def fr():
with open('images.json', 'r') as f:
images = json.load(f)
#print(images)
#print('1')
cam = cv2.VideoCapture(0)
time.sleep(0.1)
s, img = cam.read()
imwrite("pic.jpg", img)
cam.release()
name = 'unknown'
for i in images:
#print('images/{}'.format(images[i]))
known_image = face_recognition.load_image_file('images/{}'.format(
images[i]))
unknown_image = face_recognition.load_image_file("pic.jpg")
known_encoding = face_recognition.face_encodings(known_image)[0]
try:
unknown_encoding = face_recognition.face_encodings(
unknown_image)[0]
results = face_recognition.compare_faces([known_encoding],
unknown_encoding)
except:
print('Goffredo: "Face not found')
return
if results[0] == True:
name = i
#os.remove("pic.jpg")
if name == 'unknown':
say('Hello, what is your name?', 'en')
fname = inp(4, 'name')
text = recognise(fname).lower()
try:
li = text.split(' ')
li.remove('my')
li.remove('name')
li.remove('is')
name = li[0]
except:
name = text
os.rename('pic.jpg', 'images/{}.jpg'.format(name))
images[name] = '{}.jpg'.format(name)
#print(name)
#print(images)
with open("images.json", 'w') as f:
json.dump(images, f)
say("Hello, {}!".format(name), 'en')
return
def serie_a(text):
bs = bs4.BeautifulSoup(
requests.get('https://www.skysports.com/serie-a-table').content,
'lxml')
tables = bs.find_all('table')
df = pd.read_html(str(tables[0]))[0]
df = df.set_index('Team').rename(columns={'#': 'Pos'}).drop('Last 6', 1)
pos = int(df.loc['AC Milan'].Pos)
pts = int(df.loc['AC Milan'].Pts)
say(
f'AC Milan are currently in position {pos} in the Serie A, with {pts} points.',
'en')
say('Would you like to see the whole Serie A table?', 'en')
fname = inp(3, 'ques')
ans = recognise(fname)
if 'yes' in ans:
print(f'##\n{df}\n##')
return
if 'no' in ans:
return
def info(x):
y = x["main"]
temperature = round(y["temp"] - 273.15, 2)
pressure = y['pressure']
humidity = y["humidity"]
feels_like = round(y["feels_like"] - 273.15, 2)
temp_max = round(y['temp_max'] - 273.15, 2)
temp_min = round(y['temp_min'] - 273.15, 2)
wind_speed = round(x["wind"]['speed'] * 1.94, 2)
if x["wind"]['deg'] in range(23, 68):
wind_dir = 'North East'
elif x["wind"]['deg'] in range(68, 113):
wind_dir = 'East'
elif x["wind"]['deg'] in range(113, 158):
wind_dir = 'South East'
elif x["wind"]['deg'] in range(158, 203):
wind_dir = 'East'
elif x["wind"]['deg'] in range(203, 248):
wind_dir = 'South West'
elif x["wind"]['deg'] in range(248, 293):
wind_dir = 'West'
elif x["wind"]['deg'] in range(293, 338):
wind_dir = 'North West'
else:
wind_dir = 'North'
desc = x["weather"][0]["description"]
loc = x["name"]
print('##\nWeather in {}: {}\n##'.format(loc, desc))
say('[The current weather in {} is: {}'.format(loc, desc), 'en')
say('Would you like more info?', 'en')
fname = inp(3, 'ques')
text = recognise(fname)
if 'yes' in text:
print(
'## \nTemperature: {} (degrees celcius) \n-feels like: {} \n-max: {} \n-min: {} '
.format(temperature, feels_like, temp_max, temp_min))
print(
'Humidity: {}% \nAtmospheric pressure (in hPa unit): {} \nWind speed (knots): {} \nWind direction (deg): {} ({}erly)\n##'
.format(humidity, pressure, wind_speed, x["wind"]['deg'],
wind_dir))
say(
'''[The temperature is {} degrees with a maximum of {} and a minimum of {}.
The humidity is {} percent and the wind is {} knots from the {}
'''.format(temperature, temp_max, temp_min, humidity, wind_speed, wind_dir),
'en')
return
if 'no' in text:
return
def translate(text):
li = text.lower().split(' ')
#tml(li)
try:
pos1 = li.index('translate')
except:
pos1 = li.index('say')
text = ' '.join(li[pos1 + 1:-2])
lang = li[-1]
if lang == 'chinese':
lang = 'chinese (simplified)'
code = gt.LANGCODES[lang]
translator = Translator()
final = translator.translate(text, scr='en', dest=code)
say('{} in {} is:'.format(text, lang), 'en')
try:
say(final.text, final.dest)
except:
say(final.text, 'en')
return
def chat(text):
re = str(bot.get_response(text))
say(re,'en')
return