Update README.md

Author: chcost

README.md

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 [![License](https://img.shields.io/badge/license-Apache--2.0-blue.svg)](http://www.apache.org/licenses/LICENSE-2.0)
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+Status](https://travis.ibm.com/codeflare/codeflare.svg?token=jYGqz8UKPqjxGaHzGAAi&branch=develop)](https://travis.ibm.com/codeflare/codeflare) 
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+https://travis.ibm.com/codeflare/codeflare.svg?token=jYGqz8UKPqjxGaHzGAAi&branch=develop
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 ## Scale complex AI/ML pipelines anywhere
 
 CodeFlare is a framework to simplify the integration, scaling and acceleration of complex multi-step analytics and machine learning pipelines on the cloud.
 
 Building on a unified distributed runtime with [Ray](https://github.com/ray-project/ray), CodeFlare enables:
 
 * **Pipeline execution and scaling**:
-CodeFlare Pipelines facilities the definition and parallel execution of pipelines. It unifies pipeline workflows across multiple platforms, while providing nearly optimal scale-out parallelism on pipelined computations.
+CodeFlare Pipelines facilities the definition and parallel execution of pipelines. It unifies pipeline workflows across multiple frameworks, while providing nearly optimal scale-out parallelism on pipelined computations.
 <!--CodeFlare Pipelines facilities the definition and parallel execution of pipelines. It unifies pipeline workflows across multiple platforms such as [scikit-learn](https://scikit-learn.org/) and [Apache Spark](https://spark.apache.org/), while providing nearly optimal scale-out parallelism on pipelined computations.-->
 
 * **Deploy and integrate anywhere**: