======================= Core Craft REST API

:Info: See Core Craft site <https://github.com/Core-Craft/backend/>_ for the latest source. :Documentation: Available at ChatGPT <https://github.com/Core-Craft/backend/README.md>_ :Author: Amit Das

About

This code provides an API endpoint that generates text based on prompts given by users, using the pre-trained GPT2 language model from the transformers library.

Getting started

• Fork this repository (Click the Fork button in the top right of this page, click your Profile Image)
• Clone your fork down to your local machine

git clone https://github.com/Core-Craft/backend.git

• Create a branch

git checkout -b branch-name

• Make your changes (choose from any task below)
• Commit and push

git add .
git commit -m 'Commit message'
git push origin branch-name

• Create a new pull request from your forked repository (Click the New Pull Request button located at the top of your repo)
• Wait for your PR review and merge approval!
• Star this repository if you had fun!

Installation

You can install the dependencies using the following command:

.. code-block:: bash

pip install -r requirements/dev.txt

.. end-code-block

Usage

To start the server, simply run the following command:

.. code-block:: bash

uvicorn app.main:app --reload

.. end-code-block

This will start the server on http://localhost:8000.

Endpoint

http://localhost:8000/docs

Example Request

.. code-block:: http

POST /generate HTTP/1.1
Host: localhost:8000
Content-Type: application/json

{
    "prompt": "The quick brown fox"
}

Example Response

.. code-block:: http

HTTP/1.1 200 OK
Content-Type: text/plain

jumps over the lazy dog.

References

• FastAPI <https://fastapi.tiangolo.com/>_
• Uvicorn <https://www.uvicorn.org/>_
• Pydantic <https://pydantic-docs.helpmanual.io/>_
• Transformers <https://huggingface.co/transformers/>_