThreadPoolExecutor, as_completed
|
||||
import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
import re
|
||||
import sys
|
||||
import textwrap
|
||||
import threading
|
||||
import time
|
||||
import traceback
|
||||
import tiktoken
|
||||
|
||||
from colorama import Fore
|
||||
from dotenv import load_dotenv
|
||||
import openai
|
||||
from retry import retry
|
||||
from tqdm import tqdm
|
||||
|
||||
#Globals
|
||||
load_dotenv()
|
||||
if os.getenv('api').replace(' ', '') != '':
|
||||
openai.api_base = os.getenv('api')
|
||||
|
||||
openai.organization = os.getenv('org')
|
||||
openai.api_key = os.getenv('key')
|
||||
MODEL = os.getenv('model')
|
||||
TIMEOUT = int(os.getenv('timeout'))
|
||||
LANGUAGE=os.getenv('language').capitalize()
|
||||
|
||||
APICOST = .002 # Depends on the model https://openai.com/pricing
|
||||
PROMPT = Path('prompt.txt').read_text(encoding='utf-8')
|
||||
THREADS = int(os.getenv('threads'))
|
||||
LOCK = threading.Lock()
|
||||
WIDTH = int(os.getenv('width'))
|
||||
LISTWIDTH = int(os.getenv('listWidth'))
|
||||
MAXHISTORY = 10
|
||||
ESTIMATE = ''
|
||||
TOTALCOST = 0
|
||||
TOKENS = 0
|
||||
TOTALTOKENS = 0
|
||||
|
||||
#tqdm Globals
|
||||
BAR_FORMAT='{l_bar}{bar:10}{r_bar}{bar:-10b}'
|
||||
POSITION=0
|
||||
LEAVE=False
|
||||
|
||||
# Flags
|
||||
CODE401 = True
|
||||
CODE102 = True
|
||||
CODE122 = False
|
||||
CODE101 = False
|
||||
CODE355655 = False
|
||||
CODE357 = False
|
||||
CODE356 = False
|
||||
CODE320 = False
|
||||
CODE111 = False
|
||||
|
||||
def handleLuneTxt(filename, estimate):
|
||||
global ESTIMATE, TOKENS, TOTALTOKENS, TOTALCOST
|
||||
ESTIMATE = estimate
|
||||
|
||||
if estimate:
|
||||
start = time.time()
|
||||
translatedData = openFiles(filename)
|
||||
|
||||
# Print Result
|
||||
end = time.time()
|
||||
tqdm.write(getResultString(translatedData, end - start, filename))
|
||||
with LOCK:
|
||||
TOTALCOST += translatedData[1] * .001 * APICOST
|
||||
TOTALTOKENS += translatedData[1]
|
||||
|
||||
else:
|
||||
with open('translated/' + filename, 'w', encoding='shiftjis', newline='\n') as outFile:
|
||||
start = time.time()
|
||||
translatedData = openFiles(filename)
|
||||
|
||||
# Print Result
|
||||
end = time.time()
|
||||
outFile.writelines(translatedData[0])
|
||||
tqdm.write(getResultString(translatedData, end - start, filename))
|
||||
with LOCK:
|
||||
TOTALCOST += translatedData[1] * .001 * APICOST
|
||||
TOTALTOKENS += translatedData[1]
|
||||
|
||||
return getResultString(['', TOTALTOKENS, None], end - start, 'TOTAL')
|
||||
|
||||
def openFiles(filename):
|
||||
with open('files/' + filename, 'r', encoding='shiftjis') as f:
|
||||
translatedData = parseText(f, filename)
|
||||
|
||||
return translatedData
|
||||
|
||||
def getResultString(translatedData, translationTime, filename):
|
||||
# File Print String
|
||||
tokenString = Fore.YELLOW + '[' + str(translatedData[1]) + \
|
||||
' Tokens/${:,.4f}'.format(translatedData[1] * .001 * APICOST) + ']'
|
||||
timeString = Fore.BLUE + '[' + str(round(translationTime, 1)) + 's]'
|
||||
|
||||
if translatedData[2] == None:
|
||||
# Success
|
||||
return filename + ': ' + tokenString + timeString + Fore.GREEN + u' \u2713 ' + Fore.RESET
|
||||
|
||||
else:
|
||||
# Fail
|
||||
try:
|
||||
raise translatedData[2]
|
||||
except Exception as e:
|
||||
errorString = str(e) + Fore.RED
|
||||
return filename + ': ' + tokenString + timeString + Fore.RED + u' \u2717 ' +\
|
||||
errorString + Fore.RESET
|
||||
|
||||
def parseText(data, filename):
|
||||
totalTokens = 0
|
||||
totalLines = 0
|
||||
global LOCK
|
||||
|
||||
# Get total for progress bar
|
||||
linesList = data.readlines()
|
||||
totalLines = len(linesList)
|
||||
|
||||
with tqdm(bar_format=BAR_FORMAT, position=POSITION, total=totalLines, leave=LEAVE) as pbar:
|
||||
pbar.desc=filename
|
||||
pbar.total=totalLines
|
||||
try:
|
||||
response = translateText(linesList, pbar)
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
return [linesList, 0, e]
|
||||
return [response[0], response[1], None]
|
||||
|
||||
def translateText(data, pbar):
|
||||
textHistory = []
|
||||
maxHistory = MAXHISTORY
|
||||
tokens = 0
|
||||
speaker = ''
|
||||
speakerFlag = False
|
||||
syncIndex = 0
|
||||
|
||||
### Translation
|
||||
for i in range(len(data)):
|
||||
if syncIndex > i:
|
||||
i = syncIndex
|
||||
|
||||
# Finish if at end
|
||||
if i+1 > len(data):
|
||||
return [data, tokens]
|
||||
|
||||
# Remove newlines
|
||||
jaString = data[i]
|
||||
jaString = jaString.replace('\\n', '')
|
||||
jaString = jaString.replace('\n', '')
|
||||
|
||||
|
||||
# Choices
|
||||
if '0100410000000' in jaString:
|
||||
decodedBITCH = bytes.fromhex(jaString).decode('shiftjis')
|
||||
|
||||
matchList = re.findall(r'd(.+?),', decodedBITCH)
|
||||
if len(matchList) > 0:
|
||||
for match in matchList:
|
||||
response = translateGPT(match, 'Keep your translation as brief as possible. Previous text: ' + textHistory[len(textHistory)-1] + '\n\nReply in the style of a dialogue option.', True)
|
||||
tokens += response[1]
|
||||
translatedText = response[0]
|
||||
|
||||
# Remove characters that may break scripts
|
||||
charList = ['.', '\"', '\\n']
|
||||
for char in charList:
|
||||
translatedText = translatedText.replace(char, '')
|
||||
|
||||
decodedBITCH = decodedBITCH.replace(match, translatedText.replace(' ', '\u3000'))
|
||||
data[i] = decodedBITCH.encode('shift-jis').hex() + '\n'
|
||||
continue
|
||||
|
||||
# Reset Speaker
|
||||
if '00000000' == jaString:
|
||||
i += 1
|
||||
pbar.update(1)
|
||||
speaker = ''
|
||||
jaString = data[i]
|
||||
|
||||
# Grab and Translate Speaker
|
||||
elif re.search(r'^0000[1-9]000$', jaString):
|
||||
i += 1
|
||||
pbar.update(1)
|
||||
jaString = data[i].replace('\n', '')
|
||||
jaString = jaString.replace('拓海', 'Takumi')
|
||||
jaString = jaString.replace('こはる', 'Koharu')
|
||||
jaString = jaString.replace('理央', 'Rio')
|
||||
jaString = jaString.replace('アリサ', 'Arisa')
|
||||
jaString = jaString.replace('友里子', 'Yuriko')
|
||||
|
||||
# Translate Speaker
|
||||
response = translateGPT(jaString, 'Reply with only the '+ LANGUAGE +' translation of the NPC name', True)
|
||||
tokens += response[1]
|
||||
speaker = response[0].strip('.')
|
||||
data[i] = speaker + '\n'
|
||||
|
||||
# Set index to line
|
||||
i += 1
|
||||
|
||||
else:
|
||||
pbar.update(1)
|
||||
continue
|
||||
|
||||
# Translate
|
||||
finalJAString = data[i]
|
||||
|
||||
# Remove Textwrap
|
||||
finalJAString = finalJAString.replace('\\n', ' ')
|
||||
finalJAString = finalJAString.replace('\n', ' ')
|
||||
|
||||
if speaker == '':
|
||||
speaker = 'Takumi'
|
||||
response = translateGPT(speaker + ': ' + finalJAString, textHistory, True)
|
||||
tokens += response[1]
|
||||
translatedText = response[0]
|
||||
|
||||
# Remove Textwrap
|
||||
translatedText = translatedText.replace('\\n', ' ')
|
||||
translatedText = translatedText.replace('\n', ' ')
|
||||
|
||||
# Remove added speaker and quotes
|
||||
translatedText = re.sub(r'^.+?:\s', '', translatedText)
|
||||
|
||||
# TextHistory is what we use to give GPT Context, so thats appended here.
|
||||
if speaker != '':
|
||||
textHistory.append(speaker + ': ' + translatedText)
|
||||
elif speakerFlag == False:
|
||||
textHistory.append('\"' + translatedText + '\"')
|
||||
|
||||
# Keep textHistory list at length maxHistory
|
||||
if len(textHistory) > maxHistory:
|
||||
textHistory.pop(0)
|
||||
currentGroup = []
|
||||
|
||||
# Textwrap
|
||||
translatedText = textwrap.fill(translatedText, width=WIDTH)
|
||||
translatedText = translatedText.replace(',\n', ', \n')
|
||||
translatedText = translatedText.replace('\n', '\\n')
|
||||
translatedText = translatedText.replace(',\\n', ', \\n')
|
||||
|
||||
# Set Data
|
||||
data[i] = translatedText + '\n'
|
||||
syncIndex = i + 1
|
||||
pbar.update(1)
|
||||
return [data, tokens]
|
||||
|
||||
def subVars(jaString):
|
||||
jaString = jaString.replace('\u3000', ' ')
|
||||
|
||||
# Icons
|
||||
count = 0
|
||||
iconList = re.findall(r'[\\]+[iIkKwW]+\[[0-9]+\]', jaString)
|
||||
iconList = set(iconList)
|
||||
if len(iconList) != 0:
|
||||
for icon in iconList:
|
||||
jaString = jaString.replace(icon, '[Ascii_' + str(count) + ']')
|
||||
count += 1
|
||||
|
||||
# Colors
|
||||
count = 0
|
||||
colorList = re.findall(r'[\\]+[cC]\[[0-9]+\]', jaString)
|
||||
colorList = set(colorList)
|
||||
if len(colorList) != 0:
|
||||
for color in colorList:
|
||||
jaString = jaString.replace(color, '[Color_' + str(count) + ']')
|
||||
count += 1
|
||||
|
||||
# Names
|
||||
count = 0
|
||||
nameList = re.findall(r'[\\]+[nN]\[.+?\]+', jaString)
|
||||
nameList = set(nameList)
|
||||
if len(nameList) != 0:
|
||||
for name in nameList:
|
||||
jaString = jaString.replace(name, '[N_' + str(count) + ']')
|
||||
count += 1
|
||||
|
||||
# Variables
|
||||
count = 0
|
||||
varList = re.findall(r'[\\]+[vV]\[[0-9]+\]', jaString)
|
||||
varList = set(varList)
|
||||
if len(varList) != 0:
|
||||
for var in varList:
|
||||
jaString = jaString.replace(var, '[Var_' + str(count) + ']')
|
||||
count += 1
|
||||
|
||||
# Formatting
|
||||
count = 0
|
||||
if '笑えるよね.' in jaString:
|
||||
print('t')
|
||||
formatList = re.findall(r'[\\]+CL', jaString)
|
||||
formatList = set(formatList)
|
||||
if len(formatList) != 0:
|
||||
for var in formatList:
|
||||
jaString = jaString.replace(var, '[FCode_' + str(count) + ']')
|
||||
count += 1
|
||||
|
||||
# Put all lists in list and return
|
||||
allList = [iconList, colorList, nameList, varList, formatList]
|
||||
return [jaString, allList]
|
||||
|
||||
def resubVars(translatedText, allList):
|
||||
# Fix Spacing and ChatGPT Nonsense
|
||||
matchList = re.findall(r'\[\s?.+?\s?\]', translatedText)
|
||||
if len(matchList) > 0:
|
||||
for match in matchList:
|
||||
text = match.strip()
|
||||
translatedText = translatedText.replace(match, text)
|
||||
|
||||
# Icons
|
||||
count = 0
|
||||
if len(allList[0]) != 0:
|
||||
for var in allList[0]:
|
||||
translatedText = translatedText.replace('[Ascii_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Colors
|
||||
count = 0
|
||||
if len(allList[1]) != 0:
|
||||
for var in allList[1]:
|
||||
translatedText = translatedText.replace('[Color_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Names
|
||||
count = 0
|
||||
if len(allList[2]) != 0:
|
||||
for var in allList[2]:
|
||||
translatedText = translatedText.replace('[N_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Vars
|
||||
count = 0
|
||||
if len(allList[3]) != 0:
|
||||
for var in allList[3]:
|
||||
translatedText = translatedText.replace('[Var_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Formatting
|
||||
count = 0
|
||||
if len(allList[4]) != 0:
|
||||
for var in allList[4]:
|
||||
translatedText = translatedText.replace('[FCode_' + str(count) + ']', var)
|
||||
count += 1
|
||||
|
||||
# Remove Color Variables Spaces
|
||||
# if '\\c' in translatedText:
|
||||
# translatedText = re.sub(r'\s*(\\+c\[[1-9]+\])\s*', r' \1', translatedText)
|
||||
# translatedText = re.sub(r'\s*(\\+c\[0+\])', r'\1', translatedText)
|
||||
return translatedText
|
||||
|
||||
@retry(exceptions=Exception, tries=5, delay=5)
|
||||
def translateGPT(t, history, fullPromptFlag):
|
||||
# If ESTIMATE is True just count this as an execution and return.
|
||||
if ESTIMATE:
|
||||
enc = tiktoken.encoding_for_model(MODEL)
|
||||
tokens = len(enc.encode(t)) * 2 + len(enc.encode(str(history))) + len(enc.encode(PROMPT))
|
||||
return (t, tokens)
|
||||
|
||||
# Sub Vars
|
||||
varResponse = subVars(t)
|
||||
subbedT = varResponse[0]
|
||||
|
||||
# If there isn't any Japanese in the text just skip
|
||||
if not re.search(r'[一-龠]+|[ぁ-ゔ]+|[ァ-ヴ]+|[\uFF00-\uFFEF]', subbedT):
|
||||
return(t, 0)
|
||||
|
||||
# Characters
|
||||
context = '```\
|
||||
Game Characters:\
|
||||
Character: 池ノ上 拓海 == Ikenoue Takumi - Gender: Male\
|
||||
Character: 福永 こはる == Fukunaga Koharu - Gender: Female\
|
||||
Character: 神泉 理央 == Kamiizumi Rio - Gender: Female\
|
||||
Character: 吉祥寺 アリサ == Kisshouji Arisa - Gender: Female\
|
||||
Character: 久我 友里子 == Kuga Yuriko - Gender: Female\
|
||||
```'
|
||||
|
||||
# Prompt
|
||||
if fullPromptFlag:
|
||||
system = PROMPT
|
||||
user = 'Line to Translate = ' + subbedT
|
||||
else:
|
||||
system = 'Output ONLY the '+ LANGUAGE +' translation in the following format: `Translation: <'+ LANGUAGE.upper() +'_TRANSLATION>`'
|
||||
user = 'Line to Translate = ' + subbedT
|
||||
|
||||
# Create Message List
|
||||
msg = []
|
||||
msg.append({"role": "system", "content": system})
|
||||
msg.append({"role": "user", "content": context})
|
||||
if isinstance(history, list):
|
||||
for line in history:
|
||||
msg.append({"role": "user", "content": line})
|
||||
else:
|
||||
msg.append({"role": "user", "content": history})
|
||||
msg.append({"role": "user", "content": user})
|
||||
|
||||
response = openai.ChatCompletion.create(
|
||||
temperature=0.1,
|
||||
frequency_penalty=0.2,
|
||||
presence_penalty=0.2,
|
||||
model=MODEL,
|
||||
messages=msg,
|
||||
request_timeout=TIMEOUT,
|
||||
)
|
||||
|
||||
# Save Translated Text
|
||||
translatedText = response.choices[0].message.content
|
||||
tokens = response.usage.total_tokens
|
||||
|
||||
# Resub Vars
|
||||
translatedText = resubVars(translatedText, varResponse[1])
|
||||
|
||||
# Remove Placeholder Text
|
||||
translatedText = translatedText.replace(LANGUAGE +' Translation: ', '')
|
||||
translatedText = translatedText.replace('Translation: ', '')
|
||||
translatedText = translatedText.replace('Line to Translate = ', '')
|
||||
translatedText = translatedText.replace('Translation = ', '')
|
||||
translatedText = translatedText.replace('Translate = ', '')
|
||||
translatedText = translatedText.replace(LANGUAGE +' Translation:', '')
|
||||
translatedText = translatedText.replace('Translation:', '')
|
||||
translatedText = translatedText.replace('Line to Translate =', '')
|
||||
translatedText = translatedText.replace('Translation =', '')
|
||||
translatedText = translatedText.replace('Translate =', '')
|
||||
translatedText = re.sub(r'Note:.*', '', translatedText)
|
||||
translatedText = translatedText.replace('っ', '')
|
||||
|
||||
# Return Translation
|
||||
if len(translatedText) > 15 * len(t) or "I'm sorry, but I'm unable to assist with that translation" in translatedText:
|
||||
raise Exception
|
||||
else:
|
||||
return [translatedText, tokens]
|
||||
|
|
@ -21,7 +21,7 @@ from modules.alice import handleAlice
|
|||
from modules.tyrano import handleTyrano
|
||||
from modules.json import handleJSON
|
||||
from modules.kansen import handleKansen
|
||||
from modules.lune2 import handleLuneTxt
|
||||
from modules.lune import handleLune
|
||||
from modules.atelier import handleAtelier
|
||||
from modules.anim import handleAnim
|
||||
|
||||
|
|
@ -38,7 +38,7 @@ MODULES = [
|
|||
["Tyrano", "ks", handleTyrano],
|
||||
["JSON", "json", handleJSON],
|
||||
["Kansen", "ks", handleKansen],
|
||||
["Lune", "txt", handleLuneTxt],
|
||||
["Lune", "json", handleLune],
|
||||
["Atelier", "txt", handleAtelier],
|
||||
["Anim", "json", handleAnim],
|
||||
]
|
||||
|
|
|
|||
Loading…
Reference in a new issue