last changes before official v1.0.0 release

Author: splovyt

README.md

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

config.py

@@ -7,18 +7,18 @@
 
 # API metadata
 API_TITLE = 'MAX Image Resolution Enhancer'
-API_DESC = 'Upscale low-resolution images by a factor of 4x. This model was trained on the OpenImagesV4 dataset.'
-API_VERSION = '0.1'
+API_DESC = 'Upscale low-resolution images by a factor of 4. This model was trained on the OpenImagesV4 dataset.'
+API_VERSION = '1.0.0'
 
 # default model
 MODEL_NAME = 'SRGAN'
 DEFAULT_MODEL_PATH = 'assets/SRGAN/model'
 
 MODEL_META_DATA = {
-    'id': '{}_tensorflow'.format(MODEL_NAME.lower()),
+    'id': 'max-image-resolution-enhancer',
     'name': 'Super-Resolution Generative Adversarial Network (SRGAN)',
     'description': 'SRGAN trained on the OpenImagesV4 dataset.',
     'type': 'Image-To-Image Translation Or Transformation',
-    'source': 'https://developer.ibm.com/exchanges/models',
-    'license': 'ApacheV2'
+    'source': 'https://developer.ibm.com/exchanges/models/all/max-image-resolution-enhancer/',
+    'license': 'Apache V2'
 }

tests/test.py

@@ -27,10 +27,10 @@ def test_metadata():
     assert r.status_code == 200
 
     metadata = r.json()
-    assert metadata['id'] == 'srgan_tensorflow'
+    assert metadata['id'] == 'max-image-resolution-enhancer'
     assert metadata['name'] == 'Super-Resolution Generative Adversarial Network (SRGAN)'
     assert metadata['description'] == 'SRGAN trained on the OpenImagesV4 dataset.'
-    assert metadata['license'] == 'ApacheV2'
+    assert metadata['license'] == 'Apache V2'
 
 
 def call_model(file_path):