Migrate COS assets (#13)

* Migrate COS assets

* Update Dockerfile

Co-Authored-By: Brendan Dwyer <brendan.dwyer@ibm.com>

Dockerfile

@@ -16,7 +16,7 @@
 
 FROM codait/max-base:v1.1.3
 
-ARG model_bucket=http://max-assets.s3.us.cloud-object-storage.appdomain.cloud/max-text-sentiment-classifier/1.0
+ARG model_bucket=https://s3.us-south.cloud-object-storage.appdomain.cloud/max-assets-prod/max-text-sentiment-classifier/1.0.0
 ARG model_file=assets.tar.gz
 
 RUN wget -nv --show-progress --progress=bar:force:noscroll ${model_bucket}/${model_file} --output-document=assets/${model_file} && \

README.md

@@ -7,7 +7,7 @@
 This repository contains code to instantiate and deploy a text sentiment classifier. This model is able to detect whether a text fragment leans towards a positive or a negative sentiment. Optimal input examples for this model are short strings (preferably a single sentence) with correct grammar, although not a requirement.
 
 The model is based on the [pre-trained BERT-Base, English Uncased](https://github.com/google-research/bert/blob/master/README.md) model and was finetuned on the [IBM Claim Stance Dataset](http://www.research.ibm.com/haifa/dept/vst/debating_data.shtml). The model files are hosted on
-[IBM Cloud Object Storage](http://max-assets.s3.us.cloud-object-storage.appdomain.cloud/max-text-sentiment-classifier/1.0/assets.tar.gz).
+[IBM Cloud Object Storage](http://s3.us-south.cloud-object-storage.appdomain.cloud/max-assets-prod/max-text-sentiment-classifier/1.0.0/assets.tar.gz).
 The code in this repository deploys the model as a web service in a Docker container. This repository was developed
 as part of the [IBM Developer Model Asset Exchange](https://developer.ibm.com/exchanges/models/) and the public API is powered by [IBM Cloud](https://ibm.biz/Bdz2XM).
 

assets/README.md

@@ -4,7 +4,7 @@
 
 The original pre-trained model files are from the [BERT](https://github.com/google-research/bert) repository, where they are available under [Apache 2.0](https://github.com/google-research/bert/blob/master/LICENSE). This pre-trained model was then finetuned on the [IBM Claim Stance Dataset](http://www.research.ibm.com/haifa/dept/vst/debating_data.shtml).
 
-_Note: the finetuned model files are hosted on [IBM Cloud Object Storage](http://max-assets.s3.us.cloud-object-storage.appdomain.cloud/max-text-sentiment-classifier/1.0/assets.tar.gz)._
+_Note: the finetuned model files are hosted on [IBM Cloud Object Storage](http://s3.us-south.cloud-object-storage.appdomain.cloud/max-assets-prod/max-text-sentiment-classifier/1.0.0/assets.tar.gz)._
 
 ## Test Examples (assets/test-examples.tsv)