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ai-doc-summarisation's Introduction

Main.py

It serves as the entry point of the application, there are 4 endpoints in this project.

  1. /login
  2. /signup
  3. /credits
  4. /summarize

User data has been saved in Mongodb

Login

For login purpose

Signup

To signup a user, on signup each user is awarded 3 credits so he is able to summarize 3 pdf documents for free

Summarzie pdf

For pdf summarization we have used chatgpt-3.5-turbo model. It reads document thoroughly and then outputs a brief but concise summary.

For summarization user should first sign up and then login using the endpoint for login, then using the frontend user can easily summarize upto three pdf documents.

This endpoint is protected through JWT-Auth, so its only accessible to registered users

How does credits work

This enpoint is used to fetch the remaining credits of every user. Through the jwt it identifies a user and then fetch user credits. Each user is awarded 3 credits so he is able to summarize 3 pdf documents for free

Environment Variables

Create a .env file in the root and follow .env.example to add all the environmental variables in it.

API_KEY

ANOTHER_API_KEY

Deployment

-> You should have Mongodb Server installed in the system

To deploy this project run

  pip install -r requirements.txt
  uvicorn main:app --reload

ai-doc-summarisation's People

Contributors

anas-ce avatar husnain-ce avatar dependabot[bot] avatar

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