def voicecontrol ():
if not ispaused:
listening.recognition(stop, 'stop', False)
else:
listening.recognition(start, 'start', False)
def recognize_search():
# playsound = searchsound.play()
# playsound.wait_done()
print ('listening for phrase')
with mic as source:
audio = r.listen(source)
response = {
"success": True,
"error": None,
"text": None
}
try:
response["text"] = r.recognize_google(audio)
except sr.RequestError:
response["success"] = False
response["error"] = "unavailable"
except sr.UnknownValueError:
response["error"] = "unknown"
if response['text']:
phrase = response['text'].replace(" ", "_")
print ('phrase: ' + phrase)
if __name__ == "__main__":
while (1):
print ('listening for keyword projector')
listening.recognition(recognize_search, 'projector')
def listen(function, keyword):
print('listening for' + keyword)
listening.recognition(function, keyword, True)
def playvideo(video_file):
if raspi:
# os.system('pkill chromium-browser')
# video_cmd = 'chromium-browser --app=' + video_file + ' &'
os.system('pkill omxplayer')
video_cmd = 'omxplayer --loop ' + video_file + ' &'
os.system(video_cmd)
time.sleep(1)
else:
webbrowser.open(video_file)
# Open CV imshow is throwing error when called not on the main thread. Trying omxplayer and chromium instead
# cap = cv2.VideoCapture(video_file)
#
# while(cap.isOpened()):
# ret, frame = cap.read()
#
# cv2.imshow('Lab Vibes',frame)
# if cv2.waitKey(1) & 0xFF == ord('q'):
# break
#
# cap.release()
# cv2.destroyAllWindows()
if __name__ == "__main__":
while (1):
print('listening for keyword projector')
listening.recognition(recognize_phrase, 'bob')
import numpy as np
import listening
# import connect
channel = connect.join()
def heardfunction():
print('you said no')
while (1):
print('Do you want to purchase more of my goods?')
# recognition takes a function that is called when keyword is head, the keyword, and if it should keep listening for the keyword
moreGoods = listening.recognition(heardfunction, 'no', False)
if moreGoods:
# load image
cap = cv2.VideoCapture('vid/wagon.avi', 0)
while (cap.isOpened()):
# read
ret, img = cap.read()
if ret:
# resize img for transform
img = cv2.resize(img, (16, 24),
interpolation=cv2.INTER_NEAREST)
audio = r.listen(source)
response = {
"success": True,
"error": None,
"text": None
}
try:
response["text"] = r.recognize_google(audio)
except sr.RequestError:
response["success"] = False
response["error"] = "unavailable"
except sr.UnknownValueError:
response["error"] = "unknown"
if response['text']:
print ('search term: ' + response['text'])
synonyms = []
for syn in wordnet.synsets(response['text']):
for l in syn.lemmas():
synonyms.append(l.name())
print('synsets: ' + str(set(synonyms)))
while (1):
print ('listening for keyword')
listening.recognition(recognize, 'search', False)