520 lines
20 KiB
Python
520 lines
20 KiB
Python
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from .translation_resources import google, aws, azure, yandex
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from nltk.tokenize import regexp_tokenize
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from .script_writing import default_script
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from narration.vectorcode.code.functions import ScriptBreakdown
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from .transliteration_resources import azure_transliteration, om_transliterator, libindic, indic_transliteration_IAST, indic_transliteration_ITRANS, sheetal, ritwik
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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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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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try:
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print("time9999")
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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:
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nltk.data.find('wordnet')
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except LookupError:
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###nltk.download('wordnet')
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print("error in finding wordnet6666666")
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from nltk.tokenize import sent_tokenize
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print("7777777")
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from .all_transliteration import all_transliteration
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print("88")
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from MNF.settings import BasePath
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basePath = BasePath()
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#basePath = '/home/user/mnf/project/MNF'
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# google
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# os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="gifted-mountain-318504-0a5f94cda0c8.json"
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#os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = rf"{basePath}/conversion/My First Project-2573112d5326.json"
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os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = rf"{basePath}/MNF/json_keys/authentication.json"
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# os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = rf"{basePath}/conversion/gifted-mountain-318504-4f001d5f08db.json"
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translate_client = Translate.Client()
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print("9999")
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client = translate.TranslationServiceClient()
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print("101010")
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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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print("11111")
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def action_line_english(script_path):
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filename1 = script_path
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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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# create an instance of a word document
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doc = docx.Document()
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doc_file = BasePath()+"/conversion/translation/translated/" + "actionline" + \
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"trans" + '_of_' + ntpath.basename(filename1)
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print(doc_file)
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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(
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'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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# log.debug(characters)
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scenes, actionline, parenthetical_lis, speakers, dialogues = getScenes(
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refined, total_scenes, characters)
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# refined, total_scenes = ScriptBreakdown().getRefined(filename1)
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# sluglines, without_slug = ScriptBreakdown().getSlugAndNonSlug(refined)
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# characters = ScriptBreakdown().getSpeakers(without_slug)
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# scenes, actionline, parenthetical_lis, speakers, dialogues = ScriptBreakdown().getScenes(
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# 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(
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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(
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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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trans_text = compare_outputs(
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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(
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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(
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Sentence, source_lang, target_lang) + i
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else:
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trans_text = all_translator(
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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(
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Sentence, source_lang, target_lang) + splitter
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else:
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trans_text = all_translator(
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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(
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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 = '''!()-[]{};:'"\,<>./?@#$%^&*_~“"”'''
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no_punct = ""
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for char in text:
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if char not in punctuations:
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no_punct = char
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break
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#print("alphabet", no_punct)
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script = script_cat(no_punct)[0]
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#print("script", script)
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return script
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def punct_remover(string):
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# punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~…।“”'''
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punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~…।1234567890“”"'''
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for x in string.lower():
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if x in punctuations:
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string = string.replace(x, " ")
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return string
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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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temp_output1 = punct_remover(output1)
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temp_output2 = punct_remover(output2)
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temp_output3 = punct_remover(output3)
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# for word in regexp_tokenize(output1, "[\w']+")
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for word in temp_output1.split():
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#print("word", word)
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if script_det(word) != default_script[dest_lang]:
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for word in temp_output2.split():
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if script_det(word) != default_script[dest_lang]:
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for word in temp_output3.split():
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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(
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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',
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'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(
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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 are 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)
|
||
|
|
else:
|
||
|
|
k.append(" ")
|
||
|
|
s.append(" ")
|
||
|
|
if google_output != output2:
|
||
|
|
k.append(output2)
|
||
|
|
s.append(source2)
|
||
|
|
else:
|
||
|
|
k.append(" ")
|
||
|
|
s.append(" ")
|
||
|
|
if google_output != output3:
|
||
|
|
k.append(output3)
|
||
|
|
s.append(source3)
|
||
|
|
else:
|
||
|
|
k.append(" ")
|
||
|
|
s.append(" ")
|
||
|
|
if google_output != output4:
|
||
|
|
k.append(output4)
|
||
|
|
s.append(source4)
|
||
|
|
else:
|
||
|
|
k.append(" ")
|
||
|
|
s.append(" ")
|
||
|
|
if google_output != output5:
|
||
|
|
k.append(output5)
|
||
|
|
s.append(source5)
|
||
|
|
else:
|
||
|
|
k.append(" ")
|
||
|
|
s.append(" ")
|
||
|
|
|
||
|
|
k.insert(0, sentence)
|
||
|
|
k.insert(1, google_output)
|
||
|
|
s1ANDm1, s2ANDm2, s3ANDm3 = selection_source(
|
||
|
|
s, sources_name, trans, methods_name)
|
||
|
|
# print("s1", s1ANDm1)
|
||
|
|
# print("s2", s2ANDm2)
|
||
|
|
# print("s3", s3ANDm3)
|
||
|
|
# print(s1ANDm1[0])
|
||
|
|
# print(sources_name)
|
||
|
|
|
||
|
|
#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
|
||
|
|
|
||
|
|
# print("output1", output1)
|
||
|
|
# print("output2", output2)
|
||
|
|
# print("output3", output3)
|
||
|
|
|
||
|
|
output = final_out(output1, output2, output3, target_lang)
|
||
|
|
|
||
|
|
# print("output", output)
|
||
|
|
|
||
|
|
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():
|
||
|
|
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 actionline_translation(text, non_dial_src_lang, non_dial_dest_lang):
|
||
|
|
|
||
|
|
if non_dial_src_lang in translation_list and non_dial_dest_lang in translation_list:
|
||
|
|
trans_text = translate_comparison(
|
||
|
|
text, non_dial_src_lang, non_dial_dest_lang)
|
||
|
|
addActionLine(doc, trans_text, non_dial_dest_lang)
|
||
|
|
else:
|
||
|
|
addActionLine(doc, text, non_dial_dest_lang)
|
||
|
|
|
||
|
|
# def all_transliterator(text, source_script, dest_script):
|
||
|
|
|
||
|
|
# return text
|
||
|
|
|
||
|
|
count = 0
|
||
|
|
for scene in tqdm(scenes[:]):
|
||
|
|
for i, line in enumerate(scene):
|
||
|
|
if i == 0:
|
||
|
|
continue
|
||
|
|
if type(line) == type(""):
|
||
|
|
if count == 0:
|
||
|
|
non_dial_src_lang = language_detector(line)
|
||
|
|
non_dial_script = script_det(line)
|
||
|
|
count += 1
|
||
|
|
else:
|
||
|
|
pass
|
||
|
|
if count != 0:
|
||
|
|
break
|
||
|
|
|
||
|
|
print("non_dial_src_lang", non_dial_src_lang)
|
||
|
|
print("non_dial_script", non_dial_script)
|
||
|
|
|
||
|
|
non_dial_dest_lang = "en"
|
||
|
|
for scene in tqdm(scenes[:]):
|
||
|
|
for i, line in enumerate(scene):
|
||
|
|
if i == 0:
|
||
|
|
addSlugLine(doc, line)
|
||
|
|
continue
|
||
|
|
if type(line) == type(""):
|
||
|
|
|
||
|
|
if non_dial_src_lang == non_dial_dest_lang:
|
||
|
|
# print("here1")
|
||
|
|
addActionLine(doc, line, non_dial_dest_lang)
|
||
|
|
else:
|
||
|
|
# print("here2")
|
||
|
|
if non_dial_script == default_script[non_dial_src_lang]:
|
||
|
|
# print("here3")
|
||
|
|
actionline_translation(
|
||
|
|
line, non_dial_src_lang, non_dial_dest_lang)
|
||
|
|
else:
|
||
|
|
transliterated_text = all_transliteration(line, script_det(
|
||
|
|
non_dial_src_lang), default_script[non_dial_src_lang])
|
||
|
|
actionline_translation(
|
||
|
|
transliterated_text, non_dial_src_lang, non_dial_dest_lang)
|
||
|
|
|
||
|
|
else:
|
||
|
|
|
||
|
|
[speaker] = line.keys()
|
||
|
|
if speaker == 'Transition':
|
||
|
|
addTransition(doc, line[speaker])
|
||
|
|
continue
|
||
|
|
addSpeaker(doc, speaker)
|
||
|
|
|
||
|
|
if line[speaker][0] != 'NONE':
|
||
|
|
addParenthetical(doc, line[speaker][0])
|
||
|
|
|
||
|
|
if line[speaker][2] == "":
|
||
|
|
continue
|
||
|
|
|
||
|
|
addDialogue(doc, line[speaker][2], non_dial_dest_lang)
|
||
|
|
|
||
|
|
doc.save(doc_file)
|
||
|
|
return doc_file
|
||
|
|
# doc2.save("....")
|
||
|
|
|