Download src/dev_pilot/LLMS/openai_llm.py from msaifee/DevPilot: direct link, hf CLI and curl.
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https://huggingface.co/spaces/msaifee/DevPilot/resolve/main/src/dev_pilot/LLMS/openai_llm.py
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hf download hf://spaces/msaifee/DevPilot/src/dev_pilot/LLMS/openai_llm.py
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curl -L -o openai_llm.py https://huggingface.co/spaces/msaifee/DevPilot/resolve/main/src/dev_pilot/LLMS/openai_llm.py
857 Bytes
| import os | |
| import streamlit as st | |
| from langchain_openai import ChatOpenAI | |
| class OpenAILLM: | |
| def __init__(self, user_controls_input=None, model=None, api_key=None): | |
| self.user_controls_input = user_controls_input | |
| self.model = model | |
| self.api_key = api_key | |
| def get_llm_model(self): | |
| try: | |
| if self.user_controls_input: | |
| openai_api_key = self.user_controls_input['OPENAI_API_KEY'] | |
| selected_openai_model = self.user_controls_input['selected_openai_model'] | |
| llm = ChatOpenAI(api_key=openai_api_key, model= selected_openai_model) | |
| else: | |
| llm = ChatOpenAI(api_key=openai_api_key, model= self.model) | |
| except Exception as e: | |
| raise ValueError(f"Error occured with Exception : {e}") | |
| return llm |