def notes_command(mode, space=""):
cm = Communication()
def end():
cm.voice(finish)
while(True):
#Beep sound to notify the user when to speak
playsound.playsound('Sound.mp3')
command = cm.recognize_speech_from_mic()
if command["transcription"]:
break
if not command["success"]:
break
cm.voice("I didn't catch that. What did you say?\n")
if "yes" in command["transcription"]:
cm.voice("Very well! Appending punctuation!")
punctuation()
elif "no" in command["transcription"]:
notes_command('a', "\n")
else:
cm.voice("Sorry, that's not a command.")
end()
def punctuation():
readfile = open('note.txt', 'r')
writefile = open('note.txt', 'a')
for line in readfile:
if line.find("period") != -1:
writefile.replace("period", ". ")
if line.find("comma") != -1:
writefile.replace("comma", ", ")
if line.find("exclamation mark") != -1:
writefile.replace("exclamation mark", "! ")
if line.find("question mark") != -1:
writefile.replace("question mark", "? ")
if line.find("newline") != -1:
writefile.replace("newline", "\n")
"""#rtn = re.split('([.!?] *)', line)
rtn = ([line[i:i+1] for i in range(0, len(line), len(line))])
#final = ''.join([i.capitalize() for i in rtn])
writefile.replace(rtn, rtn.capitalize())"""
notes = open('note.txt', mode)
start = "Ready when you are!"
finish = "Will that be all?"
cm.voice(start)
while(True):
#Beep sound to notify the user when to speak
playsound.playsound('Sound.mp3')
command = cm.recognize_speech_from_mic()
if command["transcription"]:
break
if not command["success"]:
break
cm.voice("I didn't catch that. What did you say?\n")
notes.write(space + "{}".format(command["transcription"].capitalize()))
notes.close()
end()
def listen():
cm = Communication()
WORDS = ["Open", "System", "Notes", "Manual", "Weather", "Joke"]
misunderstand = "I didn't catch that. What did you say?"
sorry = "Sorry, I can't do that."
command_is_correct = False
def model(text):
cm = Communication()
# This function will pass your text to the machine learning model
# and return the top result with the highest confidence
def classify(text):
key = "653eced0-1840-11ea-97a0-956abe0146c6b32257f5-24cc-4bfa-b944-21223a9adadc"
url = "https://machinelearningforkids.co.uk/api/scratch/" + key + "/classify"
response = requests.get(url, params={"data": text})
if response.ok:
responseData = response.json()
topMatch = responseData[0]
return topMatch
else:
response.raise_for_status()
# CHANGE THIS to something you want your machine learning model to classify
demo = classify(text)
label = demo["class_name"]
return label
while (True):
#Beep sound to notify the user when to speak
pygame.mixer.music.load('Sound.mp3')
pygame.mixer.music.set_volume(0.3)
pygame.mixer.music.play()
time.sleep(1)
pygame.mixer.music.stop()
command = cm.recognize_speech_from_mic()
error = "ERROR: {}".format(command["error"])
speech = "You said: {}".format(command["transcription"])
if command["transcription"]:
break
if not command["success"]:
break
cm.voice(misunderstand)
# if there was an error, stop the game
if command["error"]:
cm.voice(error)
# show the user the transcription
#cm.voice(speech)
if WORDS[0] in command["transcription"]:
open_command(command["transcription"])
elif WORDS[1] in command["transcription"]:
system_command(command["transcription"])
elif WORDS[3] in command["transcription"]:
notes_command('w')
elif WORDS[4] in command["transcription"]:
weather_command()
elif WORDS[5] in command["transcription"]:
jokes_command()
else:
cm.voice(sorry)
listen()
