Add the searched_entity parameter to NER.

README.md

@@ -164,7 +164,7 @@ Call the `question()` method and pass the following:
 1. Your question
 
 ```python
-client.question("<Your context>", "<Your question>")
+client.question("<Your question>", "<Your context>")
 ```
 
 The above command returns a JSON object.

nlpcloud/__init__.py

@@ -22,9 +22,10 @@ def __init__(self, model, token, gpu=False, lang=""):
         else:
             self.root_url = "{}/{}/{}".format(BASE_URL, API_VERSION, model)
 
-    def entities(self, text):
+    def entities(self, text, searched_entity=None):
         payload = {
-            "text": text
+            "text": text,
+            "searched_entity": searched_entity
         }
 
         r = requests.post(

setup.py

@@ -2,7 +2,7 @@
 
 setup(
     name='nlpcloud',
-    version='1.0.22',
+    version='1.0.23',
     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, 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.\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'],