End-to-end NLP project with Hugging Face, FastAPI and Docker

This is the GitHub repository for the blog post [End-to-end NLP project with Hugging Face, FastAPI and Docker](INSERT URL).

Here's how to use this repo.

First, build a Docker image by running this:

docker build -t sentiment-app .

Then, run a Docker container from the image:

docker run -d -p 8000:8000 sentiment-app:latest

This will expose an API endpoint on http://your_address:8000/analyze

Here's how to call the API endpoint using curl:

curl -X 'POST' \ 'http://localhost:8000/analyze' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -d '{ "input_string": "This tutorial is very useful" }'

The result should look like this:

{
  "result": [
    {
      "label": "POSITIVE",
      "score": 0.9992365837097168
    }
  ]
}

For an example of how to call the API endpoint through a Python script, see call_api.py