/quizzzy-backend

Generate MCQ questions from context

Primary LanguagePythonMIT LicenseMIT

Welcome to quizzzy-backend 👋

License: MIT

This is backend for Quizzzy, Python application which automatically generate MCQ (specially factoid) questions and answers from given context, uses FastAPI to build APIs.

Automatically generating question from context is a trival task till today. This approach uses transformers and other algorithms to generate both question and answers from given context. We can divide the problem (Automatic question & answer generation) into many subproblems.

NOTE: This is applicable only to MCQ question generation.

Workflow is,

  1. Answer generation
  2. Question generation
  3. False answers generation aka Distractors

  • Answer generation

Answer will always lies in given context. So, we just need to extract the answers from the context. To extract answers aka keyword from context, keyBERT is used, which is a powerful and easy-to-use keyword extraction technique. These extracted keywords are the answers for the questions which is going to be generated.

  • Question generation

T5 transformers are used to generate questions when answer and context are given. These transformer were finetuned on SQuAD (reading comprehension QA) and SciQ (Science exam QA) datasets. Training details are in this repo. Those transformers will generate reading comprehensive questions and logical questions.

  • False answers generation

False answers needs to be in same context as correct answer and needs to distract user. sense2vec library and other custom algorithms are used to tackle this problem. But, still, word sense disambiguation is a challenging task, sometimes output won't be desireable. So, Human-In-The-Loop method is used here. Which is, users can modify false answers if generated one is not desireable. This is implemented in frontend.

Prerequisite

  • Docker
  • Firebase Firestore

Usage

Build Docker image by cloning the repo.

$ git clone https://github.com/Karthick47v2/quizzzy-backend.git
$ docker build -t quizzzy/latest .

Run container from image.

$ docker run --name mcq-gen -d -p 8080:8080 quizzzy/latest

Now it will be accessible on http://localhost:8080

Now you can generate questions and answers by sending POST request to http://localhost:8080/get-questions/

Body of POST req should be,

{
    context: <context needed to generate questions and answers>
    uid: <firebase user unique id >
    name: <title for questionnaire>
}
# app designed in a way to automatically send generated ans and question to requested flutter app user's auth id

Run tests

pytest app/tests/

You can also view the code coverage report here

Author

👤 Karthick T. Sharma

🤝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

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