def Integrate(optional_message = None):
import CoreNLP
if optional_message:
sentence = optional_message
print "Text input provided: '" + optional_message + "'"
else:
greeting_str = 'Hi ' + settings.username.capitalize()
greeting_str += '! What can I help you with?'
speech.speak(greeting_str, True)
(success, sentence) = speech.listen()
if not success:
speech.speak(sentence, True)
exit()
# CoreNLP is weird, need to replace some stuff to make it properly recognize short sentences
sentence = sentence.replace("Start", "start").replace("open", "Open").replace("Please", "").replace("please", "")
# Call NLP parsing function
(verb, verb_object, noun2, verb2, preposition, adjective) = CoreNLP.Parse(sentence)
# Fix some more edge cases with broken sentences
if not verb:
verb, verb_object = CoreNLPFail(sentence)
# TODO: Eventually we should probably not attach the preposition to the verb (does it actually improve accuracy?)
if preposition:
verb = "%s %s" % (verb, preposition)
verb_object = noun2
if not assistantdb.parse(verb.lower(), verb_object.lower(), noun2.lower(), verb2.lower(), adjective.lower()):
speech.speak('Sorry, I don\'t understand what you want.', True)
def run(self):
say('How can I help you?')
while 1:
self.label.show_listening()
voice_data = listen(self.label.show_processing)
self.execute(voice_data, self.root)
time.sleep(5)
def Integrate(optional_message=None):
import CoreNLP
if optional_message:
sentence = optional_message
print "Text input provided: '" + optional_message + "'"
else:
greeting_str = 'Hi ' + settings.username.capitalize()
greeting_str += '! What can I help you with?'
speech.speak(greeting_str, True)
(success, sentence) = speech.listen()
if not success:
speech.speak(sentence, True)
exit()
# CoreNLP is weird, need to replace some stuff to make it properly recognize short sentences
sentence = sentence.replace("Start",
"start").replace("open", "Open").replace(
"Please", "").replace("please", "")
# Call NLP parsing function
(verb, verb_object, noun2, verb2, preposition,
adjective) = CoreNLP.Parse(sentence)
# Fix some more edge cases with broken sentences
if not verb:
verb, verb_object = CoreNLPFail(sentence)
# TODO: Eventually we should probably not attach the preposition to the verb (does it actually improve accuracy?)
if preposition:
verb = "%s %s" % (verb, preposition)
verb_object = noun2
if not assistantdb.parse(verb.lower(), verb_object.lower(), noun2.lower(),
verb2.lower(), adjective.lower()):
speech.speak('Sorry, I don\'t understand what you want.', True)
def indextest():
answer = 'test'
imgurl = ''
question = ''
if request.method == 'GET':
return {
'question': question,
'answer': answer,
'imgurl': imgurl,
'state': 2
} # ！state=2第一次前端判断
elif request.method == 'POST':
f = request.files['upfile']
with open('audio.wav', 'wb') as audio:
f.save(audio)
question = listen()
if '中国' or '疫情' in question:
answer = ''
imgurl = './img/chinese_map.png'
return {
'question': question,
'answer': answer,
'imgurl': imgurl,
'state': 2
} # state=4 将返回的地址处理成图片
if '世界' and '确诊' in question:
answer = ''
imgurl = './img/world.png'
return {
'question': question,
'answer': answer,
'imgurl': imgurl,
'state': 2
}
# else: # 进行一问一答
# answer = handler.chat_main(question) # 接口1产生的answer（未return）
# imgurl = ''
# if answer == "这个问题知识库中暂时没有，请查看用户问答库中有没有您要问的问题":
# return {'answer': answer,'imgurl':imgurl, 'state':2} # 1代表跳转接口2
# else: # 机器可以回答
# answer=answer+'\n可以解决你的问题吗？'
# imgurl = ''
# return {'answer': answer, 'imgurl':imgurl,'state':2} # ！state=2第一次前端判断
# # 前端判断 用户输入可以或不可 可以输出感谢您的提问 不可以跳转接口2
return {
'question': question,
'answer': answer,
'imgurl': imgurl,
'state': 2
} # ！state=2第一次前端判断
def recieve():
return 'yes'
x = random.randint(0, 1)
if (x == 0):
return 'no'
else:
return 'yes'
time.sleep(5)
tts('Hello')
#play()
time.sleep(2)
data = listen()
time.sleep(2)
return data
def openTab():
'''Opens tab when whole hand visible'''
import webbrowser
import speech
print('Open')
website = speech.listen().strip().split(' ')
url = ''
if(('Google' in website[0] or 'google' in website[0]) and len(website)>1):
url += 'https://www.google.com/search?q='
for words in range(1,len(website)):
url += website[words]
url += ' '
elif(len(website)>1):
for words in website:
url += website
else:
url += 'https://www.' + website[0] + '.com'
print('link is:',url)
webbrowser.open_new_tab(url)
def location(root):
say('What place do you want to find?')
search = listen()
url = 'https://google.nl/maps/place/' + search + '/&'
webbrowser.get().open(url)
return 'I think this is the place.'
def search(root):
say('What do you want me to look up?')
search = listen()
url = 'https://google.com/search?q=' + search
webbrowser.get().open(url)
return f'This is what I found on {search}.'