easybot-py 0.0.6

A library to help and facilitate the creation of bots and AI assistants

EasyBot Library

EasyBot is a Python library designed to facilitate the creation of AI-powered bots using OpenAI's API. This library provides a simple interface to integrate various functionalities and create a customizable assistant.

Features

• Easy integration with OpenAI's API.
• Customizable bot functions.
• Simple setup and usage.

Installation

To install the EasyBot library, you can use pip:

pip install easybot-py

Usage

Usage Here is an example of how to use the EasyBot library:

import os
from easy_bot import EasyBot

def sum(a: int, b: int, positive: bool = False):
    """
    Made an operation and returns the result
    @a : int First operand
    @b : int Second operand
    """
    return a + b

def main():
    INSTRUCTION = "You're a Math tutor, you should use the functions"
    token = os.getenv('OPENAI_API_KEY')
    if token is None:
        raise ValueError('Token key is not set in env variables')

    client = EasyBot(token, INSTRUCTION)
    client.add_function(sum)
    client.create_assistant()

    response = client.create_text_completion('What is 24556 + 554322 + 2')
    print(response)

if __name__ == "__main__":
    main()

Here you're using the default model of EasyBot, it's using the OpenAI endpoint to generate the response. It's using by default the gpt-4o-mini model. You can change the model by passing the model name in the create_assistant method.

import os
from easy_bot import EasyBot, OpenAICore

# Your functions here
# ...

def main():
    INSTRUCTION = "You're a Math tutor, you should use the functions"
    token = os.getenv('OPENAI_API_KEY')
    if token is None:
        raise ValueError('Token key is not set in env variables')

    client = EasyBot(token, INSTRUCTION)
    client.add_function(sum)
    client.create_assistant(OpenAICore, model='gpt-4o')

    response = client.create_text_completion('What is 24556 + 554322 + 2')
    print(response)

if __name__ == "__main__":
    main()

You can pass an image to the bot, and it will generate a response based on the image. You can use the create_image_completion method to generate a response based on the image. You could use either a local image (encoded) or a URL to the image.

# URL
response = client.create_image_completion('url_to_image')

# Local image
with open('image.jpg', 'rb') as f:
    image = f.read()

response = client.create_image_completion(image)

Documentation

Using NIM endpoints (Beta)

To use the NIM endpoints, you need to pass the Nim class in the create_assistant method. For use NIM endpoints, you need to have a NIM API key. You can get it by signing up on the NIM website, NVIDIA NIM. By default we're using mistral-large-2-instruct model, but you can change it by passing the model name in the create_assistant method. For example, you can use the meta/llama-3.1-70b-instruct model.

It also support function calling, you can use the functions in the same way as the OpenAI endpoints.

import os
from easy_bot import EasyBot, Nim

def main():
    INSTRUCTION = "You're a Math tutor, you should use the functions"
    token = os.getenv('NIM_API_KEY')
    if token is None:
        raise ValueError('Token key is not set in env variables')

    client = EasyBot(token, INSTRUCTION)
    client.add_function(sum)
    client.create_assistant(Nim, model='meta/llama-3.1-70b-instruct')

    response = client.create_text_completion('What is 24556 + 554322 + 2')
    print(response)

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any changes.