Please note that this client is currently unsupported and has not been updated to correspond to the latest version of the Clarifai API.
This is the official Clarifai gRPC Rust 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/
Add these dependencies to Cargo.toml
: clarifai_grpc
, protobuf
and grpcio
.
[dependencies]
clarifai_grpc = "*"
grpcio = "0.6.0"
protobuf = "2.0"
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.
Construct the V2Client
object using which you'll access all the Clarifai API functionality,
and a CallOption
object that will be used for authentication.
use grpcio::{CallOption, MetadataBuilder};
use protobuf::{RepeatedField, SingularPtrField};
use clarifai_grpc::clarifai_channel;
use clarifai_grpc::grpc::resources;
use clarifai_grpc::grpc::service;
use clarifai_grpc::grpc::service_grpc::V2Client;
use clarifai_grpc::grpc::status_code::StatusCode;
let client = V2Client::new(clarifai_channel::grpc());
// Setup authentication.
let auth = "Key YOUR_CLARIFAI_API_KEY_OR_PAT".to_string();
let mut builder = MetadataBuilder::with_capacity(1);
builder.add_str("Authorization", &auth).unwrap();
let metadata = builder.build();
let call_opt = CallOption::default().headers(metadata);
On Windows and macOS gRPC requires explicitly setting the root of trust for SSL. One way to do this is by setting the
GRPC_DEFAULT_SSL_ROOTS_FILE_PATH
environmental variable. To do this on macOS use:curl -Lo roots.pem https://raw.githubusercontent.com/grpc/grpc/master/etc/roots.pem export GRPC_DEFAULT_SSL_ROOTS_FILE_PATH="$PWD/roots.pem"
On Windows use:
@powershell -NoProfile -ExecutionPolicy unrestricted -Command ^ (new-object System.Net.WebClient).Downloadfile( ^ 'https://raw.githubusercontent.com/grpc/grpc/master/etc/roots.pem', ^ 'roots.pem') set GRPC_DEFAULT_SSL_ROOTS_FILE_PATH=%cd%\roots.pem
See more here.
Predict concepts in an image:
// This is a publicly available model.
const GENERAL_MODEL_ID: &str = "aaa03c23b3724a16a56b629203edc62c";
let request = service::PostModelOutputsRequest {
model_id: GENERAL_MODEL_ID.to_string(),
inputs: RepeatedField::from(vec![resources::Input {
data: SingularPtrField::some(resources::Data {
image: SingularPtrField::some(resources::Image {
url: "https://samples.clarifai.com/dog2.jpeg".to_string(),
..Default::default()
}),
..Default::default()
}),
..Default::default()
}]),
..Default::default()
};
let response = client
.post_model_outputs_opt(&request, call_opt)
.expect("Failure");
let status = response.get_status();
if status.get_code() != StatusCode::SUCCESS {
println!("Failure response:");
println!("\t{:?}", status.get_code());
println!("\t{}", status.get_description());
println!("\t{}", status.get_details());
std::process::exit(1);
}
println!("Predicted concepts:");
for concept in response.get_outputs()[0].get_data().get_concepts() {
println!("\t{}: {}", concept.get_name(), concept.get_value());
}