feat: Batch working

This commit is contained in:
Dazed 2023-04-02 22:14:13 -05:00
parent ed5a39df92
commit 4250230f6a

122
main.py
View file

@ -1,4 +1,5 @@
import os
import re
from googletrans import Translator
from pathlib import Path
import json
@ -10,35 +11,94 @@ load_dotenv()
openai.organization = os.getenv('org')
openai.api_key = os.getenv('key')
# Load JSON file into a Python dictionary
with open('Map013.json', 'r', encoding='utf-8') as f:
data = json.load(f)
def main():
# Load JSON file into a Python dictionary
with open('Map013.json', 'r', encoding='utf-8') as f:
data = json.load(f)
parse401(data)
# Extract 401 events text
events = data['events']
text = []
for event in events:
if event is not None:
for page in event['pages']:
for command in page['list']:
if command['code'] == 401:
text.append(command['parameters'][0])
def parse401(data):
"""
Extracts the first parameter of all commands with code 401 from a dictionary of events.
# Split into batches
pipe = '/p'
script = pipe.join(text)
Args:
data (list): A list of events.
# Translate text using GPT
def translate(t):
Returns:
list: A list of strings containing the first parameter of all commands with code 401.
"""
# Extract 401 Text
events = data['events']
untranslatedTextList = []
for event in events:
if event is not None:
for page in event['pages']:
for command in page['list']:
if command['code'] == 401:
untranslatedTextList.append(command['parameters'][0])
batchList = splitIntoBatches(untranslatedTextList, 3500)
# Translate Batches
translatedBatchList = []
for batch in batchList:
translatedBatchList.append(translateGPT(batch))
translatedText = ''.join(translatedBatchList)
translatedTextList = translatedText.split('/p')
translatedTextList = matchListSize(untranslatedTextList, translatedTextList)
# Write to new json file
i = 0
for event in events:
if event is not None:
for page in event['pages']:
for command in page['list']:
if command['code'] == 401:
command['parameters'][0] = translatedTextList[i]
i += 1
with open('file.json', 'w') as f:
json.dump(data, f)
def splitIntoBatches(textList, n):
"""This function takes a piece of text and sorts it into batches based on set token length."""
# Initialize the batch list
batches = []
# Initialize the current batch
current_batch = []
# Loop through each word in the text
for line in textList:
# If adding the current word to the current batch would exceed the max length,
# add the current batch to the list of batches and start a new batch
if len(' '.join(current_batch + [line])) > n:
batches.append(current_batch)
current_batch = [line]
# Otherwise, add the current word to the current batch
else:
current_batch.append(line)
# Add any remaining words to the final batch
if len(current_batch) > 0:
batches.append(current_batch)
return batches
def translateGPT(t):
"""Translate text using GPT"""
system = "You are a professional Japanese visual novel translator. \
You always manages to translate all of the little nuances of the original \
Japanese text to your output, while still making it a prose masterpiece, \
and localizing it in a way that an average American would understand. \
You always include the '/p' from the original text in your translation." \
You always include the '/p' from the original text in your translation."
# Convert to text
pipe = '/p'
t = pipe.join(t)
response = openai.ChatCompletion.create(
temperature=0.2,
max_tokens=500,
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": system},
@ -47,20 +107,12 @@ def translate(t):
)
return response.choices[0].message.content
# Make translated list the same size
translatedText += [""] * (len(text) - len(translatedText))
for i in range(len(translatedText)):
translatedText[i] = translatedText[i].strip()
# Place translated text back in its original location in the JSON file
i = 0
for event in events:
if event is not None:
for page in event['pages']:
for command in page['list']:
if command['code'] == 401:
command['parameters'][0] = translatedText[i]
i += 1
def matchListSize(list1, list2):
"""Make list2 the same size as list1"""
list2 += [""] * (len(list1) - len(list2))
for i in range(len(list2)):
list2[i] = list2[i].strip()
with open('file.json', 'w') as f:
json.dump(data, f)
return list2
main()