Implement the code generation and article generation endpoints.

Author: Julien Salinas

README.md

@@ -2,7 +2,7 @@
 
 This is the PHP client for the [NLP Cloud](https://nlpcloud.io) API. See the [documentation](https://docs.nlpcloud.io) for more details.
 
-NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.
+NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, blog post generation, code generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.
 
 You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
 
@@ -137,7 +137,7 @@ use NLPCloud\NLPCloud;
 $client = new \NLPCloud\NLPCloud('<model>','<your token>', false, '<your language code>');
 ```
 
-### Product Description and Ad Generation
+### Ad Generation And Product Description Endpoint
 
 Call the `adGeneration()` method and pass a list of keywords you want to generate you product description or ad from.
 
@@ -147,7 +147,17 @@ $client->adGeneration(["Keyword 1", "Keyword 2", "Keyword 3", ...])
 
 The above command returns a JSON object.
 
-### Chatbot
+### Article Generation Endpoint
+
+Call the `articleGeneration()` method and pass the title of the blog post your want to generate:
+
+```php
+$client.articleGeneration("<Your title>")
+```
+
+The above command returns a JSON object.
+
+### Chatbot Endpoint
 
 Call the `chatbot()` method and pass your input. As an option, you can also pass a conversation history that is an array of named arrays. Each named array is made of an `input` and a `response` from the chatbot.
 
@@ -171,6 +181,16 @@ $client->classification("<Your block of text>", ["label 1", "label 2", ...], Tru
 
 The above command returns a JSON object.
 
+### Code Generation Endpoint
+
+Call the `codeGeneration()` method and pass the description of your program:
+
+```php
+$client.codeGeneration("<Your instruction>")
+```
+
+The above command returns a JSON object.
+
 ### Dependencies Endpoint
 
 Call the `dependencies()` method and pass the text you want to perform part of speech tagging (POS) + arcs on.

composer.json

@@ -1,6 +1,6 @@
 {
     "name": "nlpcloud/nlpcloud-client",
-    "description": "NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the PHP client for the API. More details here: https://nlpcloud.io. Documentation: https://docs.nlpcloud.io. Github: https://github.com/nlpcloud/nlpcloud-php",
+    "description": "NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, blog post generation, code generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the PHP client for the API. More details here: https://nlpcloud.io. Documentation: https://docs.nlpcloud.io. Github: https://github.com/nlpcloud/nlpcloud-php",
     "homepage": "http://github.com/nlpcloud/nlpcloud-php",
     "license": "MIT",
     "keywords": [

src/NLPCloud.php

@@ -48,6 +48,24 @@ public function ad_generation($keywords)
         return $response->body;
     }
 
+    public function articleGeneration($title)
+    {
+        $payload = array(
+            'title' => $title
+        );
+        $response = \Httpful\Request::post($this->rootURL . '/' . 'article-generation', $payload)
+            ->expectsJson()
+            ->sendsJson()
+            ->addHeaders($this->headers)
+            ->send();
+
+        if ($response->code != 200) {
+            throw new \Exception($response->code . ': ' . $response->body->detail);
+        }
+
+        return $response->body;
+    }
+
     public function chatbot($input, $history = NULL)
     {
         $payload = array(
@@ -87,6 +105,24 @@ public function classification($text, $labels = NULL, $multiClass = True)
         return $response->body;
     }
 
+    public function codeGeneration($instruction)
+    {
+        $payload = array(
+            'instruction' => $instruction
+        );
+        $response = \Httpful\Request::post($this->rootURL . '/' . 'code-generation', $payload)
+            ->expectsJson()
+            ->sendsJson()
+            ->addHeaders($this->headers)
+            ->send();
+
+        if ($response->code != 200) {
+            throw new \Exception($response->code . ': ' . $response->body->detail);
+        }
+
+        return $response->body;
+    }
+
     public function dependencies($text)
     {
         $payload = array(