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- Python
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- C++
- c#
- Swift
response = stub.PostModelOutputs(
service_pb2.PostModelOutputsRequest(
model_id="{THE_MODEL_ID}",
inputs=[
resources_pb2.Input(
data=resources_pb2.Data(
image=resources_pb2.Image(
url="https://samples.clarifai.com/metro-north.jpg"
)
)
)
]
),
metadata=metadata
)
print("Predicted concepts:")
for concept in response.outputs[0].data.concepts:
print(concept.name + " " + str(concept.value))
MultiOutputResponse response = stub.postModelOutputs(
PostModelOutputsRequest.newBuilder()
.setModelId("aaa03c23b3724a16a56b629203edc62c")
.addInputs(
Input.newBuilder().setData(
Data.newBuilder().setImage(
Image.newBuilder().setUrl("YOUR_IMAGE_URL")
)
)
)
.build()
);
const request = new service.PostModelOutputsRequest();
request.setModelId("aaa03c23b3724a16a56b629203edc62c");
request.addInputs(
new resources.Input()
.setData(
new resources.Data()
.setImage(
new resources.Image()
.setUrl("https://samples.clarifai.com/dog2.jpeg")
)
)
)
[$response, $status] = $client->PostModelOutputs(
new PostModelOutputsRequest([
'model_id' => 'aaa03c23b3724a16a56b629203edc62c',
'inputs' => [
new Input([
'data' => new Data([
'image' => new Image([
'url' => 'https://samples.clarifai.com/dog2.jpeg'
])
])
])
]
]),
$metadata
)->wait();
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",
},
},
},
},
},
)
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()
};
string GENERAL_MODEL_ID = "aaa03c23b3724a16a56b629203edc62c";
PostModelOutputsRequest request;
request.set_model_id(GENERAL_MODEL_ID);
Input* input = request.add_inputs();
Data* data = input->mutable_data();
Image* image = data->mutable_image();
image->set_url("https://samples.clarifai.com/dog2.jpeg");
MultiOutputResponse response;
grpc::Status status = stub->PostModelOutputs(context.get(), request, &response);
if (!status.ok()) {
cout << "Failure: " << status.error_code() << " " << status.error_message() << endl;
exit(1);
}
if (response.status().code() != status::StatusCode::SUCCESS) {
cout << "Error response: " << response.status().code() << " " << response.status().description() << " " << response.status().details() << endl;
exit(1);
}
Data response_data = response.outputs(0).data();
cout << "Predicted concepts:" << endl;
for (int i = 0; i < response_data.concepts_size(); i++) {
const Concept& c = response_data.concepts(i);
cout << "\t" << c.name() << ": " << c.value() << endl;
}
var response = client.PostModelOutputs(
new PostModelOutputsRequest()
{
ModelId = "aaa03c23b3724a16a56b629203edc62c",
Inputs =
{
new List<Input>()
{
new Input()
{
Data = new Data()
{
Image = new Image()
{
Url = "https://samples.clarifai.com/dog2.jpeg"
}
}
}
}
}
},
metadata
);
let response = try client.postModelOutputs(
Clarifai_Api_PostModelOutputsRequest.with {
$0.modelID = "aaa03c23b3724a16a56b629203edc62c";
$0.inputs = [
Clarifai_Api_Input.with {
$0.data = Clarifai_Api_Data.with {
$0.image = Clarifai_Api_Image.with {
$0.url = "https://samples.clarifai.com/dog2.jpeg"
}
}
}
]
}
).response.wait()
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"Clarifai is a true leader in AI applications for DAM and serves our users by improving the searchability and discoverability of their content. Today, Widen users gain the ability to search by image, which is a game-changer during time-sensitive projects. By saving countless hours for users, this partnership with Clarifai improves the Widen experience and delivers true ROI for our customers."

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"The team was a pleasure to work with. We had a highly dynamic (some would say chaotic) deployment schedule, but the Clarifai team did their best to be malleable to our needs. They were professional, engaging and collaborative. Through constant interaction with us, they iterated on their solution and developed novel approaches to our problem."
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