208 lines
6.6 KiB
Python
Executable File
208 lines
6.6 KiB
Python
Executable File
from pprint import pprint
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# from swagger_client.rest import ApiException
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# import swagger_client
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import time
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import boto3
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from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
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from ibm_watson import LanguageTranslatorV3
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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 requests
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import uuid
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import json
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# import logging
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# from logger import get_module_logger
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# log = get_module_logger(__name__)
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# google
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os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "/home/mnfidea/project/MNF/conversion/subtitling/gifted-mountain-318504-0a5f94cda0c8.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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# ibm
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authenticator = IAMAuthenticator(
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'K7Qkaj3YtTSeBq1Z-LlH6MwDZIIKadvjHPHU28JynoIq')
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language_translator = LanguageTranslatorV3(
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version='2018-05-01',
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authenticator=authenticator)
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language_translator.set_service_url(
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'https://api.eu-gb.language-translator.watson.cloud.ibm.com/instances/f3ec0635-1e7d-4461-8c09-e13db386a564')
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# aws
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translate_aws = boto3.client(
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service_name='translate', region_name='us-east-2', use_ssl=True)
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# azure
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subscription_key = "83ce6233419541929f7ab0d3035fca58"
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endpoint = "https://api.cognitive.microsofttranslator.com"
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location = "eastus"
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path = '/translate'
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constructed_url = endpoint + path
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headers = {
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'Ocp-Apim-Subscription-Key': subscription_key,
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'Ocp-Apim-Subscription-Region': location,
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'Content-type': 'application/json',
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'X-ClientTraceId': str(uuid.uuid4())
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}
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constructed_url1 = "https://api.cognitive.microsofttranslator.com/transliterate?api-version=3.0"
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# lingvanex
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# configuration = swagger_client.Configuration()
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# configuration.api_key['Authorization'] = 'a_eRp1RPOP8hg3id8HYlYrlRCSwxxHR4c506NXiHtMcxIcM5GHdHfnhJn3Ea2kkSO87GTiC8qEts4ImUmN'
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# # api_instance = swagger_client.TranslateApi(
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# # swagger_client.ApiClient(configuration))
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# yandex
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url = "https://translate.yandex.net/api/v1.5/tr.json/translate"
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#log.info('Logger started working')
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def ibm_watson(text, source_lang, target_lang):
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model_id = source_lang+"-"+target_lang
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translation = language_translator.translate(
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text=text, model_id=model_id).get_result()
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# log.debug('Asad')
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return translation['translations'][0]['translation']
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def google(text, source_lang, target_lang):
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result = translate_client.translate(
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text, source_language=source_lang, target_language=target_lang)
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# log.debug('Lokesh')
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# print(result)
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return result['translatedText']
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def aws(text, source_lang, target_lang):
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result = translate_aws.translate_text(
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Text=text, SourceLanguageCode=source_lang, TargetLanguageCode=target_lang)
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return result.get('TranslatedText')
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def azure(text, target_lang):
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params = {'api-version': '3.0', 'to': target_lang}
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body = [{'text': text}]
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request = requests.post(
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constructed_url, params=params, headers=headers, json=body)
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response = request.json()
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# print(response)
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translated_text = response[0]['translations'][0]['text']
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return translated_text
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def lingvanex(text, source_lang, target_lang):
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source_lang = source_lang+"_"+source_lang.upper()
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target_lang = target_lang+"_"+target_lang.upper()
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di = {
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# "from": source_lang,
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"from": '',
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"to": target_lang,
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"data": text,
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"platform": "api"
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}
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api_response = api_instance.translate_post(request=di)
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translated_text = api_response.to_dict()['result']
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return translated_text
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def yandex(text, source_lang, target_lang):
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model_id = source_lang+"-"+target_lang
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data = {"key": "trnsl.1.1.20210129T100550Z.952c8e23466372bc.951c193191010d638334db2f2f095040b6e92843",
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"text": text,
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"lang": model_id
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}
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response = requests.post(url=url, data=data)
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# print(response)
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# print("hello")
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translated_text = json.loads(response.text)['text'][0]
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return translated_text
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def checker(text, src_lang, tar_lang):
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try:
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print("google", google(text, src_lang, tar_lang))
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except:
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pass
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try:
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print("azure", azure(text, tar_lang))
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except:
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pass
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try:
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print("aws", aws(text, src_lang, tar_lang))
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except:
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pass
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try:
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print("lingvanex", lingvanex(text, src_lang, tar_lang))
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except:
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pass
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try:
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print("yandex", yandex(text, src_lang, tar_lang))
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except:
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pass
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try:
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print("ibm", ibm_watson(text, src_lang, tar_lang))
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except:
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pass
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# log.info('Finished')
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#text = "Jestem najbogatszym człowiekiem w tym mieście"
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text = "Do saal se hum log humare call letter ka wait kar rahe."
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text = "saal"
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text = "teen"
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#text = "दो साल से हम लोग हमारे कॉल लेटर का वेट कर रहे"
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#text = "Durante dos años hemos estado esperando nuestra carta de llamada."
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# checker(text,'pl','en')
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# t = google(text, 'es', 'hi')
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# print("this is t", t)
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# print(google(text, 'en', 'hi'))
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# print("azure", azure(text, 'en')) #work both
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# print("aws", aws(text, 'en', 'hi')) # work both
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# print("lingvanex", lingvanex(text, 'mr', 'gu'))
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# print("lingvanex", lingvanex(text, 'ja', 'gu')) # work both but gives different result
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# print("yandex", yandex(text, 'bg', 'gu')) #work both
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# print("ibm_watson", ibm_watson(text, 'hi', 'gu')) #hi-gu does not work and single works
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#print("ibm_watson", ibm_watson(text, 'en', 'gu'))
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#text = "I am lokesh."
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#print("google", google(text, 'mr', 'gu'))
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# print("azure", azure(text, 'en'))
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# print("aws", aws(text, 'en', 'hi'))
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#print("lingvanex", lingvanex(text, 'mr', 'gu'))
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#print("lingvanex", lingvanex(text, 'en', 'gu'))
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#print("yandex", yandex(text, 'en', 'hi'))
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# print("ibm_watson", ibm_watson(text, 'hi', 'gu'))
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# print("ibm_watson", ibm_watson(text, 'en', 'gu'))
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#print(aws(text, 'en', 'gu'))
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# text = google(text, 'en', 'hi')
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#text = "ഞാൻ കഴിക്കുന്നു."
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#print("google", google(text, 'ml', 'en'))
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# #text = aws(text, 'en', 'hi')
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# #print(text)
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# print("aws", aws(text, 'hi', 'en'))
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# print("azure", azure(text, 'en'))
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# print("lingvanex", lingvanex(text, 'hi', 'en'))
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# print("ibm_watson", ibm_watson(text, 'hi', 'en'))
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# print("yandex", yandex(text, 'hi', 'en'))
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