def end_program(test_frame):
global file, stop_listening, label_t
if file is not None:
file.close()
if label_t is not None:
label_t.grid_forget()
s.exit_test(test_frame, stop_listening)
def end_program(test_frame):
global file, stop_listening, label_t
if file is not None:
file.close()
if label_t is not None:
label_t.destroy()
s.exit_test(test_frame, callback_fun=stop_listening)
def setup():
try:
Button(master=db.calibration_setup,
text="X",
command=lambda: s.exit_test(db.calibration_setup, None),
bg='#a60000',
fg='white',
activebackground='#d60000',
activeforeground='white',
font=db.SmallFont).grid(row=0, column=4, sticky=N)
types = ('NUMBERS', 'COLORS', 'SKIP')
db.calib_checks = {}
for index, name in enumerate(types):
# print(name, index)
db.calib_checks[name] = IntVar()
Checkbutton(master=db.calibration_setup,
text=types[index],
variable=db.calib_checks[name],
font=db.DefaultFont).grid(row=1,
column=index,
sticky=W)
db.set_lang = StringVar()
db.set_lang.set('English(US) - default')
lang_options = list(db.languages.keys())
lang = ttk.Combobox(master=db.calibration_setup,
textvariable=db.set_lang,
values=lang_options,
font=db.DefaultFont)
lang.grid(row=2, columnspan=3, ipadx=200, pady=50)
# Add some spacing below the exit button
db.calibration_setup.grid_rowconfigure(3, weight=1, minsize=150)
# Step 3: Add a 'Start' Button
Button(
master=db.calibration_setup,
text="Start Test",
command=start,
activebackground="blue",
activeforeground="white",
bg="white",
fg="black",
font=db.DefaultFont,
).grid(row=4, columnspan=3, ipadx=200, pady=20)
except Exception as e:
s.error_handler(db.calibration_setup, e, 5)
db.calibration_setup.pack()
def submit(recognizer, audio):
global heard, stop_listening
try:
try:
heard.grid_forget()
except:
pass
status.config(text=f"Thinking...")
submitted = recognizer.recognize_google(audio,
language=f'{db.set_lang}')
if heard == None:
heard = Label(db.calibration_frame,
text=f"Recorded",
font=db.DefaultFont)
else:
heard.config(text=f"Recorded")
heard.grid(row=3, column=0)
db.pronounce[prompt.cget('text')] = submitted
print(f"{prompt.cget('text')} : {submitted}")
if prompt.cget("text") == "skip":
db.skip_keyword = submitted
print(f"skip_keyword: {db.skip_keyword}")
if not len(vals_to_record) == 0:
question()
else:
s.exit_test(db.calibration_frame, stop_listening)
# question()
except Exception as e:
s.error_handler(db.calibration_frame, e, 3)
def start():
global stop_listening, status, vals_to_record
# Step 1: Get the types of inputs to calibrate
if db.calib_checks['NUMBERS'].get() == 1:
vals_to_record += [i for i in range(10)]
if db.calib_checks['COLORS'].get() == 1:
vals_to_record += ['orange', 'yellow', 'blue', 'green']
if db.calib_checks['SKIP'].get() == 1:
vals_to_record.append('skip')
# Step 2: Get the language
print(f"Selected Language: {db.set_lang.get()}")
print(f"Values: {vals_to_record}")
#Step 3: Forget the setup frame
db.calibration_setup.forget()
#step 4: Start the calibration
Button(master=db.calibration_frame,
text="X",
command=lambda: s.exit_test(db.calibration_frame, stop_listening),
bg='#a60000',
fg='white',
activebackground='#d60000',
activeforeground='white',
font=db.SmallFont).grid(row=0, column=1, sticky=N)
Label(db.calibration_frame,
text='Pronounce the following as clearly as possible:',
font=db.HeadingFont).grid(row=1)
with db.microphone as source:
db.recognizer.adjust_for_ambient_noise(source)
stop_listening = db.recognizer.listen_in_background(source, submit)
question()
if status is None:
status = Label(db.calibration_frame,
text="Listening...",
font=db.DefaultFont)
else:
status.config(text="Listening")
status.grid(row=3, column=0)
db.calibration_frame.pack()
def end_program(test_frame):
global file
if file is not None:
file.close()
label_t.destroy()
s.exit_test(test_frame)