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PoC - AI Travel Planner

This project was created as a different approach to using LLMs to generate content.

Instead of using a chat interface, this project brings a simple feature of planning a trip to a given location, for a given amount of days, reducing the typing needed and allowing the user to interact with the LLM in a simpler way.

The project is build over React and directly calls the LLM, exposing the call and the key used to integrate the AI engine. Thus, it's not safe for a production environment and is intended only as a Proof of Concept regarding the interaction methods.

Environment Variables

To be able to run this project, it's needed to copy the .env-example file as .env, in the project's root directory, and set the values for each environment variable declared on it.

Available Scripts

In the project directory, you can run:

npm start

Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.

The page will reload when you make changes.
You may also see any lint errors in the console.

npm test

Launches the test runner in the interactive watch mode.
See the section about running tests for more information.

npm run build

Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.

The build is minified and the filenames include the hashes.
Your app is ready to be deployed!

See the section about deployment for more information.

npm run eject

Note: this is a one-way operation. Once you eject, you can't go back!

If you aren't satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.

Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.

You don't have to ever use eject. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.

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