clarifai-go-grpc

README

Clarifai Go gRPC Client

This is the official Clarifai gRPC Go client for interacting with our powerful recognition API. Clarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire artificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision and natural language processing.

• Try the Clarifai demo at: https://clarifai.com/demo
• Sign up for a free account at: https://portal.clarifai.com/signup
• Read the documentation at: https://docs.clarifai.com/

Installation

go get github.com/Clarifai/clarifai-go-grpc@INSERT_VERSION_HERE

Versioning

This library doesn't use semantic versioning. The first two version numbers (X.Y out of X.Y.Z) follow the API (backend) versioning, and whenever the API gets updated, this library follows it.

The third version number (Z out of X.Y.Z) is used by this library for any independent releases of library-specific improvements and bug fixes.

Getting started

Construct the V2Client object using which you access all the Clarifai API functionality, and a Context object which is used for authentication - remember to insert your own Clarifai API key (or PAT).

import (
	"context"
	"fmt"
	"github.com/Clarifai/clarifai-go-grpc/proto/clarifai/api"
	"github.com/Clarifai/clarifai-go-grpc/proto/clarifai/api/status"
	"google.golang.org/grpc"
	"google.golang.org/grpc/credentials"
	"google.golang.org/grpc/metadata"
)

conn, err := grpc.Dial(
    "api.clarifai.com:443",
    grpc.WithTransportCredentials(credentials.NewClientTLSFromCert(nil, "")),
)
if err != nil {
    panic(err)
}
client := api.NewV2Client(conn)

ctx := metadata.AppendToOutgoingContext(
    context.Background(),
    "Authorization", "Key YOUR_CLARIFAI_API_KEY_OR_PAT",
)

Predict concepts in an image:

// This is a publicly available model ID.
var GeneralModelId = "aaa03c23b3724a16a56b629203edc62c"
response, err := client.PostModelOutputs(
    ctx,
    &api.PostModelOutputsRequest{
        ModelId: GeneralModelId,
        Inputs: []*api.Input{
            {
                Data: &api.Data{
                    Image: &api.Image{
                        Url: "https://samples.clarifai.com/dog2.jpeg",
                    },
                },
            },
        },
    },
)
if err != nil {
    panic(err)
}
if response.Status.Code != status.StatusCode_SUCCESS {
    panic(fmt.Sprintf("Failed response: %s", response))
}

for _, concept := range response.Outputs[0].Data.Concepts {
    fmt.Printf("%s: %.2f\n", concept.Name, concept.Value)
}