This is a Kakaotalk OBT Chatbot Skill Server powered by KoboldAI Client.
This repository contains a Flask-based chatbot API powered by KoboldAI. The API allows users to interact with a chatbot, and it also provides an endpoint for retrieving daily food details.
The meal information is based on Yongin Foreign Language High School, so the function should be modified according to the meal of the relevant school in South Korea. If KoboidAI does not have a separate GPU server, it is recommended to use Colab Pro +.
Refer to the link: https://github.com/KoboldAI/KoboldAI-Client
The main Python script app.py runs the Flask server and handles the API routes. The Characters directory contains JSON files for different characters the chatbot can adopt.
Follow these steps to install and run the project.
First, clone the repository to your local machine using git:
git clone https://github.com//
Navigate to the project directory:
Use pip to install the dependencies from requirements.txt:
pip install -r requirements.txt
Now you're ready to start the server:
python app.py
The server should now be running at http://0.0.0.0:80.
This server provides two main API endpoints:
This POST endpoint allows users to interact with the chatbot. The request body should be a JSON object containing a userRequest object, which contains utterance (the message from the user) and user (details about the user).
The response from this endpoint will be the chatbot's response to the user's message.
You first need to setup Kakao OBT, and add Skill Server.(How to: https://i.kakao.com/)
This POST endpoint provides daily food details. The request body should be a JSON object containing a userRequest object, which contains utterance (the message from the user).
The response from this endpoint will be the daily food menu.
You must change the school code variable, your_sch_code.(How to find Korean School Code: http://jubsoo2.bscu.ac.kr/src_gogocode/src_gogocode.asp)
We welcome contributions to this project, whether they are bug reports, improvement suggestions, or pull requests. Please use the GitHub issue tracker for this.