Entity sentiment anlysis and bing image search.
This app uses GCP Natural Language API. You'll need an API key to run your own version of this app. Place API key file in creds/ for Docker to fetch it.
Docker is used to run the app in a container. Have Docker installed and running before the next steps. To build the image, run the following in the project directory:
docker build -t language-api .
Run docker images to check if the image has been built. The following launches a container off that image and deploys the app at http://localhost:8080/
docker run --publish 8080:8080 --name build --rm language-api
The API currently only accepts GET requests at http://localhost:8080/entity Submit input text as query parameters in the format of:
{text: "Your input text."}
On a successful response the API returns entities, sentiments and corresponding images in the format []Entity where Entity is in the format.
type Entity struct {
Name string `json:"name,omitempty"`
Order int32 `json:"order,omitempty"`
Sentiment float32 `json:"sentiment,omitempty"`
Images []Image `json:"images,omitempty"`
}
type Image struct {
Iid string `json:"iid,omitempty"`
Url string `json:"url,omitempty"`
}
Returns null if no entities found.