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Simple (kinda) research project, measuring the effectivness of common ai uses for education, and trying to use those tools to inform rather than learn

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Warning & To Do's

Proyecto en desarrollo;

  • Comenzar a trabajar la interfaz de cliente para el chatbot
  • Migracion a Gemini (Whisper y cambiar los modelos locales y de Llama por Gemini)
  • Testear y arreglar cliente para la actividad de quiz y de chatbot (En Quiz basicamente no funciona)
  • Guardar la metadata (Cliente)

Next.js Flask Starter

Simple Next.js boilerplate that uses Flask as the API backend.


Introduction

This is a hybrid Next.js + Python app that uses Next.js as the frontend and Flask as the API backend. One great use case of this is to write Next.js apps that use Python AI libraries on the backend.

How It Works

The Python/Flask server is mapped into to Next.js app under /api/.

This is implemented using next.config.js rewrites to map any request to /api/:path* to the Flask API, which is hosted in the /api folder.

On localhost, the rewrite will be made to the 127.0.0.1:5328 port, which is where the Flask server is running.

In production, the Flask server is hosted as Python serverless functions on Vercel.

Demo

https://nextjs-flask-starter.vercel.app/

Deploy Your Own

You can clone & deploy it to Vercel with one click:

Deploy with Vercel

Developing Locally

You can clone & create this repo with the following command

npx create-next-app nextjs-flask --example "https://github.com/vercel/examples/tree/main/python/nextjs-flask"

Getting Started

First, install the dependencies:

npm install
# or
yarn
# or
pnpm install

Then, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev

Open http://localhost:3000 with your browser to see the result.

The Flask server will be running on http://127.0.0.1:5328 – feel free to change the port in package.json (you'll also need to update it in next.config.js).

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

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Simple (kinda) research project, measuring the effectivness of common ai uses for education, and trying to use those tools to inform rather than learn

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