def analyze_audio():
print(request.json['texto'])
''' Parte para programar y traducir al inglés '''
language_translator = LanguageTranslator(
version='2018-03-16',
iam_api_key='XmyHrVcLnTgWC3Ou33zGB989tcrOxocykZeZDUJxdlP6',
url='https://gateway.watsonplatform.net/language-translator/api')
translation = language_translator.translate(
text=request.json['texto'],
model_id='es-en')
''' Parte para sacar insights del texto '''
natural_language_understanding = NaturalLanguageUnderstandingV1(
username='******',
password='******',
version='2018-03-16')
response = natural_language_understanding.analyze(
text=json.loads(json.dumps(translation, indent=2, ensure_ascii=False))["translations"][0]["translation"],
features=Features(
entities=EntitiesOptions(
emotion=True,
sentiment=True,
limit=2),
keywords=KeywordsOptions(
emotion=True,
sentiment=True,
limit=2)))
return jsonify(json.dumps(response, indent=2))
def translate(text_to_translate):
language_translation = LanguageTranslation(
version='2018-05-01',
iam_apikey='0W0AoUw-0Yxg11L5DmNPFPbwMM7De0vT-5IeTyrES-co')
translation = language_translation.translate(text=text_to_translate,
source='en',
target='fr')
# return translation['result']
return translation.result['translations'][0]['translation']
def post_list(request):
posts = Post.objects.filter(
published_date__lte=timezone.now()).order_by('published_date')
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
language_translator = LanguageTranslator(
version='2018-07-22',
iam_api_key='GQKCZYnTvRuyF7ETgKfqCrHfmDqi1b7JDsghX76zyYKO')
# print(json.dumps(translation, indent=2, ensure_ascii=False))
for post in posts:
posting = post.text
toneObj = json.dumps(tone_analyzer.tone(tone_input=posting,
content_type="text/plain"),
indent=2)
post.toneObj2 = json.loads(toneObj)
post.angerScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][0]['score']
post.disgustScore = post.toneObj2['document_tone']['tone_categories'][
0]['tones'][1]['score']
post.fearScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][2]['score']
post.joyScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][3]['score']
post.sadScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][4]['score']
translation = language_translator.translate(text=post.text,
source='en',
target='es')
obj = json.dumps(translation, indent=2, ensure_ascii=False)
post.obj2 = json.loads(obj)
post.translation = post.obj2['translations'][0]['translation']
post.wordCount = post.obj2['word_count']
post.characterCount = post.obj2['character_count']
return render(request, 'blog/post_list.html', {'posts': posts})
def get_response_from_language_translator(version, iam_apikey, url, word):
language_translator = LanguageTranslator(
version = version,
iam_apikey = iam_apikey,
url= url
)
try:
translation = language_translator.translate(
text=str(word),
model_id='tr-en').get_result()
#print(json.dumps(translation, indent=2, ensure_ascii=False))
# Returned answer string manupulation
j = json.dumps(translation, indent=2)
out_json = json.loads(j)
output = out_json['translations'][0]['translation'] # *** check here ***
return output
except WatsonApiException as ex:
return "Method failed with status code " + str(ex.code) + ": " + ex.message
from watson_developer_cloud import LanguageTranslatorV3 as LanguageTranslator
language_translator = LanguageTranslator(version='2018-12-03',
iam_apikey={},
url={})
# translation = language_translator.translate(
# text='Hello',
# model_id='en-ja').get_result()
# print(json.dumps(translation, indent=2, ensure_ascii=False))
num = 0
while (num < 1):
text = input('和英翻訳するよ。日本語か英語を入力してね。\n')
# 言語識別
identify = language_translator.identify(text)
language = identify.get_result()
source = language['languages'][0]['language']
if source == 'en':
target = 'ja'
elif source == 'ja':
target = 'en'
else:
source = 'ja'
target = 'en'
# 翻訳
translation = language_translator.translate(text=text,
source=source,
target=target)
print(translation.result['translations'][0]['translation'])
print()
num += 1
def post_list(request):
posts = Post.objects.filter(published_date__lte=timezone.now()).order_by('published_date')
tone_analyzer = ToneAnalyzerV3(
username='', #get your own API key and password from IBM Watson
password='',
version='2016-05-19')
natural_language_understanding = NaturalLanguageUnderstandingV1(
version='2018-07-30',
username='', #get your own API key and password from IBM Watson
password='')
language_translator = LanguageTranslator(
version='2018-07-22',
iam_api_key='' #get your API key from IBM Watson
)
# print(json.dumps(translation, indent=2, ensure_ascii=False))
for post in posts:
posting = post.text
posting = post.text
toneObj = json.dumps(tone_analyzer.tone(tone_input=posting,
content_type="text/plain"), indent=2)
post.toneObj2 = json.loads(toneObj)
post.angerScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][0]['score']
post.disgustScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][1]['score']
post.fearScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][2]['score']
post.joyScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][3]['score']
post.sadScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][4]['score']
translation = language_translator.translate(
text=post.text,
source='en',
target='es')
translationFrench = language_translator.translate(
text=post.text,
source='en',
target='fr')
obj = json.dumps(translation, indent=2, ensure_ascii=False)
obj2 = json.dumps(translationFrench, indent=2, ensure_ascii=False)
post.obj = json.loads(obj)
post.obj2 = json.loads(obj2)
post.translationFrench = post.obj2['translations'][0]['translation']
post.translation = post.obj['translations'][0]['translation']
post.wordCount = post.obj2['word_count']
post.characterCount = post.obj2['character_count']
response = natural_language_understanding.analyze(
text=posting,
features=Features(
entities=EntitiesOptions(emotion=True, sentiment=True, limit=2),
keywords=KeywordsOptions(
emotion=True,
sentiment=True,
limit=2)))
obj3 = (json.dumps(response, indent=2))
post.obj3 = json.loads(obj3)
post.entities = post.obj3['entities']
post.name = None
"""if ('disambiguation' in post.entities[0]):
post.name = post.entities[0]['disambiguation']['name']
post.link = post.entities[0]['disambiguation']['dbpedia_resource']
else:
post.name = post.entities[1]['disambiguation']['name']
post.link = post.entities[1]['disambiguation']['dbpedia_resource']"""
return render(request, 'blog/post_list.html', {'posts': posts})
def post_detail(request, pk):
post = get_object_or_404(Post, pk=pk)
tone_analyzer = ToneAnalyzerV3(
username='', #get your own API key and password from IBM Watson
password='',
version='2016-05-19 ')
natural_language_understanding = NaturalLanguageUnderstandingV1(
version='', #get your own API key and password from IBM Watson
username='',
password='******')
language_translator = LanguageTranslator(
version='', #get your own API key and password from IBM Watson
iam_api_key='GQKCZYnTvRuyF7ETgKfqCrHfmDqi1b7JDsghX76zyYKO'
)
posting = post.text
toneObj = json.dumps(tone_analyzer.tone(tone_input=posting,
content_type="text/plain"), indent=2)
post.toneObj2 = json.loads(toneObj)
post.angerScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][0]['score']
post.disgustScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][1]['score']
post.fearScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][2]['score']
post.joyScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][3]['score']
post.sadScore = post.toneObj2['document_tone']['tone_categories'][0]['tones'][4]['score']
translation = language_translator.translate(
text=posting,
source='en',
target='es')
translationFrench = language_translator.translate(
text=posting,
source='en',
target='fr')
obj = json.dumps(translation, indent=2, ensure_ascii=False)
obj2 = json.dumps(translationFrench, indent=2, ensure_ascii=False)
post.obj = json.loads(obj)
post.obj2 = json.loads(obj2)
post.translationFrench = post.obj2['translations'][0]['translation']
post.translation = post.obj['translations'][0]['translation']
post.wordCount = post.obj2['word_count']
post.characterCount = post.obj2['character_count']
response = natural_language_understanding.analyze(
text=posting,
features=Features(
entities=EntitiesOptions(emotion=True, sentiment=True, limit=2),
keywords=KeywordsOptions(
emotion=True,
sentiment=True,
limit=2)))
obj3 = (json.dumps(response, indent=2))
post.obj3 = json.loads(obj3)
post.entities = post.obj3['entities']
post.length = len(post.entities)
post.name = "IBM Watson cannot detect the country's name"
if 'disambiguation' in post.entities[0]:
post.disambiguation = post.entities[0]['disambiguation']
if 'name' in post.disambiguation:
post.name = post.disambiguation['name']
post.link = post.disambiguation['dbpedia_resource']
else:
if 'disambiguation' in post.entities[1]:
post.disambiguation = post.entities[1]['disambiguation']
if 'name' in post.disambiguation:
post.name = post.disambiguation['name']
post.link = post.disambiguation['dbpedia_resource']
# Post.objects.get(pk=pk)
return render(request, 'blog/post_detail.html', {'post': post})
def post_list(request):
posts = Post.objects.filter(
published_date__lte=timezone.now()).order_by('published_date')
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
natural_language_understanding = NaturalLanguageUnderstandingV1(
version='2018-07-30',
username='******',
password='******')
language_translator = LanguageTranslator(
version='2018-07-22',
iam_api_key='GQKCZYnTvRuyF7ETgKfqCrHfmDqi1b7JDsghX76zyYKO')
# print(json.dumps(translation, indent=2, ensure_ascii=False))
for post in posts:
posting = post.text
toneObj = json.dumps(tone_analyzer.tone(tone_input=posting,
content_type="text/plain"),
indent=2)
post.toneObj2 = json.loads(toneObj)
post.angerScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][0]['score']
post.disgustScore = post.toneObj2['document_tone']['tone_categories'][
0]['tones'][1]['score']
post.fearScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][2]['score']
post.joyScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][3]['score']
post.sadScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][4]['score']
translation = language_translator.translate(text=post.text,
source='en',
target='es')
translationFrench = language_translator.translate(text=post.text,
source='en',
target='fr')
obj = json.dumps(translation, indent=2, ensure_ascii=False)
obj2 = json.dumps(translationFrench, indent=2, ensure_ascii=False)
post.obj = json.loads(obj)
post.obj2 = json.loads(obj2)
post.translationFrench = post.obj2['translations'][0]['translation']
post.translation = post.obj['translations'][0]['translation']
post.wordCount = post.obj2['word_count']
post.characterCount = post.obj2['character_count']
response = natural_language_understanding.analyze(
text=posting,
features=Features(entities=EntitiesOptions(emotion=True,
sentiment=True,
limit=2),
keywords=KeywordsOptions(emotion=True,
sentiment=True,
limit=2)))
obj3 = (json.dumps(response, indent=2))
post.obj3 = json.loads(obj3)
post.entities = post.obj3['entities']
post.length = len(post.entities)
post.name = None
if ('disambiguation' in post.entities[0]):
post.name = post.entities[0]['disambiguation']['name']
post.link = post.entities[0]['disambiguation']['dbpedia_resource']
else:
post.name = post.entities[1]['disambiguation']['name']
post.link = post.entities[1]['disambiguation']['dbpedia_resource']
return render(request, 'blog/post_list.html', {'posts': posts})
