g4f-xn 0.0.6

library for easy access to GPT models based on g4f

g4f_xn

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A library that allows you to use different GPT models!

Also has some other stuff like:

• reading and writing to files
• sound playback(i mean why not)
• other functions for convenience

The project is not ready for public use, but more for a fun and convinient (in my opinion) use of gpt models

code example:

import g4f_xn as xn

# specify model
xn.settings('gpt-3.5-turbo')

prompt = '''
type numbers from 1 to 10
'''

result = xn.gpt(prompt)
print(result)

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also you can provide an array to xn.gpt that will represent history of previous prompts and answers. It will use it as context and append prompt with response.

advanced example:

import g4f_xn as xn

# specify model and provider
xn.settings('gpt-4', 'Bing')

p1 = '''
type numbers from 1 to 10
'''
p2 = '''
multiply each number by 2
'''

chat = []

r1 = xn.gpt(p1, chat)
r2 = xn.gpt(p2, chat)
print(r1)  # 1, 2, 3, ...
print(r2)  # 2, 4, 6, ...

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gpt -> chat gpt

You can also save chat variable to txt file using xn.write, xn.read
it will be basically chatgpt now

example with local chat history:

import g4f_xn as xn

xn.settings('gpt-3.5-turbo')

history = xn.read(r'path/to/file.txt')
chat = [history]
prompt = '''
type numbers from 1 to 10
'''

result = xn.gpt(prompt, chat)
print(result)

xn.write(''.join(chat), r'path/to/file.txt')

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It is highly recommended to use .ipynb files with this library as it is really flexible for that task