840 lines
32 KiB
Python
Executable File
840 lines
32 KiB
Python
Executable File
from translation_resources import ibm_watson, google, aws, azure, lingvanex, yandex
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from transliteration_resources import azure_transliteration, indic_trans, om_transliterator, libindic, indic_transliteration_IAST, indic_transliteration_ITRANS, sheetal
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from script_reading import breaksen, getRefined, getSlugAndNonSlug, getSpeakers, getScenes
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from script_writing import addSlugLine, addActionLine, addSpeaker, addParenthetical, addDialogue, dual_script, addTransition, dial_checker, non_dial_checker
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from selection_source import selection_source, function5, function41, function311, function221, function2111, function11111, selection_source_transliteration, two_sources_two_outputs
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from translation_metric import manual_diff_score, bleu_diff_score, gleu_diff_score, meteor_diff_score, rouge_diff_score, diff_score, critera4_5
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from buck_2_unicode import buck_2_unicode
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from script_detector import script_cat
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from google.cloud import translate_v2 as Translate
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from google.cloud import translate
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from pymongo import MongoClient
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from docx2pdf import convert
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import subprocess
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import os
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import sys
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import docx
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import re
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# import textract
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from tqdm import tqdm
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from collections import Counter
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import ntpath
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from docx.shared import Inches, Cm, Pt
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from docx.enum.text import WD_ALIGN_PARAGRAPH
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from docx.enum.table import WD_TABLE_ALIGNMENT, WD_ALIGN_VERTICAL
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import requests
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import uuid
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import json
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import nltk.translate.bleu_score as bleu
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import nltk.translate.gleu_score as gleu
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from rouge_score import rouge_scorer
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import numpy as np
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import statistics
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from statistics import mode
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from indicnlp.tokenize import sentence_tokenize
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import nltk
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from conversion.translation.detection import getInputs
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from final_transliteration_translation import makeTransliteration_translation
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from final_transliteration_only import makeTransliteration_only
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import datetime
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from pytz import timezone
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#######
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import numpy as np
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import statistics
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from statistics import mode
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from indicnlp.tokenize import sentence_tokenize
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import nltk
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try:
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print("time6666")
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nltk.data.find('tokenizers/punkt')
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except LookupError:
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#nltk.download('punkt')
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pass
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try: nltk.data.find('wordnet')
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except LookupError: ###nltk.download('wordnet')
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print("error in finding wordnet444444444")
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from nltk.tokenize import sent_tokenize
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# try: nltk.data.find('tokenizers/punkt')
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# except LookupError: nltk.download('punkt')
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# try: nltk.data.find('wordnet')
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# except LookupError: ###nltk.download('wordnet')
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# print("error in finding wordnet")
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from MNF.settings import BasePath
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basePath = BasePath()
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# import logging
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# log = logging.getLogger(__name__)
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# log.info('Logger working')
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# from logger import get_module_logger
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# log = get_module_logger(__name__)
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# log.info('Logger working')
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from google.cloud import translate
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from google.cloud import translate_v2 as Translate
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from .script_detector import script_cat
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from .buck_2_unicode import buck_2_unicode
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from .translation_metric import manual_diff_score, bleu_diff_score, gleu_diff_score, meteor_diff_score, rouge_diff_score, diff_score, critera4_5
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from .selection_source import selection_source, function5, function41, function311, function221, function2111, function11111, selection_source_transliteration, two_sources_two_outputs
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from .script_writing import addSlugLine, addActionLine, addSpeaker, addParenthetical, addDialogue, dual_script, addTransition, dial_checker, non_dial_checker
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from .script_reading import breaksen, getRefined, getSlugAndNonSlug, getSpeakers, getScenes
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from .translation_resources import ibm_watson, google, aws, azure, lingvanex, yandex
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from .transliteration_resources import azure_transliteration, indic_trans, om_transliterator, libindic, indic_transliteration_IAST, indic_transliteration_ITRANS, sheetal
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from .script_writing import default_script
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from nltk.tokenize import regexp_tokenize
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from .all_transliteration import all_transliteration
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def convert_to_pdf(input_docx, out_folder):
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p = subprocess.Popen(['libreoffice', '--headless', '--convert-to', 'pdf', '--outdir',
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out_folder, input_docx])
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print(['--convert-to', 'pdf', input_docx])
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p.communicate()
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def translate_function(script_path, script_id, dial_conv_script,dial_src_lang, non_dial_src_lang,dial_src_script,restrict_to_five,option3, option4, option5, option6):
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MongoDBUrl = "mongodb+srv://MNF:root@cluster0.gbkxi.gcp.mongodb.net/DB?retryWrites=true&w=majority"
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global client, script_title, db
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client = MongoClient(MongoDBUrl)
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db = client.DB
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#global client,script_title,db
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# script_id = "scr_1612524497" # for testing and then we will pass it through cli
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script_id = script_id
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user_script_data = db["mnfapp_mnfscriptdatabase"].find_one(
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{"script_id": script_id})
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# google
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os.environ["GOOGLE_APPLICATION_CREDENTIALS"]=rf"{basePath}/conversion/translation/My First Project-2573112d5326.json"
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translate_client = Translate.Client()
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client = translate.TranslationServiceClient()
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project_id = 'authentic-bongo-272808'
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location = "global"
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parent = f"projects/{project_id}/locations/{location}"
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doc = docx.Document()
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filename1 = script_path
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total_dial_src_lang = dial_src_lang
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non_dial_src_lang = non_dial_src_lang
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dial_src_script = dial_src_script
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dial_dest_lang = user_script_data.get("dial_dest_language")
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dial_dest_script = user_script_data.get("dial_dest_script")
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non_dial_dest_lang = user_script_data.get("nondial_dest_language")
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dial_conv_script = dial_conv_script
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#print(dial_conv_script)
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#print(dial_dest_script)
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if dial_conv_script != dial_dest_script:
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dual_dial_script = 'No'
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else:
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dual_dial_script = user_script_data.get("dual_dial_script") # Yes,No
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x = datetime.datetime.now(timezone('UTC')).astimezone(timezone('Asia/Kolkata'))
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doc_file = basePath+"/media/scripts/translated/" + "trans_"+str(dial_dest_lang)+"_"+str(x.strftime("%d"))+ "_"+ str(x.strftime("%b"))+ "_"+ str(x.strftime("%H"))+ str(x.strftime("%I")) + "_" + "trans" + '_of_' + ntpath.basename(filename1)
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#print(doc_file)
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##Yes=Destination
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##N0=Same
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ui_option3_choice=option3
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ui_option4_choice=option4
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ui_option5_choice=option5
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ui_option6_choice=option6
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print(" ui_option3_choice", ui_option3_choice)
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print(" ui_option4_choice", ui_option4_choice)
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print(" ui_option5_choice", ui_option5_choice)
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print(" ui_option6_choice", ui_option6_choice)
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if (non_dial_src_lang!=non_dial_dest_lang) or (total_dial_src_lang!=dial_dest_lang):
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print(non_dial_dest_lang)
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print(non_dial_src_lang)
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print(total_dial_src_lang)
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print(dial_dest_lang)
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if non_dial_src_lang != non_dial_dest_lang:
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global_non_dialogue_flag = "Yes"
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else:
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global_non_dialogue_flag = "No"
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if total_dial_src_lang != dial_dest_lang:
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global_dialogue_flag = "Yes"
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else:
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global_dialogue_flag = "No"
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translation_list = ['en', 'ta', 'hi', 'ar', 'ur', 'kn', 'gu', 'bg', 'bn', 'te', 'ml', 'ru', 'sr', 'uk', 'hr', 'ga', 'sq', 'mr',
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'fa', 'tr', 'hu', 'it', 'ro','pa','gu','or','zh-CN','zh-TW','ne','fr','es','id','el','ja','ko','be','uz','sd','af','de','is',
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'ig','la','pt','my','th','su','lo','am','si','az','kk','mk','bs','ps','mg','ms','yo','cs','da','nl','tl','no','sl','sv',
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'vi','cy','he','hy','km','ka','mn','ku','ky','tk','he','hy','km','ka','mn','ku','ky','tk','fi','ht','haw','lt','lb','mt',
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'pl','eo','tt','ug','ha','so','sw','yi','eu','ca','ceb','co','et','fy','gl','hmn','rw','lv','mi','sm','gd','st','sn','sk',
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'xh','zu']
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# doc2 = docx.Document()
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# sections = doc2.sections
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# for section in sections:
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# section.top_margin = Inches(0.2)
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# section.bottom_margin = Inches(0.2)
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# section.left_margin = Inches(0.2)
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# section.right_margin = Inches(0.2)
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# section = doc2.sections[-1]
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# new_height = section.page_width
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# section.page_width = section.page_height
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# section.page_height = new_height
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# name = 'Final table '+doc_file
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# doc2.add_heading(name, 0)
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# doc_para = doc2.add_paragraph()
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# doc_para.add_run('Translation resources used : Google, IBM watson, AWS, Azure, Lingvanex, Yandex').bold = True
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# table2 = doc2.add_table(rows=1,cols=4)
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# table2.style = 'TableGrid'
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# hdr_Cells = table2.rows[0].cells
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# hdr_Cells[0].paragraphs[0].add_run("Input").bold=True
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# hdr_Cells[1].paragraphs[0].add_run("Output1").bold=True
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# hdr_Cells[2].paragraphs[0].add_run("Output2").bold=True
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# hdr_Cells[3].paragraphs[0].add_run("Output3").bold=True
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#process the input script and return scenes
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refined,total_scenes = getRefined(filename1)
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print(refined)
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#log.debug(refined)
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sluglines,without_slug = getSlugAndNonSlug(refined)
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print(sluglines)
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#log.debug(sluglines)
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characters = getSpeakers(without_slug)
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#print(characters)
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#log.debug(characters)
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scenes,actionline,parenthetical_lis,speakers,dialogues = getScenes(refined,total_scenes,characters)
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#print(scenes)
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#to detect the language
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def language_detector(text):
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result = translate_client.translate(text, target_language='hi')
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det_lang = result["detectedSourceLanguage"]
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return det_lang
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class myDict(dict):
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def __init__(self):
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self = dict()
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def add(self, key, value):
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self[key] = value
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def all_translator(sentence, source_lang, target_lang):
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i = 0
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trans = myDict()
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sources_name = myDict()
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try:
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globals()['t%s' % i] = google(sentence, source_lang, target_lang)
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trans.add(str(i), globals()['t%s' % i])
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sources_name.add(str(i), "GOOGLE")
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i = i+1
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except:
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pass
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try:
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globals()['t%s' % i] = ibm_watson(sentence, source_lang, target_lang)
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trans.add(str(i), globals()['t%s' % i])
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sources_name.add(str(i), "IBM_WATSON")
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i = i+1
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except:
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pass
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try:
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globals()['t%s' % i] = aws(sentence, source_lang, target_lang)
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trans.add(str(i), globals()['t%s' % i])
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sources_name.add(str(i), "AWS")
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i = i+1
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except:
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pass
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try:
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globals()['t%s' % i]= azure(sentence, target_lang)
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trans.add(str(i), globals()['t%s' % i])
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sources_name.add(str(i), "AZURE")
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i = i+1
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except:
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pass
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try:
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globals()['t%s' % i] = lingvanex(sentence, source_lang, target_lang)
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trans.add(str(i), globals()['t%s' % i])
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sources_name.add(str(i), "LINGVANEX")
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i = i+1
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except:
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pass
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try:
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globals()['t%s' % i] = yandex(sentence, source_lang, target_lang)
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trans.add(str(i), globals()['t%s' % i])
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sources_name.add(str(i), "YANDEX")
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i = i+1
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except:
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pass
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if len(sources_name)==1:
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trans_text = trans["0"]
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else:
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trans_text = compare_outputs(sentence, trans["0"], trans, sources_name, target_lang)
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return trans_text
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def recursive_dots(Sentence, source_lang, target_lang):
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special_characters = ['....', '…', '. . .', '...']
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translated_text = []
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for i in special_characters:
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if i not in Sentence:
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continue
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Sentences = Sentence.split(i)
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for Sentence in Sentences:
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if Sentence=="" or Sentence==" ":
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continue
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if any(ext in Sentence for ext in special_characters):
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trans_text = translation_with_spcecial_dots(Sentence, source_lang, target_lang)
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else:
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if Sentence!= Sentences[-1]:
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trans_text = all_translator(Sentence, source_lang, target_lang) + i
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else:
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trans_text = all_translator(Sentence, source_lang, target_lang)
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translated_text.append(trans_text)
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return " ".join(translated_text)
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def translation_with_spcecial_dots(Sentence, source_lang, target_lang):
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special_characters = ['....', '…', '. . .', '...']
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translated_text = []
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for ext in special_characters:
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if ext in Sentence:
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splitter = ext
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break
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Sentences = Sentence.split(splitter)
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for Sentence in Sentences:
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if Sentence=="" or Sentence==" ":
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continue
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if any(ext in Sentence for ext in special_characters):
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trans_text = recursive_dots(Sentence, source_lang, target_lang)
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else:
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if Sentence!= Sentences[-1]:
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trans_text = all_translator(Sentence, source_lang, target_lang) + splitter
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else:
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trans_text = all_translator(Sentence, source_lang, target_lang)
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translated_text.append(trans_text)
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return " ".join(translated_text)
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def translate_comparison(text, source_lang, target_lang):
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sentences=sent_tokenize(text)
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special_characters = ['....', '…', '. . .', '...']
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translated_text = []
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for sentence in sentences:
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if any(ext in sentence for ext in special_characters):
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trans_text = translation_with_spcecial_dots(sentence, source_lang, target_lang)
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translated_text.append(trans_text)
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else:
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trans_text = all_translator(sentence, source_lang, target_lang)
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translated_text.append(trans_text)
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return " ".join(translated_text)
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def script_det(text):
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punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~“"”'''
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no_punct = ""
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for char in text:
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if char not in punctuations:
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no_punct = char
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break
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#print("alphabet", no_punct)
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script = script_cat(no_punct)[0]
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#print("script", script)
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return script
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def word_transliterate(sentence, dest_script):
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return sentence
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def final_out(output1, output2, output3, dest_lang):
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#for word in output1.split():
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for word in regexp_tokenize(output1, "[\w']+"):
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if script_det(word) != default_script[dest_lang]:
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for word in regexp_tokenize(output2, "[\w']+"):
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if script_det(word) != default_script[dest_lang]:
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for word in regexp_tokenize(output3, "[\w']+"):
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if script_det(word) != default_script[dest_lang]:
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#print("in3")
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output1 = word_transliterate(output1, default_script[dest_lang])
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return output1
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return output3
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return output2
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return output1
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#take a sentence and give translated sentence by comparing outputs from different resources
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def compare_outputs(sentence, t0, trans, sources_name, target_lang):
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k=[]
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s=[]
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methods_name = {'0':'MNF', '1':'Gleu', '2':'Meteor', '3':'Rougen', '4':'Rougel'}
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google_output = t0
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#print("google", google_output)
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output1, source1 = manual_diff_score(trans, sources_name)
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#print("MNF", output1)
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output2, source2 = gleu_diff_score(trans, sources_name)
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#print("gleu", output2)
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output3, source3 = meteor_diff_score(trans, sources_name)
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#print("meteor", output3)
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output4, source4, output5, source5 = rouge_diff_score(trans, sources_name)
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#print("rougen", output4)
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#print("rougel", output5)
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if google_output == output1 == output2==output3==output4==output5:
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#print("all output is same as google")
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return google_output
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else:
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if google_output != output1:
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k.append(output1)
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s.append(source1)
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else:
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k.append(" ")
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s.append(" ")
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if google_output != output2:
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k.append(output2)
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s.append(source2)
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else:
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k.append(" ")
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s.append(" ")
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if google_output != output3:
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k.append(output3)
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s.append(source3)
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else:
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k.append(" ")
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s.append(" ")
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if google_output != output4:
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k.append(output4)
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s.append(source4)
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else:
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k.append(" ")
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s.append(" ")
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if google_output != output5:
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k.append(output5)
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s.append(source5)
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else:
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k.append(" ")
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s.append(" ")
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k.insert(0,sentence)
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k.insert(1,google_output)
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s1ANDm1, s2ANDm2, s3ANDm3 = selection_source(s, sources_name, trans, methods_name )
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#print("s1", s1ANDm1)
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#print("s2", s2ANDm2)
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#print("s3", s3ANDm3)
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#print(s1ANDm1[0])
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#print(sources_name)
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#add_dial_comparison_doc1a(doc1a, table1a , k, s, s1ANDm1[0])
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#add_dial_comparison_doc1b(doc1b, table1b , k, s, s1ANDm1[0])
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#add_dial_comparison_doc2(doc2, table2, sentence, s1ANDm1, s2ANDm2, s3ANDm3, sources_name, trans)
|
|
|
|
for a, b in sources_name.items():
|
|
if b == s1ANDm1[0]:
|
|
k = a
|
|
output1 = trans[str(k)]
|
|
|
|
if s2ANDm2[0] != "":
|
|
for c, d in sources_name.items():
|
|
if d == s2ANDm2[0]:
|
|
l = c
|
|
output2 = trans[str(l)]
|
|
else:
|
|
output2 = output1
|
|
|
|
if s3ANDm3[0] != "":
|
|
for e, f in sources_name.items():
|
|
if f == s3ANDm3[0]:
|
|
m = e
|
|
output3 = trans[str(m)]
|
|
else:
|
|
output3 = output1
|
|
|
|
output = final_out(output1, output2, output3, target_lang)
|
|
|
|
return output
|
|
|
|
#to return the table with best 3 outputs
|
|
def add_dial_comparison_doc2(doc2, table2, sentence, s1ANDm1, s2ANDm2, s3ANDm3, sources_name, trans):
|
|
row_Cells = table2.add_row().cells
|
|
for a, b in sources_name.items():
|
|
# print(sources_name.items())
|
|
# print(b)
|
|
# print(s1ANDm1[0])
|
|
|
|
if b == s1ANDm1[0]:
|
|
k = a
|
|
output1 = trans[str(k)]
|
|
|
|
row_Cells[0].text= sentence
|
|
row_Cells[1].text= output1
|
|
row_Cells[1].paragraphs[0].add_run('(Source : '+str(s1ANDm1[0])+')')
|
|
row_Cells[1].paragraphs[0].add_run('(Methods : '+str(s1ANDm1[1])+')')
|
|
|
|
if s2ANDm2[0] == "":
|
|
row_Cells[2].text= ""
|
|
else:
|
|
for a, b in sources_name.items():
|
|
if b == s2ANDm2[0]:
|
|
k = a
|
|
output2 = trans[str(k)]
|
|
row_Cells[2].text= output2
|
|
row_Cells[2].paragraphs[0].add_run('(Source : '+str(s2ANDm2[0])+')')
|
|
row_Cells[2].paragraphs[0].add_run('(Methods : '+str(s2ANDm2[1])+')')
|
|
|
|
if s3ANDm3[0] == "":
|
|
row_Cells[3].text= ""
|
|
else:
|
|
for a, b in sources_name.items():
|
|
if b == s3ANDm3[0]:
|
|
k = a
|
|
output3 = trans[str(k)]
|
|
row_Cells[3].text= output3
|
|
row_Cells[3].paragraphs[0].add_run('(Source : '+str(s3ANDm3[0])+')')
|
|
row_Cells[3].paragraphs[0].add_run('(Methods : '+str(s3ANDm3[1])+')')
|
|
|
|
def ui_option3_and_4(dial_src_lang, dial_dest_lang, dialogue, ui_option_1st_choice):
|
|
line[speaker][2]=dialogue
|
|
print("dial_src_lang", dial_src_lang)
|
|
print("dial_dest_lang", dial_dest_lang)
|
|
|
|
if ui_option_1st_choice=="Yes":
|
|
print("in ui31")
|
|
dial_translate = dial_checker(dial_dest_lang, dial_src_lang)
|
|
if dial_translate:
|
|
print("in ui311")
|
|
if line[speaker][2] == "":
|
|
return
|
|
if dial_src_lang in translation_list and dial_dest_lang in translation_list:
|
|
trans_text = translate_comparison(line[speaker][2] , dial_src_lang, dial_dest_lang)
|
|
if dual_dial_script == "Yes":
|
|
dual_script(doc, line[speaker][2], trans_text, dial_dest_lang)
|
|
else:
|
|
addDialogue(doc, trans_text, dial_dest_lang)
|
|
else:
|
|
print("in ui312")
|
|
if dual_dial_script == "Yes":
|
|
dual_script(doc, line[speaker][2], line[speaker][2], dial_dest_lang)
|
|
else:
|
|
addDialogue(doc, line[speaker][2], dial_dest_lang)
|
|
|
|
else:
|
|
print("in ui32")
|
|
output = all_transliteration(line[speaker][2], script_det(line[speaker][2]), default_script[dial_src_lang])
|
|
if dual_dial_script == "Yes":
|
|
#transliteration
|
|
dual_script(doc, line[speaker][2], output, dial_dest_lang)
|
|
else:
|
|
addDialogue(doc, output, dial_dest_lang)
|
|
|
|
def check_each_word1(sentence):
|
|
for word in sentence.split():
|
|
if language_detector(word)==non_dial_src_lang:
|
|
#print("here")
|
|
return "Yes"
|
|
return "No"
|
|
|
|
def check_each_word2(sentence):
|
|
for word in sentence.split():
|
|
if language_detector(word)!=non_dial_src_lang and language_detector(word)!=total_dial_src_lang :
|
|
return "Yes"
|
|
return "No"
|
|
|
|
def word_replacement(sentence, trans_text, lang, dest_lang ):
|
|
words = [word for word in sentence.split() if language_detector(word)==lang]
|
|
#print(words)
|
|
#words = ['फ्रेम', 'टेररिस्ट', '(फोकस)']
|
|
translate = []
|
|
transliterate = []
|
|
for word in words:
|
|
translate.append(google(word, '', dest_lang))
|
|
transliterate.append(google(word, lang, dest_lang))
|
|
for i in range(len(translate)):
|
|
if translate[i] in trans_text:
|
|
trans_text = trans_text.replace(translate[i], transliterate[i])
|
|
return trans_text
|
|
|
|
def ui_option5_translate_comparison(text, source_lang, target_lang):
|
|
sentences=sent_tokenize(text)
|
|
special_characters = ['....', '…', '. . .', '...']
|
|
translated_text = []
|
|
|
|
for sentence in sentences:
|
|
|
|
##check for sentence
|
|
if language_detector(sentence)==non_dial_src_lang: ##option5
|
|
|
|
if ui_option5_choice=="Yes":
|
|
print("in ui 51A")
|
|
if any(ext in sentence for ext in special_characters):
|
|
trans_text = translation_with_spcecial_dots(sentence, source_lang, target_lang)
|
|
translated_text.append(trans_text)
|
|
else:
|
|
trans_text = all_translator(sentence, source_lang, target_lang)
|
|
translated_text.append(trans_text)
|
|
else:
|
|
print("in ui 51B")
|
|
##transliterate(same)
|
|
source_lang = language_detector(sentence)
|
|
transliterated_text = all_transliteration(sentence, script_det(sentence), default_script[source_lang])
|
|
translated_text.append(transliterated_text)
|
|
|
|
##option6
|
|
elif language_detector(sentence)!=total_dial_src_lang and language_detector(sentence)!=non_dial_src_lang:
|
|
print("in ui 513")
|
|
if ui_option6_choice=="Yes":
|
|
if any(ext in sentence for ext in special_characters):
|
|
trans_text = translation_with_spcecial_dots(sentence, source_lang, target_lang)
|
|
translated_text.append(trans_text)
|
|
else:
|
|
trans_text = all_translator(sentence, source_lang, target_lang)
|
|
translated_text.append(trans_text)
|
|
else:
|
|
##transliterate
|
|
source_lang = language_detector(sentence)
|
|
transliterated_text = all_transliteration(sentence, script_det(sentence), default_script[source_lang])
|
|
translated_text.append(transliterated_text)
|
|
|
|
##option5&6
|
|
##for some words are in actionline language
|
|
elif language_detector(sentence)==total_dial_src_lang:
|
|
print("5word")
|
|
#option5 for actionline
|
|
if check_each_word1(sentence)=="Yes":
|
|
print("5word1")
|
|
trans_text = translate_comparison(sentence, source_lang, target_lang)
|
|
|
|
if ui_option5_choice=="Yes":
|
|
translated_text.append(trans_text)
|
|
else:
|
|
trans_text = word_replacement(sentence, trans_text, non_dial_src_lang, target_lang )
|
|
translated_text.append(trans_text)
|
|
|
|
#option6 for others
|
|
elif check_each_word2(sentence)=="Yes":
|
|
print("5word2")
|
|
trans_text = translate_comparison(sentence, source_lang, target_lang)
|
|
|
|
if ui_option6_choice=="Yes":
|
|
translated_text.append(trans_text)
|
|
else:
|
|
trans_text = word_replacement(sentence, trans_text, non_dial_src_lang, target_lang )
|
|
translated_text.append(trans_text)
|
|
|
|
##others
|
|
else:
|
|
print("5122")
|
|
trans_text = translate_comparison(sentence, source_lang, target_lang)
|
|
#print("here", trans_text)
|
|
translated_text.append(trans_text)
|
|
|
|
return " ".join(translated_text)
|
|
|
|
|
|
def ui_option5_and_6(dial_src_lang, dial_dest_lang, dialogue):
|
|
line[speaker][2]=dialogue
|
|
if line[speaker][2] == "":
|
|
return
|
|
|
|
dial_translate = dial_checker(dial_dest_lang, dial_src_lang)
|
|
if dial_translate:
|
|
print("in 51")
|
|
if dial_src_lang in translation_list and dial_dest_lang in translation_list:
|
|
trans_text = ui_option5_translate_comparison(line[speaker][2], dial_src_lang, dial_dest_lang)
|
|
|
|
if dual_dial_script == "Yes":
|
|
dual_script(doc, line[speaker][2], trans_text, dial_dest_lang)
|
|
else:
|
|
addDialogue(doc, trans_text, dial_dest_lang)
|
|
else:
|
|
print("in 52")
|
|
if dual_dial_script == "Yes":
|
|
dual_script(doc, line[speaker][2], line[speaker][2], dial_dest_lang)
|
|
else:
|
|
addDialogue(doc, line[speaker][2], dial_dest_lang)
|
|
|
|
if restrict_to_five == 'yes':
|
|
for scene in tqdm(scenes[:5]):
|
|
for i,line in enumerate(scene):
|
|
if i == 0:
|
|
addSlugLine(doc,line)
|
|
continue
|
|
if type(line)==type(""):
|
|
|
|
if global_non_dialogue_flag == "Yes":
|
|
print("in actionline")
|
|
if non_dial_src_lang in translation_list and non_dial_dest_lang in translation_list:
|
|
trans_text = translate_comparison(line , non_dial_src_lang, non_dial_dest_lang)
|
|
addActionLine(doc, trans_text, non_dial_dest_lang)
|
|
else:
|
|
addActionLine(doc, line, non_dial_dest_lang)
|
|
|
|
else:
|
|
addActionLine(doc, line, non_dial_dest_lang)
|
|
|
|
else:
|
|
#print(line)
|
|
[speaker] = line.keys()
|
|
#print([speaker])
|
|
if speaker == 'Transition':
|
|
addTransition(doc,line[speaker])
|
|
continue
|
|
addSpeaker(doc,speaker)
|
|
|
|
|
|
##dialogue block starts
|
|
if global_dialogue_flag == "Yes":
|
|
print("In dialogue")
|
|
|
|
dial_src_lang = language_detector(line[speaker][2])
|
|
print("dial_src_lang", dial_src_lang)
|
|
|
|
if line[speaker][0] != 'NONE':
|
|
#print("parenthitical", line[speaker][0])
|
|
par_lang = language_detector(line[speaker][0])
|
|
#out = google(line[speaker][0], par_lang, dial_dest_lang)
|
|
out = google(line[speaker][0], dial_src_lang, dial_dest_lang)
|
|
addParenthetical(doc,out)
|
|
|
|
##only dialogues
|
|
if line[speaker][2]=="":
|
|
continue
|
|
|
|
print("dialogue", line[speaker][2])
|
|
#print("total_dial_src_lang", total_dial_src_lang)
|
|
|
|
if dial_src_lang==non_dial_src_lang:
|
|
print("in case ui3")
|
|
ui_option3_and_4(dial_src_lang, dial_dest_lang, line[speaker][2], ui_option3_choice)
|
|
|
|
elif dial_src_lang!=non_dial_src_lang and dial_src_lang!=total_dial_src_lang:
|
|
print("in case ui4")
|
|
ui_option3_and_4(dial_src_lang, dial_dest_lang, line[speaker][2], ui_option4_choice)
|
|
|
|
elif dial_src_lang==total_dial_src_lang:
|
|
print("in case ui5_and_6")
|
|
ui_option5_and_6(dial_src_lang, dial_dest_lang, line[speaker][2])
|
|
|
|
else:
|
|
addParenthetical(doc,line[speaker][0])
|
|
addDialogue(doc, line[speaker][2], dial_dest_lang)
|
|
|
|
else:
|
|
for scene in tqdm(scenes[:]):
|
|
for i,line in enumerate(scene):
|
|
if i == 0:
|
|
addSlugLine(doc,line)
|
|
continue
|
|
if type(line)==type(""):
|
|
|
|
if global_non_dialogue_flag == "Yes":
|
|
print("in actionline")
|
|
if non_dial_src_lang in translation_list and non_dial_dest_lang in translation_list:
|
|
trans_text = translate_comparison(line , non_dial_src_lang, non_dial_dest_lang)
|
|
addActionLine(doc, trans_text, non_dial_dest_lang)
|
|
else:
|
|
addActionLine(doc, line, non_dial_dest_lang)
|
|
|
|
else:
|
|
addActionLine(doc, line, non_dial_dest_lang)
|
|
|
|
else:
|
|
#print(line)
|
|
[speaker] = line.keys()
|
|
#print([speaker])
|
|
if speaker == 'Transition':
|
|
addTransition(doc,line[speaker])
|
|
continue
|
|
addSpeaker(doc,speaker)
|
|
|
|
|
|
##dialogue block starts
|
|
if global_dialogue_flag == "Yes":
|
|
print("In dialogue")
|
|
|
|
dial_src_lang = language_detector(line[speaker][2])
|
|
print("dial_src_lang", dial_src_lang)
|
|
|
|
if line[speaker][0] != 'NONE':
|
|
#print("parenthitical", line[speaker][0])
|
|
par_lang = language_detector(line[speaker][0])
|
|
#out = google(line[speaker][0], par_lang, dial_dest_lang)
|
|
out = google(line[speaker][0], dial_src_lang, dial_dest_lang)
|
|
addParenthetical(doc,out)
|
|
|
|
##only dialogues
|
|
if line[speaker][2]=="":
|
|
continue
|
|
|
|
print("dialogue", line[speaker][2])
|
|
#print("total_dial_src_lang", total_dial_src_lang)
|
|
|
|
if dial_src_lang==non_dial_src_lang:
|
|
print("in case ui3")
|
|
ui_option3_and_4(dial_src_lang, dial_dest_lang, line[speaker][2], ui_option3_choice)
|
|
|
|
elif dial_src_lang!=non_dial_src_lang and dial_src_lang!=total_dial_src_lang:
|
|
print("in case ui4")
|
|
ui_option3_and_4(dial_src_lang, dial_dest_lang, line[speaker][2], ui_option4_choice)
|
|
|
|
elif dial_src_lang==total_dial_src_lang:
|
|
print("in case ui5_and_6")
|
|
ui_option5_and_6(dial_src_lang, dial_dest_lang, line[speaker][2])
|
|
|
|
else:
|
|
addParenthetical(doc,line[speaker][0])
|
|
addDialogue(doc, line[speaker][2], dial_dest_lang)
|
|
|
|
|
|
|
|
|
|
doc.save(doc_file)
|
|
|
|
formInput = getInputs(doc_file)
|
|
dial_src_script = formInput[2]
|
|
|
|
if dial_conv_script!=dial_dest_script:
|
|
print(dial_conv_script)
|
|
print(dial_dest_script)
|
|
print(dual_dial_script)
|
|
dual_dial_script = user_script_data.get("dual_dial_script") # Yes,No
|
|
print("this dual dial script for transliteration. :",dual_dial_script)
|
|
print("transliteration_translation started")
|
|
makeTransliteration_translation("Yes", doc_file, dial_dest_script, dual_dial_script, filename1)
|
|
else:
|
|
if dial_src_script!=dial_dest_script:
|
|
print(dial_src_script)
|
|
print(dial_dest_script)
|
|
print(total_dial_src_lang)
|
|
print(dial_dest_lang)
|
|
|
|
print(dual_dial_script)
|
|
dual_dial_script = user_script_data.get("dual_dial_script") # Yes,No
|
|
print("this dual dial script for transliteration. :",dual_dial_script)
|
|
print("transliteration started")
|
|
makeTransliteration_only("Yes", dial_dest_script, dual_dial_script, filename1,dial_dest_lang)
|
|
|
|
if (user_script_data != None):
|
|
convert_to_pdf(
|
|
doc_file, rf'{basePath}/media/scripts/translated')
|
|
saveFile = doc_file.split('.')[0] + ".pdf"
|
|
user_script_data["translated_script_path"] = saveFile.split('MNF')[1]
|
|
|
|
db["mnfapp_mnfscriptdatabase"].save(user_script_data)
|
|
print("saved done go to ")
|
|
|
|
else:
|
|
#print(" Entry for script id not found")
|
|
log.info("Entry for script id not found")
|