Update README.md

Author: adilchhabra

README.md

@@ -1,4 +1,6 @@
 # StreamCPI: Framework for Streaming Graph Partitioning
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+
 ## What is **StreamCPI**? 
 **StreamCPI** is a framework for reducing the memory consumption of streaming graph partitioners by **C**ompressing the array of block assignments 
 (**P**artition **I**ndices) used by such partitioners. In particular, StreamCPI utilizes run-length data compression to encode runs of repeating block assignments generated by the streaming partitioner on-the-fly. 
@@ -93,4 +95,4 @@ To partition a generated RGG2D graph using StreamCPI, run
 ./stream_cpi_generated <partition_output_filename> --k=<number of blocks> --rle_length=<mode> --kappa=<scaling factor> --rgg2d --nodes_to_generate=<n> --kagen_r=<radius of RGG graph generation> --kagen_chunk_count=<num. of chunks within which to generate graph>
 ```
 
-Please refer to https://github.com/adilchhabra/KaGen to learn more about the graph generation models and their corresponding parameters. 
+Please refer to https://github.com/adilchhabra/KaGen to learn more about the graph generation models and their corresponding parameters.