def crawl_songsear(self, text, audio):
# Find song title and artist by the lyrics or title
song_url = 'https://songsear.ch/q/' + text
page = requests.get(song_url)
soup = BeautifulSoup(page.content, 'html.parser')
song_by_name = soup.find(class_='by-name')
if song_by_name:
engine_say("songs with the title " + text)
for name in song_by_name.find_all('a'):
engine_say(name.text)
print(name.text)
other_songs = soup.find(class_='results')
if other_songs:
engine_say("Top 10 songs with the lyrics " + text)
x = 0
for song in other_songs.find_all(class_='head'):
x += 1
if x > 10:
break
h2 = song.find('h2')
engine_say(h2.text)
h3 = song.find('h3')
engine_say(h3.text)
print(h2.text, " - ", h3.text)
return True
return False
def run(self, text, audio):
if self.shazam_it(audio):
return
if self.crawl_songsear(text):
return
engine_say("I could not find the song title.")
def run(self, text, audio):
spelled = []
words = text.split(" ")
for w in words:
if w == '' or w in spelled:
continue
engine_say(w)
for l in w:
engine_say(l)
spelled.append(w)
def other_answer(self, results):
# Provide other answers
for res in r_json['results']:
if res['description'] != '':
arr = res['title'].split(' - ')
print(arr)
engine_say(arr[0])
arr2 = res['description'].split('.')
print(arr2)
engine_say(arr2[0])
def run(self, text, audio):
d = "The date is " + date.today().strftime("%A %B %d, %Y")
# Get year in the form of two numbers so voice assistant can say it the two numbers that make up the year
lst = d.split()
year1 = lst[-1][0:2]
year2 = lst[-1][2:]
lst.pop()
lst.append(year1)
lst.append(year2)
d = " ".join(lst)
engine_say(d)
engine_say("The time is " + datetime.now().strftime("%I %M %p"))
def say_parsed_info(self, info):
# Say useful information
for i in info:
if i and isinstance(i, list):
for ii in i:
print(ii.text)
engine_say(ii.text)
return True
if i:
print(i.text)
engine_say(i.text)
return True
return False
def run(self, text, audio):
# Get google results
r_json = self.crawl_google(text)
useful_info = self.parse_google(r_json)
# Check if answer was provided
if self.say_parsed_info(useful_info):
return
# Check for results section of response
if not r_json['results']:
engine_say("Sorry Google does not know the answer")
return
# Check if wikipedia answer was provided
if self.say_wikipedia(r_json['results']):
return
# Provide another answer
self.other_answer(r_json['results'])
def shazam_it(self, text, audio):
# Find song matches through shazam
url = "https://shazam.p.rapidapi.com/songs/detect"
raw_data = audio.get_wav_data()
byteslist = bytearray(raw_data)
data = base64.b64encode(byteslist)
payload = data
headers = {
'content-type': "text/plain",
'x-rapidapi-key': os.getenv("API_KEY"),
'x-rapidapi-host': "shazam.p.rapidapi.com"
}
response = requests.request("POST", url, data=payload, headers=headers)
if response.status_code != 200:
return False
r = response.json()
if not r["matches"]:
engine_say(
"Shazam found no matches for the tune. I will try searching for lyrics."
)
return False
engine_say(r["track"]["title"])
engine_say(r["track"]["subtitle"])
print(r["track"]["title"], ' - ', r["track"]["subtitle"])
return True
def say_wikipedia(self, results):
# Say the wikipedia result first
answer_provided = False
for res in results:
if 'wikipedia' in res['title'].lower():
engine_say("From wikipedia")
arr = res['title'].split(' - ')
print(arr[0])
engine_say(arr[0])
arr2 = res['description'].split('.')
print(arr2[0])
engine_say(arr2[0])
answer_provided = True
return answer_provided
import speech_recognition as sr
from util import fix_transcription, identify_task
from talking_engine import engine_say
# Introduce kevin
engine_say("Hello, I am KEVIN. How can I help you?")
# obtain audio from the microphone
s = sr.Recognizer()
with sr.Microphone() as source:
audio = s.listen(source, timeout=5)
# recognize speech using Google Speech Recognition
try:
# to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
transcribed = fix_transcription(s.recognize_google(audio))
task_words = transcribed.split(" ")
task = identify_task(task_words[0])
main_text = " ".join(task_words[1:])
try:
task.run(main_text, audio)
except Exception as e:
print(e)
engine_say("Sorry I am not programmed to do that yet.")
except sr.UnknownValueError:
engine_say("Google Speech Recognition could not understand audio")
except sr.RequestError as e:
engine_say(