Bert qa app

FastAPI with Hugging Face Transformers

This project is a simple FastAPI application that uses a Hugging Face BERT model for question-answering.

Features

• Home route that returns a "Hello World" message
• Question-answering route that uses a BERT model to answer questions based on provided context

Installation

Prerequisites

• Docker
• Python 3.9

Steps

1. Clone the repository:

   git clone https://github.com/yourusername/your-repo-name.git
   cd your-repo-name

2. Build the Docker image:

   docker build -t fastapi-bert .

3. Run the Docker container:

   docker run -p 7860:7860 fastapi-bert

Usage

After running the Docker container, the application will be available at http://localhost:7860.

Endpoints

• GET /: Returns a "Hello World" message.

• GET /answer: Accepts a question and a context as query parameters and returns an answer.

  Example:

  curl -X 'GET' 
  'http://localhost:7860/answer?question=What%20is%20the%20capital%20of%20France?&context=Paris%20is%20the%20capital%20of%20France.' 
  -H 'accept: application/json'