Inspiration from Amazon Alexa's conversational AI These initial developments are out of personal interests. I do plan to eventually add more functionality
These instructions will give you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on deploying the project on a live system.
Requirements for the software and other tools to build, test and push
__init__(self) -> None: The constructor method that initializes the listener, engine, and voices properties when an instance of the class is created.
talk(self,text): This method takes a single argument, a text string, and uses the pyttsx3 library to speak the text.
take_command(self): This method listens to the microphone and uses the Google Speech Recognition service to recognize the audio. If the audio is not understood, it returns an empty string.
send_whatsapp_message(self, name:str): This method takes a single argument, a name, and uses the pywhatkit library to send a WhatsApp message to the number associated with the given name.
send_whatsapp_image(phone_number, image): This method takes two arguments, phone number and image and uses the pywhatkit library to send a WhatsApp image to the given phone number.
play_media(self, media): This method takes a single argument, media and uses the pywhatkit library to play the media on youtube.
current_time(self): This method tells the current time using datetime library.
send_message(phone_number): This method takes phone number as an argument and uses os and pynput library to open message application and send message to the given phone number.
A step by step series of examples that tell you how to get a development environment running
Say what the step will be
Give the example
And repeat
until finished
End with an example of getting some data out of the system or using it for a little demo
TODO
TODO
Give an example
TODO
TODO
- Programming Hero
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