wongli233 / TravelGPT

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Explore Ease Readme ๐ŸŒ

What is Explore Ease?

Explore Ease is a state-of-the-art tool designed to create crafted travel plans for each individual. It uses advanced LLM and AI algorithms to understand the user needs and instantly generated a detailed and logical travel plan. It can be changed in real time according to the user's detailed description, and the travel plan can be refined and customized to meet the unique needs of the user. ๐Ÿ”๏ธ

Making planning travels has neven so easy before with Explore Ease. The website changes the generated travel plan based on user input. The plan can include all aspects of food, accommodation and transportation. So what are you waiting for? Go checkout out now! ๐Ÿ”ฅ

Table of Contents

Installation

Requirements

  • Linux/MacOS/Windows
  • Python 3.80+
  • openai

a. Clone the project.

git clone https://github.com/bytewiz3/TravelGPT

cd TravelGPT

b. Create a conda virtual environment and activate it.

conda create -n travel python=3.8 -y

conda activate travel

c. Install dependencies.

pip3 install -r requirements.txt

Usage

You should obtain an APl key from OpenAl. Once you have the key, set it as an environment variable named OPENAI API KEY.

Set OpenAI API Key: Replace $YOUR_OPENAI_API_KEY with your actual OpenAI API key.

On macOS or Linux systems,

export OPENAI_API_KEY=$YOUR_OPENAI_API_KEY

On Windows systems,

setx OPENAI_API_KEY $YOUR_OPENAI_API_KEY

For example:

export OPENAI_API_KEY='sk...DAHY'

You can then run the code using the following command:

cd src/

python test.py

Create an account on the website, then you're good to go! Please feel free to ask our invincible travel agent anything!

Contributing

This project is open to contributions and ideas. To contribute, you'll need to accept a Contributor License Agreement (CLA), which confirms your authority to offer your contribution and grants us the permission to utilize it.

Upon initiating a pull request, an automated CLA system will assess if your contribution requires a CLA and update the pull request with the necessary information (such as a status check or a comment). Just follow the steps outlined by the automated system. This process is a one-time requirement for all contributions across repositories that employ our CLA.

Contributors

Thanks to all the people who contributed to this innovative project. Contributor List

Contact Us

Twitter Github Weibo Xiaohongshu

License

MIT

About

License:MIT License


Languages

Language:Python 98.0%Language:JavaScript 1.6%Language:CSS 0.3%