Add speech synthesis.

README.md

@@ -385,6 +385,16 @@ client.sentiment("<Your block of text>")
 
 The above command returns a JSON object.
 
+### Speech Synthesis Endpoint
+
+Call the `speech_synthesis()` method and pass the text you want to convert to audio:
+
+```python
+client.speech_synthesis("<Your block of text>")
+```
+
+The above command returns a JSON object.
+
 ### Summarization Endpoint
 
 Call the `summarization()` method and pass the text you want to summarize.

nlpcloud/__init__.py

@@ -440,6 +440,22 @@ def sentiment(self, text):
 
         return r.json()
 
+    def speech_synthesis(self, text, voice=None):
+        payload = {
+            "text": text,
+            "voice": voice
+        }
+
+        r = requests.post(
+            "{}/{}".format(self.root_url, "speech-synthesis"), json=payload, headers=self.headers)
+
+        try:
+            r.raise_for_status()
+        except HTTPError as err:
+            raise HTTPError(str(err) + ": " + str(r.text))
+
+        return r.json()
+
     def summarization(self, text, size=None):
         payload = {
             "text": text,

setup.py

@@ -2,9 +2,9 @@
 
 setup(
     name='nlpcloud',
-    version='1.0.40',
+    version='1.0.41',
     description='Python client for the NLP Cloud API',
-    long_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, image generation, blog post generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.\n\nThis is the Python client for the API.\n\nMore details here: https://nlpcloud.io\n\nDocumentation: https://docs.nlpcloud.io\n\nGithub: https://github.com/nlpcloud/nlpcloud-python",
+    long_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, image generation, blog post generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.\n\nThis is the Python client for the API.\n\nMore details here: https://nlpcloud.io\n\nDocumentation: https://docs.nlpcloud.io\n\nGithub: https://github.com/nlpcloud/nlpcloud-python",
     packages=['nlpcloud'],
     author='Julien Salinas',
     author_email='all@juliensalinas.com',