def quit():
speaker.say('Bye')
speaker.runAndWait()
sys.exit(0)
mappings = {
"greeting": hello,
"create_note": create_note,
"add_todo": add_todo,
"show_todos": show_todo,
"exit": quit
}
assistant = GenericAssistant('intents.json', intent_methods=mappings)
assistant.train_model()
#assistant.request('How are you')
while True:
try:
with speech_recognition.Microphone() as mic:
recognizer.adjust_for_ambient_noise(mic, duration=0.2)
audio = recognizer.listen(mic)
message = recognizer.recognize_google(audio)
message = message.lower()
assistant.request(message)
except speech_recognition.UnknownValueError:
recognizer = speech_recognition.Recognizer()
def todo_remove():
idx = int(input("Which Todo To remove (number) : ")) - 1
if idx < len(todos):
print(f"removig {todos[idx]}")
todos.remove(idx)
else:
print("There Is no todo list")
def bye():
print("Bye")
sys.exit()
mapping = {
'stocks': stock_function,
'todoshow': todo_show,
'todoadd': todo_add,
'todoremove': todo_remove,
'goodbye': bye,
}
assistent = GenericAssistant("shorts_intens.json", mapping)
# assistent.train_model()
assistent.load_model()
# assistent.save_modelhi()
while True:
message = input("message :")
assistent.request(message)
from neuralintents import GenericAssistant
from fx import mappings
import speech
from tkinter import *
from PIL import ImageTk, Image
import threading, sys
assistant = GenericAssistant('intents.json',
model_name="model",
intent_methods=mappings)
# assistant.train_model()
# assistant.save_model()
assistant.load_model()
def mainLoop(app):
while True:
speech.waitForWakeupCall("kiwi")
working = True
counter = 0
while working:
counter += 1
message = speech.takeCommand()
if counter > 5:
message = "enough work for today"
working = assistant.request(message)
break
import pandas as pd
import pandas_datareader as web
import mplfinance as mpf
import pickle
import sys
import datetime as dt
def myfunction():
pass
mappings = {'greetings': myfunction}
assistant = GenericAssistant('intents.json', intent_methods=mappings)
assistant.train_model()
assistant.request("Hello")
portfolio = {'AAPL': 20, 'TSLA': 5, "GS": 10}
with open('portfolio.pkl', 'wb') as f:
pickle.dumb(portfolio, f)
print(portfolio)
def save_portfolio():
with open('portfolio.pkl', 'wb') as f: