OpenAI Benchmark Framework

這個專案是一個 OpenAI fine-tuning 的自動基準平台 (OpenAI benchmark framework)，由自然語言的input，透過訓練過的客製化的AI模型，計算出Benchmark而呈現。

OpenAI API Quickstart - Python example app

This is an example pet name generator app used in the OpenAI API quickstart tutorial. It uses the Flask web framework. Check out the tutorial or follow the instructions below to get set up.

Setup

1. If you don’t have Python installed, install it from here.

2. Clone this repository.

3. Navigate into the project directory:

   $ cd openai-quickstart-python

4. Create a new virtual environment:

   $ python -m venv venv
   $ . venv/bin/activate

5. Install the requirements:

   $ pip install -r requirements.txt

6. Make a copy of the example environment variables file:

   $ cp .env.example .env

7. Add your API key to the newly created .env file.

8. Run the app:

   $ flask run

You should now be able to access the app at http://localhost:5000! For the full context behind this example app, check out the tutorial.

Reference

本平台的食品安全示範資料集整理自中文開源數據平台千言-袁杰等人的「食品安全主題數據集」，僅將其數據內容用於研究和學習目的。

The Mandarin food safety demonstration dataset on this platform has been compiled from the 'Food Safety Themed Dataset' by Yuan Jie, et al. on Qianyan . We are using the data content solely for research and educational purposes.