Inputs

The API is built around a simple idea. You send inputs (images) to the service and it returns predictions. In addition to receiving predictions on inputs, you can also 'save' inputs and their predictions to later search against. You can also 'save' inputs with concepts to later train your own model.

Add Inputs

You can add inputs one by one or in bulk. If you do send bulk, you are limited to sending 128 inputs at a time.

Images can either be publicly accessible URLs or file bytes. If you are sending file bytes, you must use base64 encoding.

You are encouraged to send inputs with your own id. This will help you later match the input to your own database. If you do not send an id, one will be created for you.

Add an input using a publicly accessible URL

app.inputs.create({
url: "https://samples.clarifai.com/metro-north.jpg"
}).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
app.inputs.create_image_from_url("https://samples.clarifai.com/metro-north.jpg")
client.addInputs()
.plus(ClarifaiInput.forImage("https://samples.clarifai.com/metro-north.jpg"))
.executeSync();
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.AddInputs(
new ClarifaiURLImage("https://samples.clarifai.com/metro-north.jpg"))
.ExecuteAsync();
}
}
}
ClarifaiImage *image = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/metro-north.jpg"];
[app addInputs:@[image] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->addInputs(
new ClarifaiURLImage('https://samples.clarifai.com/metro-north.jpg'))
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg"
}
}
}
]
}'\
https://api.clarifai.com/v2/inputs

Add an input using bytes

The data must be base64 encoded. When you add a base64 image to our servers, a copy will be stored and hosted on our servers. If you already have an image hosting service we recommend using it and adding images via the url parameter.

app.inputs.create({
base64: "Zvfauhti4D..."
}).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
# add from filename
app.inputs.create_image_from_filename(filename)
# add from base64 bytes
app.inputs.create_image_from_base64(base64_bytes)
client.addInputs()
.plus(ClarifaiInput.forImage(new File("image.png")))
.executeSync();
using System.IO;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.AddInputs(
new ClarifaiFileImage(File.ReadAllBytes("image.png")))
.ExecuteAsync();
}
}
}
ClarifaiImage *imageFromImage = [[ClarifaiImage alloc] initWithImage:@"dress.jpg"];
[app addInputs:@[imageFromImage] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiFileImage;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->addInputs(
new ClarifaiFileImage(file_get_contents('/home/user/image.png')))
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"base64": '"`base64 /home/user/image.jpeg`"'"
}
}
}
]
}'\
https://api.clarifai.com/v2/inputs

Add multiple inputs with ids

app.inputs.create([
{
url: "https://samples.clarifai.com/metro-north.jpg",
id: 'train1'
},
{
url: "https://samples.clarifai.com/puppy.jpg",
id: 'puppy1'
}
]).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
app = ClarifaiApp(api_key='YOUR_API_KEY')
img1 = ClImage(url="https://samples.clarifai.com/metro-north.jpg", image_id="train1")
img2 = ClImage(url="https://samples.clarifai.com/puppy.jpg", image_id="puppy1")
app.inputs.bulk_create_images([img1, img2])
client.addInputs()
.plus(
ClarifaiInput.forImage("https://samples.clarifai.com/metro-north.jpg")
.withConcepts(Concept.forID("id1")),
ClarifaiInput.forImage("https://samples.clarifai.com/wedding.jpg")
.withConcepts(Concept.forID("id2"))
)
.executeSync();
using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;
using Clarifai.DTOs.Predictions;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.AddInputs(
new ClarifaiURLImage(
"https://samples.clarifai.com/metro-north.jpg",
positiveConcepts: new List<Concept> {new Concept("id1")}),
new ClarifaiURLImage(
"https://samples.clarifai.com/wedding.jpg",
positiveConcepts: new List<Concept> {new Concept("id2")}))
.ExecuteAsync();
}
}
}
ClarifaiImage *train = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/metro-north.jpg"];
train.inputID = @"train";
ClarifaiImage *puppy = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/puppy.jpg"];
puppy.inputID = @"puppy";
[app addInputs:@[train, puppy] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;
use Clarifai\DTOs\Predictions\Concept;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->addInputs([
(new ClarifaiURLImage('https://samples.clarifai.com/metro-north.jpg'))
->withPositiveConcepts([new Concept('id1')]),
(new ClarifaiURLImage('https://samples.clarifai.com/wedding.jpg'))
->withPositiveConcepts([new Concept('id2')]),
])
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg"
}
},
"id": "{id1}"
},
{
"data": {
"image": {
"url": "https://samples.clarifai.com/puppy.jpg"
}
},
"id": "{id2}"
}
]
}'\
https://api.clarifai.com/v2/inputs

Add Inputs With Concepts

If you would like to add an input with concepts, you can do so like this. Concepts play an important role in creating your own models using your own concepts. You can learn more about creating your own models above. Concepts also help you search for inputs. You can learn more about search here.

When you add a concept to an input, you need to indicate whether the concept is present in the image or if it is not present.

You can add inputs with concepts as either a URL or bytes.

app.inputs.create({
url: "https://samples.clarifai.com/puppy.jpg",
concepts: [
{
id: "boscoe",
value: true
}
]
}).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
app = ClarifaiApp(api_key='YOUR_API_KEY')
# add by url
app.inputs.create_image_from_url("https://samples.clarifai.com/puppy.jpg", concepts=['boscoe'])
# add by base64 bytes
app.inputs.create_image_from_base64(base64_bytes, concepts=['boscoe'])
# add by raw bytes
app.inputs.create_image_from_bytes(raw_bytes, concepts=['boscoe'])
# add by local file
app.inputs.create_image_from_filename(local_filename, concepts=['boscoe'])
# add multiple with concepts
img1 = ClImage(url="https://samples.clarifai.com/puppy.jpg", concepts=['boscoe'], not_concepts=['our_wedding'])
img2 = ClImage(url="https://samples.clarifai.com/wedding.jpg", concepts=['our_wedding'], not_concepts=['cat','boscoe'])
app.inputs.bulk_create_images([img1, img2])
client.addInputs()
.plus(ClarifaiInput.forImage("https://samples.clarifai.com/puppy.jpg")
.withConcepts(
// To mark a concept as being absent, chain `.withValue(false)`
Concept.forID("boscoe")
)
)
.executeSync();
using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;
using Clarifai.DTOs.Predictions;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.AddInputs(
new ClarifaiURLImage(
"https://samples.clarifai.com/puppy.jpeg",
// To mark a concept as being absent, use negativeConcepts
positiveConcepts: new List<Concept> {new Concept("boscoe")}))
.ExecuteAsync();
}
}
}
ClarifaiImage *puppy = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/puppy.jpg"
andConcepts:@[@"cute puppy"]];
[app addInputs:@[puppy] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;
use Clarifai\DTOs\Predictions\Concept;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->addInputs(
(new ClarifaiURLImage('https://samples.clarifai.com/metro-north.jpg'))
->withPositiveConcepts([new Concept('id1')]))
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/puppy.jpg"
},
"concepts":[
{
"id": "boscoe",
"value": true
}
]
}
}
]
}'\
https://api.clarifai.com/v2/inputs

Add Inputs With Custom Metadata

In addition to adding an input with concepts, you can also add an input with custom metadata. This metadata will then be searchable. Metadata can be any arbitrary JSON.

app.inputs.create({
url: "https://samples.clarifai.com/puppy.jpg",
metadata: {id: 'id001', type: 'plants', size: 100}
}).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
app = ClarifaiApp(api_key='YOUR_API_KEY')
# metadata must be defined as JSON object
metadata = {'id':'id001', 'type':'plants', 'size':100}
# adding metadata along with url, filename, etc
app.inputs.create_image_from_url(url="https://samples.clarifai.com/puppy.jpg", metadata=metadata)
app.inputs.create_image_from_filename(filename="aa.jpg", metadata=metadata)
# define an image with metadata for bulk import
img = Image(url="", metadata=metadata)
app.inputs.bulk_create_images([img])
final JsonObject metadata = new JsonObject();
metadata.addProperty("isPuppy", true);
client.addInputs()
.plus(
ClarifaiInput.forImage("https://samples.clarifai.com/puppy.jpg")
.withMetadata(metadata)
).executeSync();
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;
using Newtonsoft.Json.Linq;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
var metadata = new JObject(
new JProperty("key1", "val1"),
new JProperty("key2", "val2"));
await client.AddInputs(
new ClarifaiURLImage(
"https://samples.clarifai.com/puppy.jpeg",
metadata: metadata))
.ExecuteAsync();
}
}
}
ClarifaiImage *puppy = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/puppy.jpg"
andConcepts:@[@"cute puppy"]];
puppy.metadata = @{@"my_key": @[@"my",@"values"], @"cuteness": @"extra-cute"};
[app addInputs:@[puppy] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
NSLog(@"inputs: %@", inputs);
}];
//coming soon
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/puppy.jpg",
"allow_duplicate_url": true
},
"metadata": {
"key": "value",
"list":[1,2,3]
}
}
}
]
}'\
https://api.clarifai.com/v2/inputs

Add Input With A Crop

When adding an input, you can specify crop points. The API will crop the image and use the resulting image. Crop points are given as percentages from the top left point in the order of top, left, bottom and right.

As an example, if you provide a crop as 0.2, 0.4, 0.3, 0.6 that means the cropped image will have a top edge that starts 20% down from the original top edge, a left edge that starts 40% from the original left edge, a bottom edge that starts 30% from the original top edge and a right edge that starts 60% from the original left edge.

app.inputs.create(
{
"url": "https://samples.clarifai.com/metro-north.jpg",
"crop": [0.2, 0.4, 0.3, 0.6]
}
).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
# add url with crop
app.inputs.create_image_from_url(url="https://samples.clarifai.com/metro-north.jpg", crop=[0.2, 0.4, 0.3, 0.6])
client.addInputs()
.plus(
ClarifaiInput.forInputValue(
ClarifaiURLImage.of("https://samples.clarifai.com/metro-north.jpg")
.withCrop(Crop.create()
.top(0.2F)
.left(0.4F)
.bottom(0.3F)
.right(0.6F)
)
)
)
.executeSync();
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs;
using Clarifai.DTOs.Inputs;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.AddInputs(
new ClarifaiURLImage(
"https://samples.clarifai.com/metro-north.jpg",
crop: new Crop(top: 0.2M, left: 0.4M, bottom: 0.3M, right: 0.6M)))
.ExecuteAsync();
}
}
}
ClarifaiCrop *crop = [[ClarifaiCrop alloc] initWithTop:0.2 left:0.3 bottom:0.7 right:0.8];
ClarifaiImage *puppy = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/puppy.jpg" andCrop:crop];
[app addInputs:@[puppy] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Crop;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->addInputs(
(new ClarifaiURLImage('https://samples.clarifai.com/metro-north.jpg'))
->withCrop(new Crop(0.2, 0.4, 0.3, 0.6)))
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg",
"crop": [0.2, 0.4, 0.3, 0.6]
}
}
}
]
}'\
https://api.clarifai.com/v2/inputs

Get Inputs

You can list all the inputs (images) you have previously added either for search or train.

If you added inputs with concepts, they will be returned in the response as well.

This request is paginated.

app.inputs.list({page: 1, perPage: 20}).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
# this is a generator
app.inputs.get_all()
# get a page of inputs
app.inputs.get_by_page(page=1, per_page=20)
client.getInputs() // optionally takes a perPage parameter
.getPage(1)
.executeSync();
using System.Threading.Tasks;
using Clarifai.API;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.GetInputs()
.Page(1)
.ExecuteAsync();
}
}
}
[app getInputsOnPage:1 pageSize:20 completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
NSLog(@"inputs: %@", inputs);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiInput;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->getInputs()->executeSync();
if ($response->isSuccessful()) {
$inputs = $response->get();
foreach ($inputs as $input) {
echo $input->id() . "\n";
}
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X GET \
-H "Authorization: Key YOUR_API_KEY" \
https://api.clarifai.com/v2/inputs

Get Input By Id

If you'd like to get a specific input by id, you can do that as well.

app.inputs.get({id}).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
image = app.inputs.get(input_id)
client.getInputByID("{id}").executeSync();
using System.Threading.Tasks;
using Clarifai.API;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.GetInput("{id}")
.ExecuteAsync();
}
}
}
[_app getInput:input_id completion:^(ClarifaiInput *input, NSError *error) {
NSLog(@"input": %@, input);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->getInput('{input_id}')->executeSync();
if ($response->isSuccessful()) {
// Here we "cast" from ClarifaiInput to ClarifaiURLImage.
$input = $response->get();
echo $input->url();
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X GET \
-H "Authorization: Key YOUR_API_KEY" \
https://api.clarifai.com/v2/inputs/{id}

Get Inputs Status

If you add inputs in bulk, they will process in the background. You can get the status of all your inputs (processed, to_process and errors) like this:

app.inputs.getStatus().then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
app.inputs.check_status()
client.getInputsStatus().executeSync();
using System.Threading.Tasks;
using Clarifai.API;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.GetInputsStatus()
.ExecuteAsync();
}
}
}
[app getInputsStatus:^(int numProcessed, int numToProcess, int errors, NSError *error) {
NSLog(@"number of inputs processed: %d", numProcessed);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiInputsStatus;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->getInputsStatus()->executeSync();
if ($response->isSuccessful()) {
$inputsStatus = $response->get();
echo 'Num. processed: ' . $inputsStatus->processed() . "\n";
echo 'Num. processing: ' . $inputsStatus->processing() . "\n";
echo 'Num. to process: ' . $inputsStatus->toProcess() . "\n";
echo 'Num. errors: ' . $inputsStatus->errors() . "\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X GET \
-H "Authorization: Key YOUR_API_KEY" \
https://api.clarifai.com/v2/inputs/status

Update Input With Concepts

To update an input with a new concept, or to change a concept value from true/false, you can do that:

app.inputs.mergeConcepts([
{
id: "{id}",
concepts: [
{
id: "tree"
},
{
id: "water",
value: false
}
]
},
])
// or if you have an input instance
app.inputs.get({id}).then(
function(input) {
input.mergeConcepts([
{
id: "tree",
value: true
},
{
id: "water",
value: false
}
])
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
app.inputs.merge_concepts('{id}', concepts=['tree'], not_concepts=['water'])
client.mergeConceptsForInput("{input_id}")
.plus(
Concept.forID("tree"),
Concept.forID("water").withValue(false)
)
.executeSync();
using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.API.Requests.Models;
using Clarifai.DTOs.Predictions;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.ModifyInput(
"{input_id}",
ModifyAction.Merge,
positiveConcepts: new List<Concept> {new Concept("tree")},
negativeConcepts: new List<Concept> {new Concept("water")})
.ExecuteAsync();
}
}
}
ClarifaiConcept *concept = [[ClarifaiConcept alloc] initWithConceptName:@"cute cat"];
[_app addConcepts:@[concept] forInputWithID:@"{id}" completion:^(ClarifaiInput *input, NSError *error) {
NSLog(@"input: %@", input);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ModifyAction;
use Clarifai\DTOs\Predictions\Concept;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->modifyInput('{input_id}', ModifyAction::merge())
->withPositiveConcepts([new Concept('tree')])
->withNegativeConcepts([new Concept('water')])
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X PATCH \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"id": "{id}",
"data": {
"concepts": [
{
"id": "tree",
"value": true
},
{
"id": "water",
"value": false
}
]
}
}
],
"action":"merge"
}'\
https://api.clarifai.com/v2/inputs

Delete Concepts From An Input

To remove concepts that were already added to an input, you can do this:

app.inputs.deleteConcepts([
{
id: "{id}",
concepts: [
{
id: "tree"
},
{
id: "water",
value: false
}
]
},
])
// or if you have an input instance
app.inputs.get({id}).then(
function(input) {
input.deleteConcepts([
{
id: "tree",
value: true
},
{
id: "water",
value: false
}
])
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
app.inputs.delete_concepts({id}, concepts=['tree', 'water'])
client.removeConceptsForInput("{input_id}")
.plus(
Concept.forID("tree"),
Concept.forID("water")
)
.executeSync();
using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.API.Requests.Models;
using Clarifai.DTOs.Predictions;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.ModifyInput(
"INPUT_ID",
ModifyAction.Remove,
positiveConcepts: new List<Concept> {new Concept("tree")},
negativeConcepts: new List<Concept> {new Concept("water")})
.ExecuteAsync();
}
}
}
ClarifaiConcept *concept = [[ClarifaiConcept alloc] initWithConceptName:@"cute cat"];
[app deleteConcepts:@[concept] forInputWithID:{id} completion:^(ClarifaiInput *input, NSError *error) {
NSLog(@"input: %@", input);
}];
use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ModifyAction;
use Clarifai\DTOs\Predictions\Concept;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->modifyInput('INPUT_ID', ModifyAction::remove())
->withPositiveConcepts([new Concept('tree')])
->withNegativeConcepts([new Concept('water')])
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X PATCH \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"id":"{{asset_id}}",
"data": {
"concepts":[
{"id":"mattid2", "value":true},
{"id":"ferrari", "value":false}
]
}
}
],
"action":"remove"
}'\
https://api.clarifai.com/v2/inputs/

Bulk Update Inputs With Concepts

You can update an existing input using its Id. This is useful if you'd like to add concepts to an input after its already been added.

app.inputs.mergeConcepts([
{
id: "{id1}",
concepts: [
{
id: "tree",
value: true
},
{
id: "water",
value: false
}
]
},
{
id: "{id2}",
concepts: [
{
id: "animal",
value: true
},
{
id: "fruit",
value: false
}
]
}
]).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
input_ids = ["{id1}", "{id2}"]
concept_pairs = [
[('tree', True), ('water', False)],
[('animal', True), ('fruit', False)],
]
app.inputs.bulk_merge_concepts(input_ids, concept_pairs)
// Coming soon
// Coming soon
ClarifaiConcept *newConcept = [[ClarifaiConcept alloc] initWithConceptID:@"tree"];
[_app getInput:@"{input_id}" completion:^(ClarifaiInput *input, NSError *error) {
// Add tree concept to each current input's concept list.
NSMutableArray *newConceptList = [NSMutableArray arrayWithArray:input.concepts];
[newConceptList addObject:newConcept];
input.concepts = newConceptList;
// Merge the new list for one or more inputs.
[_app mergeConceptsForInputs:@[input] completion:^(NSArray<ClarifaiInput *> *inputs, NSError *error) {
NSLog(@"updated inputs: %@", inputs);
}];
}];
//coming soon
curl -X PATCH \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"id": "{id1}",
"data": {
"concepts": [
{
"id": "tree",
"value": true
},
{
"id": "water",
"value": false
}
]
}
},
{
"id": "{id2}",
"data": {
"concepts": [
{
"id": "tree",
"value": true
},
{
"id": "water",
"value": false
}
]
}
}
],
"action":"merge"
}'\
https://api.clarifai.com/v2/inputs

Bulk Delete Concepts From A List Of Inputs

You can bulk delete multiple concepts from a list of inputs:

app.inputs.deleteConcepts([
{
id: "{id1}",
concepts: [
{ id: "tree" },
{ id: "water" }
]
},
{
id: "{id2}",
concepts: [
{ id: "animal" },
{ id: "fruit" }
]
}
]).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
input_ids = ["{id1}", "{id2}"]
concept_pairs = [
['tree', 'water'],
['animal', 'fruit']
]
app.inputs.bulk_delete_concepts(input_ids, concept_pairs)
// Coming soon
// Coming soon
ClarifaiConcept *concept = [[ClarifaiConcept alloc] initWithConceptName:@"cute cat"];
[app deleteConcepts:@[concept] forInputWithID:input_id completion:^(ClarifaiInput *input, NSError *error) {
NSLog(@"input: %@", input);
}];
// Coming soon
curl -X PATCH \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"id": "{id1}",
"data": {
"concepts":[
{
"id": "mattid2"
},
{
"id": "ferrari"
}
]
}
},
{
"id": "{id2}",
"data": {
"concepts":[
{
"id": "mattid2"
},
{
"id": "ferrari"
}
]
}
}
],
"action":"remove"
}'\
https://api.clarifai.com/v2/inputs

Delete Input By Id

You can delete a single input by id:

app.inputs.delete(INPUT_ID).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
app.inputs.delete("INPUT_ID")
client.deleteInput("INPUT_ID")
.executeSync();
using System.Threading.Tasks;
using Clarifai.API;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.DeleteInputs("INPUT_ID")
.ExecuteAsync();
}
}
}
[_app deleteInputsByIDList:@[INPUT_ID] completion:^(NSError *error) {
NSLog(@"input has been deleted");
}];
use Clarifai\API\ClarifaiClient;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->deleteInputs('INPUT_ID')
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X DELETE \
-H "Authorization: Key YOUR_API_KEY" \
https://api.clarifai.com/v2/inputs/<INPUT_ID>

Delete A List Of Inputs

You can also delete multiple inputs in one API call. This will happen asynchronously.

app.inputs.delete([{id1}, {id2}]).then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
app.delete(["{id1}", "{id2}"])
client.deleteInputsBatch()
.plus("{id1}", "{id2}");
.executeSync();
using System.Threading.Tasks;
using Clarifai.API;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.DeleteInputs("{id1}", "{id2}")
.ExecuteAsync();
}
}
}
[_app deleteInputsByIDList:@[{id1}, {id2}] completion:^(NSError *error) {
NSLog(@"inputs have been deleted");
}];
use Clarifai\API\ClarifaiClient;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->deleteInputs(['INPUT_ID1', 'INPUT_ID2'])
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X DELETE \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"ids":["INPUT_ID1","INPUT_ID2"]
}'\
https://api.clarifai.com/v2/inputs

Delete All Inputs

If you would like to delete all inputs from an application, you can do that as well. This will happen asynchronously.

app.inputs.delete().then(
function(response) {
// do something with response
},
function(err) {
// there was an error
}
);
from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')
app.inputs.delete_all()
client.deleteAllInputs().executeSync();
using System.Threading.Tasks;
using Clarifai.API;
namespace YourNamespace
{
public class YourClassName
{
public static async Task Main()
{
var client = new ClarifaiClient("YOUR_API_KEY");
await client.DeleteAllInputs()
.ExecuteAsync();
}
}
}
[app deleteAllInputs:^(ClarifaiInput *input, NSError *error) {
NSLog(@"all inputs have been deleted");
}];
use Clarifai\API\ClarifaiClient;
$client = new ClarifaiClient('YOUR_API_KEY');
$response = $client->deleteInputs([], true)
->executeSync();
if ($response->isSuccessful()) {
echo "Response is successful.\n";
} else {
echo "Response is not successful. Reason: \n";
echo $response->status()->description() . "\n";
echo $response->status()->errorDetails() . "\n";
echo "Status code: " . $response->status()->statusCode();
}
curl -X DELETE \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"delete_all":true
}'\
https://api.clarifai.com/v2/inputs