def say_message(message):
global messageIndex
print("We say '%s'" % message)
(action, restOfPhrase) = extractAction(message)
print("action: %s" % action)
print("restOfPhrase: %s" % restOfPhrase)
if action is not None:
if action.lower() == "twitter":
import brain as Brain
Brain.searchTwitterForValue(restOfPhrase)
return
elif action == "neutral":
ACTION.action_be_neutral()
elif action == "happy":
ACTION.action_be_happy()
elif action == "unhappy":
ACTION.action_be_unhappy()
elif action == "angry":
ACTION.action_be_angry()
elif action == "surprised":
ACTION.action_be_surprised()
else:
RESPONSE_INFO.analyse(message)
thisIndex = messageIndex
filename = os.path.realpath('audio/%s.wav' % thisIndex)
os.system("espeak -g 10 -w %s \"%s\"" % (filename, restOfPhrase))
messageIndex = messageIndex + 1
for client in SocketManager.clients:
client.write_message("audio:http://bb4d0cce.ngrok.io/audio/%s.wav" % thisIndex)
def analyse(message):
values = {
'key' : '8ad960732d31af8741e42faf716b7d14',
'txt' : message,
'model' : 'general_en'
}
data = urllib.urlencode(values)
req = urllib2.Request("https://api.meaningcloud.com/sentiment-2.0", data)
response = urllib2.urlopen(req)
data = json.load(response)
if data['subjectivity'] == "SUBJECTIVE":
# Opinion
if data['score_tag'] == "P" or data['score_tag'] == "P+":
print("Be happy")
ACTION.action_be_happy()
elif data['score_tag'] == "N" or data['score_tag'] == "N+":
print("Be Sad")
ACTION.action_be_unhappy()
else:
ACTION.action_be_surprised()
print("No Comment")
else:
if data['score_tag'] == "P" or data['score_tag'] == "P+":
print("I agree")
ACTION.action_be_surprised()
elif data['score_tag'] == "N" or data['score_tag'] == "N+":
print("Be Angry")
ACTION.action_be_angry()
else:
ACTION.action_be_surprised()
