last changes before the v1.0.0 release

Author: splovyt

README.md

@@ -1,4 +1,4 @@
-[![Build Status](https://travis-ci.com/IBM/MAX-Text-Sentiment-Classifier.svg?branch=master)](https://travis-ci.com/IBM/MAX-Text-Sentiment-Classifier) 
+[![Build Status](https://travis-ci.com/IBM/MAX-Text-Sentiment-Classifier.svg?branch=master)](https://travis-ci.com/IBM/MAX-Text-Sentiment-Classifier) [![API demo](https://img.shields.io/website/http/max-text-sentiment-classifier.max.us-south.containers.appdomain.cloud/swagger.json.svg?label=API%20demo&down_message=down&up_message=up)](http://max-text-sentiment-classifier.max.us-south.containers.appdomain.cloud/)
 
 # IBM Developer Model Asset Exchange: Text Sentiment Classifier
 

config.py

@@ -7,20 +7,20 @@
 
 # API metadata
 API_TITLE = 'MAX Text Sentiment Classifier'
-API_DESC = 'Detect the sentiment of an input string. ' \
+API_DESC = 'Detect the sentiment captured in short pieces of text. ' \
            'The model was finetuned on the IBM Project Debater Claim Sentiment dataset.'
-API_VERSION = '0.1'
+API_VERSION = '1.0.0'
 
 # default model
 MODEL_NAME = 'sentiment_BERT_base_uncased'
 DEFAULT_MODEL_PATH = 'assets/{}'.format(MODEL_NAME)
 
 # the metadata of the model
 MODEL_META_DATA = {
-    'id': '{}_tensorflow'.format(MODEL_NAME.lower()),
+    'id': 'max-text-sentiment-classifier',
     'name': 'Bert Base Uncased TensorFlow Model',
     'description': 'BERT Base finetuned on the IBM Project Debater Claim Sentiment dataset.',
     'type': 'Text Classification',
-    'source': 'https://developer.ibm.com/exchanges/models',
-    'license': 'ApacheV2'
+    'source': 'https://developer.ibm.com/exchanges/models/all/max-text-sentiment-classifier/',
+    'license': 'Apache V2'
 }

tests/test.py

@@ -23,10 +23,10 @@ def test_metadata():
     assert r.status_code == 200
 
     metadata = r.json()
-    assert metadata['id'] == 'sentiment_bert_base_uncased_tensorflow'
+    assert metadata['id'] == 'max-text-sentiment-classifier'
     assert metadata['name'] == 'Bert Base Uncased TensorFlow Model'
     assert metadata['description'] == 'BERT Base finetuned on the IBM Project Debater Claim Sentiment dataset.'
-    assert metadata['license'] == 'ApacheV2'
+    assert metadata['license'] == 'Apache V2'
     assert metadata['type'] == 'Text Classification'
     assert 'developer.ibm.com' in metadata['source']