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▶️Gremllm - Now your bugs have consciousness 

Gremllm is an unusual Python class in which all methods and properties are created dynamically using LLM. You describe, *what kind of object do you want *, and then Gremllm decides what should happen when the methods are called or the fields are addressed.

🎁 Installation
pip install gremllm


🔧 Example:

from gremllm import Gremllm

counter = Gremllm('counter')
counter.value = 5
counter.increment()
print(counter.value) # → 6?
print(counter.to_roman_numerals()) # → VI?

🔸
✔️ Opportunities:
- dynamic behavior: everything is determined "on the fly" using LLM
- Support Openai, Claude, Gemini, and local models
- Wet Mode: You can build challenges of calls (methods return objects)
- Verbose Mode: Bodes which code was generated
- smart processing of errors and setting through inheritance

🖥 Github: https://github.com/ur-whitelab/gremllm

🔸

#پایتون #Python

📱 @Python4all_pro
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▶️Gremllm - Now your bugs have consciousness 

Gremllm is an unusual Python class in which all methods and properties are created dynamically using LLM. You describe, *what kind of object do you want *, and then Gremllm decides what should happen when the methods are called or the fields are addressed.

🎁 Installation

pip install gremllm


🔧 Example:

from gremllm import Gremllm

counter = Gremllm('counter')
counter.value = 5
counter.increment()
print(counter.value) # → 6?
print(counter.to_roman_numerals()) # → VI?

🔸
✔️ Opportunities:
- dynamic behavior: everything is determined "on the fly" using LLM
- Support Openai, Claude, Gemini, and local models
- Wet Mode: You can build challenges of calls (methods return objects)
- Verbose Mode: Bodes which code was generated
- smart processing of errors and setting through inheritance

🖥 Github: https://github.com/ur-whitelab/gremllm

🔸

#پایتون #Python

📱 @Python4all_pro

BY پایتون ( Machine Learning | Data Science )




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