Powered by Large Language Models, PoetryChat ...
You can easily and directly experience the our demo online on HuggingFace now. Click here for Online Experience 👉 PoetryChat - a Hugging Face Space by jjyaoao
- Complete the Gradio Interface and UI design
- Add team members brief introduction
- Add a gif demonstration
- Deploy the demo on HuggingFace
- RAG layer
- LLM Agent layer
- Application layer
First of all, please make sure that you have already installed conda as Python runtime environment. And miniconda is strongly recommended.
1. create a virtual conda environment for the demo 😆
$ conda create -n poetrychat python==3.10 # poetrychat is the name of your environment
$ conda activate poetrychat 2. Install essential requirements by run the following command in the CLI 😊
$ git clone https://github.com/Antony-Zhang/PoetryChat && cd PoetryChat && git checkout poetryChat2.0
$ pip install -r requirements.txt 1. open .env.example and fill your own API Keys in the corresponding place if you want to use certain LLM, then rename the file into .env
OPENAI_API_KEY = ""
OPENAI_URL_BASE = ""
2. xxx
- Gradio Official Documents
- LIC·2024 语言与智能技术竞赛_飞桨大赛-飞桨AI Studio星河社区
- PoetryChat: 一个面向不同年龄段的交互式LLM古诗学习助手
I would like to express my sincere gratitude to my teammates for their efforts and supports throughout the development of this project. Their expertise and insightful feedback played a crucial role in shaping the direction of the project.
Feel free to open GitHub issues or directly send me a mail if you have any questions about this project.