Spaces:
Running
Running
Download src/adapters/interfaces/llm.py from Leon4gr45/brain: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/spaces/Leon4gr45/brain/resolve/main/src/adapters/interfaces/llm.py
- Command line
-
hf download hf://spaces/Leon4gr45/brain/src/adapters/interfaces/llm.py
-
curl -L -o llm.py https://huggingface.co/spaces/Leon4gr45/brain/resolve/main/src/adapters/interfaces/llm.py
1.09 kB
| """ | |
| File: /llm.py | |
| Created Date: Sunday October 19th 2025 | |
| Author: Christian Nonis <alch.infoemail@gmail.com> | |
| ----- | |
| Last Modified: Sunday October 19th 2025 10:23:54 am | |
| Modified By: the developer formerly known as Christian Nonis at <alch.infoemail@gmail.com> | |
| ----- | |
| """ | |
| from abc import ABC, abstractmethod | |
| from typing import Any | |
| from langchain.chat_models.base import BaseChatModel | |
| class LLM(ABC): | |
| """ | |
| Abstract base class for LLM clients. | |
| """ | |
| langchain_model: BaseChatModel | |
| client: Any | |
| def generate_text(self, prompt: str, max_new_tokens: int = None) -> str: | |
| """ | |
| Generate a text response from the model and return it as a string. | |
| """ | |
| raise NotImplementedError("generate_text method not implemented") | |
| def generate_json( | |
| self, prompt: str, max_new_tokens: int = None, max_retries: int = 3 | |
| ) -> dict: | |
| """ | |
| Generate a JSON response from the model and return it as a dictionary. | |
| """ | |
| raise NotImplementedError("generate_json method not implemented") | |