print(' 3)inpText = ' + str(inpText))
if os.path.exists(inpText):
os.remove(inpText)
resText = ''
if (os.path.exists(inpWave)):
#try:
googleAPI = google_api.SpeechAPI()
res = googleAPI.authenticate('stt', google_key.getkey('stt'), )
if (res == True):
resText, api = googleAPI.recognize(inpWave=inpWave, inpLang=inpLang)
#except:
# pass
print(' ' + resText)
if (resText != ''):
w = codecs.open(inpText, 'w', 'shift_jis')
w.write(resText)
w.close()
w = None
tts.save(outFile)
return outText, 'free'
except:
pass
return '', ''
if __name__ == '__main__':
#googleAPI = google_api.SpeechAPI()
googleAPI = SpeechAPI()
res1 = googleAPI.authenticate(
'stt',
google_key.getkey('stt'),
)
res2 = googleAPI.authenticate(
'tra',
google_key.getkey('tra'),
)
res3 = googleAPI.authenticate(
'tts',
google_key.getkey('tts'),
)
print('authenticate:', res1, res2, res3)
if (res1 == True) and (res2 == True) and (res3 == True):
text = 'Hallo'
file = 'temp_voice.mp3'
def qOCR2Trn(
useApi='google',
inpLang='ja',
inpAry=['Hallo'],
trnLang='en',
apiRecovery=False,
):
resText = ''
resApi = ''
resAry = None
api = useApi
if (api != 'free') and (api != 'google') \
and (api != 'azure'):
api = 'google'
if (resText == '') and (api == 'azure'):
a_azureAPI = a_azure_api.SpeechAPI()
ver, key = a_azure_key.getkey('tra')
res = a_azureAPI.authenticate(
'tra',
ver,
key,
)
if (a_res == True):
resAry = []
resAry.append('[Translate] ' + trnLang + ' (' + api + ')')
l = 0
for text in inpAry:
l += 1
if (l > 1):
outText, api = a_azureAPI.translate(
inpText=text,
inpLang=inpLang,
outLang=trnLang,
)
if (outText != ''):
text = outText
resApi = api
resAry.append(text)
resText += str(text) + ','
if (resText == '') and ((api == 'free') or (api == 'google')):
a_googleAPI = a_google_api.SpeechAPI()
a_res = a_googleAPI.authenticate(
'tra',
a_google_key.getkey('tra'),
)
if (a_res == True):
resAry = []
resAry.append('[Translate] ' + trnLang + ' (' + api + ')')
l = 0
for text in inpAry:
l += 1
if (l > 1):
outText, api = a_googleAPI.translate(
inpText=text,
inpLang=inpLang,
outLang=trnLang,
)
if (outText != ''):
text = outText
resApi = api
resAry.append(text)
resText += str(text) + ','
if (resText != ''):
return resText, resApi, resAry
return '', '', None
rt = codecs.open(inpFile, 'r', 'shift_jis')
for t in rt:
inpText = (inpText + ' ' + str(t)).strip()
rt.close
rt = None
outText = ''
if (inpText != ''):
#try:
print(' ' + inpText)
googleAPI = google_api.SpeechAPI()
res = googleAPI.authenticate(
'tra',
google_key.getkey('tra'),
)
if (res == True):
outText, api = googleAPI.translate(
inpText=inpText,
inpLang=inpLang,
outLang=outLang,
)
#except:
#print(' Error!', sys.exc_info()[0])
#sys.exit()
print(' ' + outText)
if (outText != ''):
def cv(self, inpImage, inpLang='ja', ):
res_text = None
res_api = ''
if (self.cv_key == None):
print('GOOGLE: Not Authenticate Error !')
else:
lang = inpLang
if (True):
try:
rb = open(inpImage, 'rb')
photo = rb.read()
rb.close
rb = None
photo_b64 = base64.b64encode(photo).decode('utf-8')
url = self.cv_url
headers = {
'Content-Type': 'application/json',
}
params = {
'key': self.cv_key,
}
json_data = {
'requests': [ {
'image': {
'content': photo_b64,
},
'imageContext': {
'languageHints': lang,
},
'features': [ {
'type': 'LABEL_DETECTION',
'maxResults': 10,
},
{
'type': 'LANDMARK_DETECTION',
'maxResults': 10,
},
{
'type': 'TEXT_DETECTION',
'maxResults': 10,
}, ],
}, ],
}
res = requests.post(url, headers=headers, params=params,
data=json.dumps(json_data), timeout=self.timeOut, )
#print(res)
if (res.status_code == 200):
res_json = json.loads(res.text)
#print(res_json)
detect_label = ''
detect_landmark = ''
for response in res_json['responses']:
try:
for label in response['labelAnnotations']:
text = label['description']
a_googleAPI = a_google_api.SpeechAPI()
a_res = a_googleAPI.authenticate('tra', a_google_key.getkey('tra'), )
if (a_res == True):
outText, api = a_googleAPI.translate(inpText=text, inpLang='en', outLang=lang, )
if (outText != ''):
text = outText
detect_label += str(text) + ','
detect_label = detect_label.strip()
except:
pass
try:
for landmark in response['landmarkAnnotations']:
text = landmark['description']
a_googleAPI = a_google_api.SpeechAPI()
a_res = a_googleAPI.authenticate('tra', a_google_key.getkey('tra'), )
if (a_res == True):
outText, api = a_googleAPI.translate(inpText=text, inpLang='en', outLang=lang, )
if (outText != ''):
text = outText
detect_landmark += str(text) + ','
detect_landmark = detect_landmark.strip()
except:
pass
res_text = {}
res_text['label'] = detect_label
res_text['landmark'] = detect_landmark
except:
pass
return res_text, 'google'
return None, ''
if (os.path.exists(outFile)):
rt = codecs.open(outFile, 'r', 'shift_jis')
for t in rt:
outText = (outText + ' ' + str(t)).strip()
rt.close
rt = None
print(' ' + outText)
if (outText != ''):
#try:
googleAPI = google_api.SpeechAPI()
res = googleAPI.authenticate(
'tts',
google_key.getkey('tts'),
)
if (res == True):
res, api = googleAPI.vocalize(outText=outText,
outLang=outLang,
outFile=tmpFile)
if (res != ''):
sox = subprocess.Popen(['sox', tmpFile, '-d', '-q'])
sox.wait()
sox.terminate()
sox = None
#except:
#print(' Error!', sys.exc_info()[0])