curl "https://api.nlpcloud.io/v1/bart-large-cnn/summarization" \
  -H "Authorization: Token 4eC39HqLyjWDarjtT1zdp7dc" \
  -H "Content-Type: application/json" \
  -X POST \
  -d '{"text":"One month after the United States began what has become a troubled rollout of a national COVID vaccination campaign, the effort is finally gathering real steam. Close to a million doses -- over 951,000, to be more exact -- made their way into the arms of Americans in the past 24 hours, the U.S. Centers for Disease Control and Prevention reported Wednesday. That s the largest number of shots given in one day since the rollout began and a big jump from the previous day, when just under 340,000 doses were given, CBS News reported. That number is likely to jump quickly after the federal government on Tuesday gave states the OK to vaccinate anyone over 65 and said it would release all the doses of vaccine it has available for distribution. Meanwhile, a number of states have now opened mass vaccination sites in an effort to get larger numbers of people inoculated, CBS News reported."}'

import nlpcloud

client = nlpcloud.Client("bart-large-cnn", "4eC39HqLyjWDarjtT1zdp7dc")
# Returns a json object.
client.summarization("""One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported.""")

require 'nlpcloud'

client = NLPCloud::Client.new('bart-large-cnn','4eC39HqLyjWDarjtT1zdp7dc')
# Returns a json object.
client.summarization("One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported.")

package main

import (
    "net/http"

    "github.com/nlpcloud/nlpcloud-go"
)

func main() {
    client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{
        Model:"bart-large-cnn", Token:"4eC39HqLyjWDarjtT1zdp7dc", GPU:false, Lang:"", Async:false})
    summary, err := client.Summarization(nlpcloud.SummarizationParams{Text: "One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported."})
    ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'bart-large-cnn', token:'4eC39HqLyjWDarjtT1zdp7dc'})

// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.summarization({text:`One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported.`})
  .then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('bart-large-cnn','4eC39HqLyjWDarjtT1zdp7dc');
# Returns a json object.
echo json_encode($client->summarization('One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported.'));

curl "https://api.nlpcloud.io/v1/gpu/bart-large-cnn/summarization" \
  -H "Authorization: Token 4eC39HqLyjWDarjtT1zdp7dc" \
  -H "Content-Type: application/json" \
  -X POST \
  -d '{"text":"One month after the United States began what has become a troubled rollout of a national COVID vaccination campaign, the effort is finally gathering real steam. Close to a million doses -- over 951,000, to be more exact -- made their way into the arms of Americans in the past 24 hours, the U.S. Centers for Disease Control and Prevention reported Wednesday. That s the largest number of shots given in one day since the rollout began and a big jump from the previous day, when just under 340,000 doses were given, CBS News reported. That number is likely to jump quickly after the federal government on Tuesday gave states the OK to vaccinate anyone over 65 and said it would release all the doses of vaccine it has available for distribution. Meanwhile, a number of states have now opened mass vaccination sites in an effort to get larger numbers of people inoculated, CBS News reported."}'

import nlpcloud

client = nlpcloud.Client("bart-large-cnn", "4eC39HqLyjWDarjtT1zdp7dc", gpu=True)
# Returns a json object.
client.summarization("""One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported.""")

require 'nlpcloud'

client = NLPCloud::Client.new('bart-large-cnn','4eC39HqLyjWDarjtT1zdp7dc', gpu: true)
# Returns a json object.
client.summarization("One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported.")

package main

import (
    "net/http"

    "github.com/nlpcloud/nlpcloud-go"
)

func main() {
    client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{
        Model:"bart-large-cnn", Token:"4eC39HqLyjWDarjtT1zdp7dc", GPU:true, Lang:"", Async:false})
    summary, err := client.Summarization(nlpcloud.SummarizationParams{Text: "One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported."})
    ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'bart-large-cnn', token:'4eC39HqLyjWDarjtT1zdp7dc', gpu:true})

// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.summarization({text:`One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported.`})
  .then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('bart-large-cnn','4eC39HqLyjWDarjtT1zdp7dc', True);
# Returns a json object.
echo json_encode($client->summarization('One month after the United States began what has become a 
  troubled rollout of a national COVID vaccination campaign, the effort is finally 
  gathering real steam. Close to a million doses -- over 951,000, to be more exact -- 
  made their way into the arms of Americans in the past 24 hours, the U.S. Centers 
  for Disease Control and Prevention reported Wednesday. That s the largest number 
  of shots given in one day since the rollout began and a big jump from the 
  previous day, when just under 340,000 doses were given, CBS News reported. 
  That number is likely to jump quickly after the federal government on Tuesday 
  gave states the OK to vaccinate anyone over 65 and said it would release all 
  the doses of vaccine it has available for distribution. Meanwhile, a number 
  of states have now opened mass vaccination sites in an effort to get larger 
  numbers of people inoculated, CBS News reported.'));

{
  "summary_text": "Over 951,000 doses were given in the past 24 hours. 
  That's the largest number of shots given in one day since the rollout began.
  That number is likely to jump quickly after the federal government gave 
  states the OK to vaccinate anyone over 65. A number of states have now 
  opened mass vaccination sites."
}

curl "https://api.nlpcloud.io/v1/<model>/<endpoint>" \
  -H "Authorization: Token <token>"

import nlpcloud

client = nlpcloud.Client("<model>", "<token>")

require 'nlpcloud'

client = NLPCloud::Client.new('<model>','<token>')

package main

import (
    "net/http"

    "github.com/nlpcloud/nlpcloud-go"
)

func main() {
    client := nlpcloud.NewClient(&http.Client, "<model>", "<token>", false, "")
    ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'<model>', token:'<token>'})

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('<model>','<token>');

curl "https://api.nlpcloud.io/<version>/<model>/<endpoint>"

# The latest API version is automatically set by the library.

# The latest API version is automatically set by the library.

// The latest API version is automatically set by the library.

// The latest API version is automatically set by the library.

// The latest API version is automatically set by the library.

curl "https://api.nlpcloud.io/v1/<model>/<endpoint>" \
  -H "Content-Type: application/json" \
  -X POST \
  -d '{"text":"John Doe has been working for Microsoft in Seattle since 1999."}'

# Encoding is automatically handled by the library.

# Encoding is automatically handled by the library.

// Encoding is automatically handled by the library.

// Encoding is automatically handled by the library.

// Encoding is automatically handled by the library.

curl "https://api.nlpcloud.io/v1/<model>/<endpoint>"

# Set the model during client initialization.
client = nlpcloud.Client("<model>", "<token>")

client = NLPCloud::Client.new('<model>','<token>')

client := nlpcloud.NewClient(&http.Client, "<model>", "<token>", false, "")

const client = new NLPCloudClient({model:'<model>',token:'<token>'})

$client = new \NLPCloud\NLPCloud('<model>','<token>');

curl "https://api.nlpcloud.io/v1/en_core_web_lg/entities"

client = nlpcloud.Client("en_core_web_lg", "<token>")

client = NLPCloud::Client.new('en_core_web_lg','<token>')

client := nlpcloud.NewClient(&http.Client, "en_core_web_lg", "<token>", false, "")

const client = new NLPCloudClient({model:'en_core_web_lg',token:'<token>'})

$client = new \NLPCloud\NLPCloud('en_core_web_lg','<your token>');

curl "https://api.nlpcloud.io/v1/custom-model/7894/entities"

client = nlpcloud.Client("custom-model/7894", "<token>")

client = NLPCloud::Client.new('custom-model/7894','<token>')

client := nlpcloud.NewClient(&http.Client, "custom-model/7894", "<token>", false, "")

const client = new NLPCloudClient({model:'custom-model/7894',token:'<token>'})

$client = new \NLPCloud\NLPCloud('custom-model/7894','<your token>');

model.save_pretrained('saved_model')

nlp.to_disk("/path")

python -m spacy package /path/to/exported/model /path/to/packaged/model

# Go to /path/to/packaged/model
python setup.py sdist

# Go to /path/to/packaged/model
python setup.py bdist_wheel

curl "https://api.nlpcloud.io/v1/gpu/bart-large-mnli-yahoo-answers/classification" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST \
  -d '{
    "text":"John Doe is a Go Developer at Google. He has been working there for 10 years and has been awarded employee of the year",
    "labels":["job", "nature", "space"],
    "multi_class": true
  }'

import nlpcloud

client = nlpcloud.Client("bart-large-mnli-yahoo-answers", "<token>", gpu=True)
# Returns a json object.
client.classification("""John Doe is a Go Developer at Google. 
  He has been working there for 10 years and has been 
  awarded employee of the year.""",
  labels=["job", "nature", "space"],
  multi_class=True)

require 'nlpcloud'

client = NLPCloud::Client.new('bart-large-mnli-yahoo-answers','<token>', gpu: true)
# Returns a json object.
client.classification("John Doe is a Go Developer at Google.
  He has been working there for 10 years and has been 
  awarded employee of the year.",
  labels: ["job", "nature", "space"],
  multi_class: true)

import (
    "net/http"

    "github.com/nlpcloud/nlpcloud-go"
)

func newTrue() *bool {
    b := true
    return &b
}

func main() {
    client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"bart-large-mnli-yahoo-answers", Token:"<token>", 
    GPU:true, Lang:"", Async:false})
    // Returns a Classification struct.
    classes, err := client.Classification(nlpcloud.ClassificationParams{
      Text: `John Doe is a Go Developer at Google. He has been working there for 
      10 years and has been awarded employee of the year.`,
      Labels: []string{"job", "nature", "space"},
      MultiClass: newTrue(),
    })
    ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'bart-large-mnli-yahoo-answers', token:'<token>', gpu:true})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.classification({text:`John Doe is a Go Developer at Google. 
  He has been working there for 10 years and has been 
  awarded employee of the year.`,
  labels:['job', 'nature', 'space'],
  multiClass:true}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('bart-large-mnli-yahoo-answers','<token>', True);
# Returns a json object.
echo json_encode($client->classification("John Doe is a Go Developer at Google. 
  He has been working there for 10 years and has been 
  awarded employee of the year.",
  array("job", "nature", "space"),
  True));

curl "https://api.nlpcloud.io/v1/fra_Latn/bart-large-cnn/summarization" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST -d '{
    "text":"Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille."
}'

import nlpcloud

client = nlpcloud.Client("bart-large-cnn", "<token>", lang="fra_Latn")
# Returns a json object.
client.summarization("""Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille.""")

require 'nlpcloud'

client = NLPCloud::Client.new('bart-large-cnn','<token>', lang: 'fr')
# Returns a json object.
client.summarization("Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille.")

import (
  "net/http"

  "github.com/nlpcloud/nlpcloud-go"
)

func main() {
  client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"bart-large-cnn", Token:"<token>", 
    GPU:false, Lang:"fra_Latn", Async:false})
  // Returns a Summarization struct.
  summary, err := client.Summarization(nlpcloud.SummarizationParams{
    Text: `Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille.`,
  })
  ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'bart-large-cnn','<token>', lang:'fr'})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.summarization({text:`Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille.`}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('bart-large-cnn','<token>', False, 'fr');
# Returns a json object.
echo json_encode($client->summarization("Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille."));

{"summary_text": "Selon l'organisation mondiale de la santé, une centaine
de maisons ont été endommagées, dont 50 détruites sur l'île principale
de Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
a également fait état de deux morts, dont une femme britannique de 50 ans,
Angela Glover. Glover a été emportée par le tsunami après avoir tenté
de sauver des chiens de son refuge."}

curl "https://api.nlpcloud.io/v1/gpu/fra_Latn/bart-large-cnn/summarization" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST -d '{
    "text":"Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille."
}'

import nlpcloud

client = nlpcloud.Client("<model_name>", "<token>", gpu=True, lang="fra_Latn")
# Returns a json object.
client.summarization("""Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille.""")

require 'nlpcloud'

client = NLPCloud::Client.new('<model_name>','<token>', gpu: true, lang: 'fr')
# Returns a json object.
client.summarization("Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille.")

import (
  "net/http"

  "github.com/nlpcloud/nlpcloud-go"
)

func main() {
  client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"<model_name>", Token:"<token>", 
    GPU:true, Lang:"fra_Latn", Async:false})
  // Returns a Summarization struct.
  summary, err := client.Summarization(nlpcloud.SummarizationParams{
    Text: `Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille.`,
  })
  ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'<model_name>', token:'<token>', gpu:true, lang:'fra_Latn'})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.summarization({text:`Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille.`}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('<model_name>','<token>', True, 'fr');
# Returns a json object.
echo json_encode($client->summarization("Sur des images aériennes, prises la veille par un vol de surveillance 
    de la Nouvelle-Zélande, la côte d’une île est bordée d’arbres passés du vert 
    au gris sous l’effet des retombées volcaniques. On y voit aussi des immeubles
    endommagés côtoyer des bâtiments intacts. « D’après le peu d’informations
    dont nous disposons, l’échelle de la dévastation pourrait être immense, 
    spécialement pour les îles les plus isolées », avait déclaré plus tôt 
    Katie Greenwood, de la Fédération internationale des sociétés de la Croix-Rouge.
    Selon l’Organisation mondiale de la santé (OMS), une centaine de maisons ont
    été endommagées, dont cinquante ont été détruites sur l’île principale de
    Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
    a également fait état de deux morts, dont une Britannique âgée de 50 ans,
    Angela Glover, emportée par le tsunami après avoir essayé de sauver les chiens
    de son refuge, selon sa famille."));

{"summary_text": "Selon l'organisation mondiale de la santé, une centaine
de maisons ont été endommagées, dont 50 détruites sur l'île principale
de Tonga, Tongatapu. La police locale, citée par les autorités néo-zélandaises,
a également fait état de deux morts, dont une femme britannique de 50 ans,
Angela Glover. Glover a été emportée par le tsunami après avoir tenté
de sauver des chiens de son refuge."}

curl "https://api.nlpcloud.io/v1/gpu/async/whisper/asr" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST -d '{"url":"https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3"}'

import nlpcloud

client = nlpcloud.Client("whisper", "<token>", gpu=True, asynchronous=True)
client.asr("https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3")

require 'nlpcloud'

client = NLPCloud::Client.new('whisper','<token>', gpu: true, asynchronous: true)
client.asr(url:"https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3")

import (
  "net/http"

  "github.com/nlpcloud/nlpcloud-go"
)

func main() {
  client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"<model_name>", Token:"<token>", 
    GPU:true, Lang:"", Async:true})
  asr, err := client.asr(nlpcloud.ASRParams{
    URL: "https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3",
  })
  ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'whisper',token:'<token>',gpu:true,async:true})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.asr({url:'https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3'}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('whisper','<token>',True,'',True);
echo json_encode($client->asr("https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3"));

{"url":"https://api.nlpcloud.io/v1/get-async-result/86cfbf00-f442-40b1-bb89-275d7d32fd48"}

curl "https://api.nlpcloud.io/v1/get-async-result/<your unique ID>" \
  -H "Authorization: Token <token>"

# Returns a json object.
client.async_result("https://api.nlpcloud.io/v1/get-async-result/<your unique ID>")

client.async_result("https://api.nlpcloud.io/v1/get-async-result/<your unique ID>")

asr, err := client.asr(nlpcloud.AsyncResultParams{
  URL: "https://api.nlpcloud.io/v1/get-async-result/<your unique ID>",
})

client.asyncResult('https://api.nlpcloud.io/v1/get-async-result/<your unique ID>').then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

echo json_encode($client->asyncResult("https://api.nlpcloud.io/v1/get-async-result/<your unique ID>"));

{
  "created_on":"2022-11-18T15:56:16.536025Z",
  "request_body":"{\"url\":\"https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3\"}",
  "finished_on":"2022-11-18T15:56:29.393898Z",
  "http_code":200,
  "error_detail":"",
  "content":"{\"text\":\" CHILDREN AT PLAY by William Henry Davies Read for LibriVox.org by Anita Hibbard, September 27, 2022 I hear a merry noise indeed. Is it the geese and ducks that take their first plunge in a quiet pond, that into scores of ripples break? Or children make this merry sound. I see an oak tree, its strong back could not be bent an inch, though all its leaves were stone, or iron even. A boy, with many a lusty call, rides on a bough bareback through heaven. I see two children dig a hole, and plant in it a cherry stone. We'll come tomorrow, one child said, and then the tree will be full grown and all its boughs have cherries red. Ah, children, what a life to lead! You love the flowers, but when they're past, no flowers are missed by your bright eyes, and when cold winter comes at last, snowflakes shall be your butterflies.\",\"duration\":82,\"language\":\"en\",\"segments\":[{\"id\":0,\"start\":0.0,\"end\":8.94,\"text\":\" CHILDREN AT PLAY by William Henry Davies Read for LibriVox.org by Anita Hibbard, September\"},{\"id\":1,\"start\":8.94,\"end\":11.76,\"text\":\" 27, 2022\"},{\"id\":2,\"start\":11.76,\"end\":14.8,\"text\":\" I hear a merry noise indeed.\"},{\"id\":3,\"start\":14.8,\"end\":21.04,\"text\":\" Is it the geese and ducks that take their first plunge in a quiet pond, that into scores\"},{\"id\":4,\"start\":21.04,\"end\":22.96,\"text\":\" of ripples break?\"},{\"id\":5,\"start\":22.96,\"end\":26.04,\"text\":\" Or children make this merry sound.\"},{\"id\":6,\"start\":26.04,\"end\":32.64,\"text\":\" I see an oak tree, its strong back could not be bent an inch, though all its leaves were\"},{\"id\":7,\"start\":32.64,\"end\":35.04,\"text\":\" stone, or iron even.\"},{\"id\":8,\"start\":35.04,\"end\":41.84,\"text\":\" A boy, with many a lusty call, rides on a bough bareback through heaven.\"},{\"id\":9,\"start\":41.84,\"end\":46.8,\"text\":\" I see two children dig a hole, and plant in it a cherry stone.\"},{\"id\":10,\"start\":46.8,\"end\":53.68,\"text\":\" We'll come tomorrow, one child said, and then the tree will be full grown and all its boughs\"},{\"id\":11,\"start\":53.68,\"end\":56.0,\"text\":\" have cherries red.\"},{\"id\":12,\"seek\":5600,\"start\":56.0,\"end\":59.76,\"text\":\" Ah, children, what a life to lead!\"},{\"id\":13,\"seek\":5600,\"start\":59.76,\"end\":66.24,\"text\":\" You love the flowers, but when they're past, no flowers are missed by your bright eyes,\"},{\"id\":14,\"seek\":6624,\"start\":66.24,\"end\":91.56,\"text\":\" and when cold winter comes at last, snowflakes shall be your butterflies.\"}]}"
}

curl "https://api.nlpcloud.io/v1/gpu/whisper/asr" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST -d '{"url":"https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3"}'

import nlpcloud

client = nlpcloud.Client("whisper", "<token>", True)
# Returns a json object.
client.asr("https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3")

require 'nlpcloud'

client = NLPCloud::Client.new('whisper','<token>', gpu: true)
# Returns a json object.
client.asr(url:"https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3")

import (
  "net/http"

  "github.com/nlpcloud/nlpcloud-go"
)

func main() {
  client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"<model_name>", Token:"<token>", 
    GPU:true, Lang:"", Async:false})
  // Returns an ASR struct.
  asr, err := client.asr(nlpcloud.ASRParams{
    URL: "https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3",
  })
  ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'whisper',token:'<token>',gpu:true})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.asr({url:'https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3'}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('whisper','<token>',True);
# Returns a json object.
echo json_encode($client->asr("https://ia801405.us.archive.org/17/items/children_at_play_2210.poem_librivox/childrenatplay_davies_ah_64kb.mp3"));

{
  "text": " CHILDREN AT PLAY by William Henry Davies Read for LibriVox.org by Anita Hibbard, September 27, 2022 I hear a merry noise indeed. Is it the geese and ducks that take their first plunge in a quiet pond, that into scores of ripples break? Or children make this merry sound. I see an oak tree, its strong back could not be bent an inch, though all its leaves were stone, or iron even. A boy, with many a lusty call, rides on a bough bareback through heaven. I see two children dig a hole, and plant in it a cherry stone. We'll come tomorrow, one child said, and then the tree will be full grown and all its boughs have cherries red. Ah, children, what a life to lead! You love the flowers, but when they're past, no flowers are missed by your bright eyes, and when cold winter comes at last, snowflakes shall be your butterflies.",
  "duration": 82,
  "language": "en",
  "segments": [
    {
      "id": 0,
      "start": 0,
      "end": 8.94,
      "text": " CHILDREN AT PLAY by William Henry Davies Read for LibriVox.org by Anita Hibbard, September"
    },
    {
      "id": 1,
      "start": 8.94,
      "end": 11.76,
      "text": " 27, 2022"
    },
    {
      "id": 2,
      "start": 11.76,
      "end": 14.8,
      "text": " I hear a merry noise indeed."
    },
    {
      "id": 3,
      "start": 14.8,
      "end": 21.04,
      "text": " Is it the geese and ducks that take their first plunge in a quiet pond, that into scores"
    },
    {
      "id": 4,
      "start": 21.04,
      "end": 22.96,
      "text": " of ripples break?"
    },
    {
      "id": 5,
      "start": 22.96,
      "end": 26.04,
      "text": " Or children make this merry sound."
    },
    {
      "id": 6,
      "start": 26.04,
      "end": 32.64,
      "text": " I see an oak tree, its strong back could not be bent an inch, though all its leaves were"
    },
    {
      "id": 7,
      "start": 32.64,
      "end": 35.04,
      "text": " stone, or iron even."
    },
    {
      "id": 8,
      "start": 35.04,
      "end": 41.84,
      "text": " A boy, with many a lusty call, rides on a bough bareback through heaven."
    },
    {
      "id": 9,
      "start": 41.84,
      "end": 46.8,
      "text": " I see two children dig a hole, and plant in it a cherry stone."
    },
    {
      "id": 10,
      "start": 46.8,
      "end": 53.68,
      "text": " We'll come tomorrow, one child said, and then the tree will be full grown and all its boughs"
    },
    {
      "id": 11,
      "start": 53.68,
      "end": 56,
      "text": " have cherries red."
    },
    {
      "id": 12,
      "start": 56,
      "end": 59.76,
      "text": " Ah, children, what a life to lead!"
    },
    {
      "id": 13,
      "start": 59.76,
      "end": 66.24,
      "text": " You love the flowers, but when they're past, no flowers are missed by your bright eyes,"
    },
    {
      "id": 14,
      "start": 66.24,
      "end": 82,
      "text": " and when cold winter comes at last, snowflakes shall be your butterflies."
    }
  ]
}

curl "https://api.nlpcloud.io/v1/gpu/<model>/chatbot" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST -d '{
    "input":"I just broke up with my girlfriend... What is your name by the way?",
    "context":"This is a discussion between a human and an AI. The human is sad but the AI is empathetic and reassuring. The AI is called Patrick.",
    "history":[{"input":"Hello friend", "response":"Hi there, how is it going today?" }, {"input":"Well, not that good...", "response":"Oh? What happened?"}]
  }'

import nlpcloud

client = nlpcloud.Client("<model>", "<token>", True)
# Returns a json object.
client.chatbot("I just broke up with my girlfriend... What's your name by the way?",
  context="This is a discussion between a human and an AI. The human is sad but the AI is empathetic and reassuring. The AI is called Patrick.", 
  history=[{"input":"Hello friend", "response":"Hi there, how is it going today?"}, {"input":"Well, not that good...", "response":"Oh? What happened?"}])

require 'nlpcloud'

client = NLPCloud::Client.new('<model>','<token>', gpu: true)
# Returns a json object.
client.chatbot("I just broke up with my girlfriend... What's your name by the way?", 
  context: "This is a discussion between a human and an AI. The human is sad but the AI is empathetic and reassuring. The AI is called Patrick.", 
  history: [{"input"=>"Hello friend", "response"=>"Hi there, how is it going today?"}, {"input"=>"Well, not that good...", "response"=>"Oh? What happened?"}])

import (
  "net/http"

  "github.com/nlpcloud/nlpcloud-go"
)

func main() {
  client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"<model>", Token:"<token>", 
    GPU:true})

  ptrContext = new(string)
  *ptrContext = "This is a discussion between a human and an AI. The human is sad but the AI is empathetic and reassuring. The AI is called Patrick."
  context := ptrContext

  exchange1 := nlpcloud.Exchange{Input:"Hello friend", Response:"Hi there, how is it going today?"}
  exchange2 := nlpcloud.Exchange{Input:"Well, not that good...", Response:"Oh? What happened?"}

  // Returns a Chatbot struct.
  chatbot, err := client.Chatbot(nlpcloud.ChatbotParams{
    Input: "I just broke up with my girlfriend... What's your name by the way?",
    Context: context,
    History: *[]nlpcloud.Exchange{exchange1, exchange2}
  })
  ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'<model>',token:'<token>',gpu:true})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.chatbot({input:`I just broke up with my girlfriend... What's your name by the way?`, context:'This is a discussion between a human and an AI. The human is sad but the AI is empathetic and reassuring. The AI is called Patrick.', history:[{input:'Hello friend', response:'Hi there, how is it going today?'}, {input:'Well, not that good...', response:'Oh? What happened?'}]).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('<model>','<token>', True);
# Returns a json object.
echo json_encode($client.chatbot("I just broke up with my girlfriend... What's your name by the way?", "This is a discussion between a human and an AI. The human is sad but the AI is empathetic and reassuring. The AI is called Patrick.", array(array("input"=>"Hello friend","response"=>"Hi there, how is it going today?"), array("input"=>"Well, not that good...","response"=>"Oh? What happened?"), ...)));

{
  "response": "I'm really sorry to hear that... My name is Patrick.",
  "history": [{"input":"Hello friend", "response":"Hi there, how is it going today?"}, {"input":"Well, not that good...", "response":"Oh? What happened?"}, {"input":"I just broke up with my girlfriend... What's your name by the way?", "response":"I'm really sorry to hear that... My name is Patrick."}]
}

curl -N --output - "https://api.nlpcloud.io/v1/gpu/<model>/chatbot" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST -d '{
    "input":"I just broke up with my girlfriend... What is your name by the way?",
    "context":"This is a discussion between a human and an AI. The human is sad but the AI is empathetic and reassuring. The AI is called Patrick.",
    "history":[{"input":"Hello friend", "response":"Hi there, how is it going today?" }, {"input":"Well, not that good...", "response":"Oh? What happened?"}],
    "stream":true
}'

# Not implemented yet

# Not implemented yet

client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model: <model_name>, Token: <token>, GPU: true})

ptrContext = new(string)
*ptrContext = "This is a discussion between a human and an AI. The human is sad but the AI is empathetic and reassuring. The AI is called Patrick."
context := ptrContext

exchange1 := nlpcloud.Exchange{Input:"Hello friend", Response:"Hi there, how is it going today?"}
exchange2 := nlpcloud.Exchange{Input:"Well, not that good...", Response:"Oh? What happened?"}

streamBody, err := client.StreamingChatbot(nlpcloud.ChatbotParams{
    Input: "I just broke up with my girlfriend... What's your name by the way?",
    Context: context,
    History: *[]nlpcloud.Exchange{exchange1, exchange2}
  })
if err != nil {
  log.Fatalln(err)
}

defer streamBody.Close()

stream := bufio.NewReader(streamBody)

for {
  chunk, err := stream.ReadBytes('\x00')
  if err != nil {
    if errors.Is(err, io.EOF) {
      break
    }
    log.Fatalln()
  }

  fmt.Println(string(chunk))
}

// Not implemented yet

// Not implemented yet

I'm really sorry to hear that... My name is Patrick.[DONE]

curl "https://api.nlpcloud.io/v1/<model_name>/classification" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST \
  -d '{
    "text":"John Doe is a Go Developer at Google. He has been working there for 10 years and has been awarded employee of the year",
    "labels":["job", "nature", "space"],
    "multi_class": true
  }'

import nlpcloud

client = nlpcloud.Client("<model_name>", "<token>")
# Returns a json object.
client.classification("""John Doe is a Go Developer at Google. 
  He has been working there for 10 years and has been 
  awarded employee of the year.""",
  labels=["job", "nature", "space"],
  multi_class=True)

require 'nlpcloud'

client = NLPCloud::Client.new('<model_name>','<token>')
# Returns a json object.
client.classification("John Doe is a Go Developer at Google.
  He has been working there for 10 years and has been 
  awarded employee of the year.",
  labels:["job", "nature", "space"],
  multi_class: true)

import (
    "net/http"

    "github.com/nlpcloud/nlpcloud-go"
)

func newTrue() *bool {
    b := true
    return &b
}

func main() {
    client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"<model_name>", Token:"<token>", 
    GPU:false, Lang:"", Async:false})
    // Returns a Classification struct.
    classes, err := client.Classification(nlpcloud.ClassificationParams{
      Text: `John Doe is a Go Developer at Google. He has been working 
      there for 10 years and has been awarded employee of the year.`,
      Labels: []string{"job", "nature", "space"},
      MultiClass: newTrue(),
    })
    ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'<model_name>',token:'<token>'})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.classification({text:`John Doe is a Go Developer at Google. 
  He has been working there for 10 years and has been 
  awarded employee of the year.`,
  labels:['job', 'nature', 'space'],
  multiClass:true}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('<model_name>','<token>');
# Returns a json object.
echo json_encode($client->classification("John Doe is a Go Developer at Google. 
  He has been working there for 10 years and has been 
  awarded employee of the year.",
  array("job", "nature", "space"),
  True));

{
  "labels":["job", "space", "nature"],
  "scores":[0.9258800745010376, 0.1938474327325821, 0.010988450609147549]
}

curl "https://api.nlpcloud.io/v1/gpu/<model>/code-generation" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST -d '{"instruction":"Generate a C++ program that sorts a list of integers in ascending order."}'

import nlpcloud

client = nlpcloud.Client("<model>", "<token>", True)
# Returns a json object.
client.code_generation("Generate a C++ program that sorts a list of integers in ascending order.")

require 'nlpcloud'

client = NLPCloud::Client.new('<model>','<token>', gpu: true)
# Returns a json object.
client.code_generation('Generate a C++ program that sorts a list of integers in ascending order.')

import (
  "net/http"

  "github.com/nlpcloud/nlpcloud-go"
)

func main() {
  client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"<model_name>", Token:"<token>", 
    GPU:true, Lang:"", Async:false})
  // Returns an ArticleGeneration struct.
  codeGeneration, err := client.CodeGeneration(nlpcloud.CodeGenerationParams{
    Text: "Generate a C++ program that sorts a list of integers in ascending order.",
  })
  ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'<model>',token:'<token>',gpu:true})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.codeGeneration({instruction:'Generate a C++ program that sorts a list of integers in ascending order.'}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('<model>','<token>', True);
# Returns a json object.
echo json_encode($client->codeGeneration("Generate a C++ program that sorts a list of integers in ascending order."));

{
  "generated_code": "
#include <iostream> 
using namespace std; 

void swap(int* a, int* b) 
{ 
 int t = *a; 
 *a = *b; 
 *b = t; 
} 


int partition (int arr[], int low, int high) 
{ 
 int pivot = arr[high];  
 int i = (low - 1); 

 for (int j = low; j <= high- 1; j++) 
 { 

  if (arr[j] <= pivot) 
  { 
   i++; 
   swap(&arr[i], &arr[j]); 
  } 
 } 
 swap(&arr[i + 1], &arr[high]); 
 return (i + 1); 
} 


void quickSort(int arr[], int low, int high) 
{ 
 if (low < high) 
 { 

  int pi = partition(arr, low, high); 


  quickSort(arr, low, pi - 1); 
  quickSort(arr, pi + 1, high); 
 } 
} 

void printArray(int arr[], int size) 
{ 
 int i; 
 for (i=0; i < size; i++) 
  cout << arr[i] << " "; 
 cout << endl; 
} 

int main() 
{ 
 int arr[] = {10, 7, 8, 9, 1, 5}; 
 int n = sizeof(arr)/sizeof(arr[0]); 
 quickSort(arr, 0, n-1); 
 cout << "Sorted array: \n"; 
 printArray(arr, n); 
 return 0; 
}"
}

curl "https://api.nlpcloud.io/v1/<model_name>/dependencies" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST \
  -d '{"text":"John Doe is a Go Developer at Google"}'

import nlpcloud

client = nlpcloud.Client("<model_name>", "<token>")
# Returns a json object.
client.dependencies("John Doe is a Go Developer at Google")

require 'nlpcloud'

client = NLPCloud::Client.new('<model_name>','<token>')
# Returns a json object.
client.dependencies("John Doe is a Go Developer at Google")

import (
  "net/http"

  "github.com/nlpcloud/nlpcloud-go"
)

func main() {
  client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"<model_name>", Token:"<token>", 
    GPU:false, Lang:"", Async:false})
  // Returns a Dependencies struct.
  dependencies, err := client.Dependencies(nlpcloud.DependenciesParams{
    Text: "John Doe is a Go Developer at Google",
  })
  ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'<model_name>',token:'<token>'})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.dependencies({text:'John Doe is a Go Developer at Google'}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('<model_name>','<token>');
# Returns a json object.
echo json_encode($client->dependencies("John Doe is a Go Developer at Google"));

{
  "words": [
    {
      "text": "John",
      "tag": "NNP"
    },
    {
      "text": "Doe",
      "tag": "NNP"
    },
    {
      "text": "is",
      "tag": "VBZ"
    },
    {
      "text": "a",
      "tag": "DT"
    },
    {
      "text": "Go",
      "tag": "NNP"
    },
    {
      "text": "Developer",
      "tag": "NN"
    },
    {
      "text": "at",
      "tag": "IN"
    },
    {
      "text": "Google",
      "tag": "NNP"
    }
  ],
  "arcs": [
    {
      "start": 0,
      "end": 1,
      "label": "compound",
      "text": "John",
      "dir": "left"
    },
    {
      "start": 1,
      "end": 2,
      "label": "nsubj",
      "text": "Doe",
      "dir": "left"
    },
    {
      "start": 3,
      "end": 5,
      "label": "det",
      "text": "a",
      "dir": "left"
    },
    {
      "start": 4,
      "end": 5,
      "label": "compound",
      "text": "Go",
      "dir": "left"
    },
    {
      "start": 2,
      "end": 5,
      "label": "attr",
      "text": "Developer",
      "dir": "right"
    },
    {
      "start": 5,
      "end": 6,
      "label": "prep",
      "text": "at",
      "dir": "right"
    },
    {
      "start": 6,
      "end": 7,
      "label": "pobj",
      "text": "Google",
      "dir": "right"
    }
  ]
}

curl "https://api.nlpcloud.io/v1/<model name>/embeddings" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST \
  -d '{"sentences":["John Does works for Google.","Janette Doe works for Microsoft.","Janie Does works for NLP Cloud."]}'

import nlpcloud

client = nlpcloud.Client("<model_name>", "<token>")
# Returns json object.
client.embeddings(["John Does works for Google.","Janette Doe works for Microsoft.","Janie Does works for NLP Cloud."])

require 'nlpcloud'

client = NLPCloud::Client.new('<model_name>','<token>')
# Returns a json object.
client.embeddings(["John Does works for Google.","Janette Doe works for Microsoft.","Janie Does works for NLP Cloud."])

import (
  "net/http"

  "github.com/nlpcloud/nlpcloud-go"
)

func main() {
  client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"<model_name>", Token:"<token>", 
    GPU:false, Lang:"", Async:false})
  // Returns an Embeddings struct.
  embeddings, err := client.Embeddings(nlpcloud.EmbeddingsParams{
    Sentences: []string{"John Does works for Google.","Janette Doe works for Microsoft.","Janie Does works for NLP Cloud."},
  })
  ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'<model_name>',token:'<token>'})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.embeddings({sentences:'<Text 1>', '<Text 2>', '<Text 3>', ...]}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('<model_name>','<token>');
# Returns a json object.
echo json_encode($client->embeddings(array("<Text 1>", "<Text 2>", "<Text 3>", ...)));

{
  "embeddings": [
    [0.0927242711186409,-0.19866740703582764,...,-0.013638739474117756,],
    [0.03159608319401741,0.021390020847320557,...,0.1698218137025833],
    ...
    [0.027558118104934692,0.06297887861728668,...,0.09421529620885849]
  ]
}

curl "https://api.nlpcloud.io/v1/<model_name>/entities" \
  -H "Authorization: Token <token>" \
  -H "Content-Type: application/json" \
  -X POST \
  -d '{"text":"John Doe has been working for Microsoft in Seattle since 1999."}'

import nlpcloud

client = nlpcloud.Client("<model_name>", "<token>")
# Returns a json object.
client.entities("John Doe has been working for Microsoft in Seattle since 1999.")

require 'nlpcloud'

client = NLPCloud::Client.new('<model_name>','<token>')
# Returns a json object.
client.entities("John Doe has been working for Microsoft in Seattle since 1999.")

import (
    "net/http"

    "github.com/nlpcloud/nlpcloud-go"
)

func main() {
    client := nlpcloud.NewClient(&http.Client{}, nlpcloud.ClientParams{Model:"<model_name>", Token:"<token>", 
    GPU:false, Lang:"", Async:false})
    // Returns an Entities struct.
    entities, err := client.Entities(nlpcloud.EntitiesParams{
      Text: "John Doe has been working for Microsoft in Seattle since 1999.",
    })
    ...
}

const NLPCloudClient = require('nlpcloud');

const client = new NLPCloudClient({model:'<model_name>',token:'<token>'})
// Returns an Axios promise with the results.
// In case of success, results are contained in `response.data`. 
// In case of failure, you can retrieve the status code in `err.response.status` 
// and the error message in `err.response.data.detail`.
client.entities({text:'John Doe has been working for Microsoft in Seattle since 1999.'}).then(function (response) {
    console.log(response.data);
  })
  .catch(function (err) {
    console.error(err.response.status);
    console.error(err.response.data.detail);
  });

require 'vendor/autoload.php';

use NLPCloud\NLPCloud;

$client = new \NLPCloud\NLPCloud('<model_name>','<token>');
# Returns a json object.
echo json_encode($client->entities("John Doe has been working for Microsoft in Seattle since 1999."));

{
  "entities": [
    {
      "start": 0,
      "end": 8,
      "type": "PERSON",
      "text": "John Doe"
    },
    {
      "start": 30,
      "end": 39,
      "type": "ORG",
      "text": "Microsoft"
    },
    {
      "start": 43,
      "end": 50,
      "type": "GPE",
      "text": "Seattle"
    },
    {
      "start": 57,
      "end": 61,
      "type": "DATE",
      "text": "1999"
    }
  ]
}