Natural Language Processing API Example

This is a simple API to test the Natural Language Processing/Understanding offerings from Watson and Google.

Getting Started

• Create a Google Natural Language project.
• Create a Watson Natural Language Understanding Project.
• Duplicate src/.env.sample to src/.env.
• Add the path to the Google application credentials JSON file to the src/.env file.
• Add the Watson project credentials to the src/.env file.
• Set your preferred port number in the src/.env file.

# Install dependencies
npm install

# Start development live-reload server
npm run dev

# Start production server:
npm start

Docker Support

# Build your docker
docker build -t nlp/api-service .

# run your docker
docker run -p 8080:8080 nlp/api-service 

Sample POST

# run with port 8080 with either /api/google or /api/watson
# Replace example.com with your preferred site.
curl -X POST \
  http://localhost:8080/api/google \
  -H 'Cache-Control: no-cache' \
  -H 'Content-Type: application/json' \
  -d '{
	"url": "https://example.com"
}'

License

MIT