Added automated release workflow for all commit tags

.github/workflows/release.yaml

@@ -1,7 +1,8 @@
 # Name of the workflow
 name: Release
 
-# Run on every commit tag which begins with "v" (e.g., "v1.0.0")
+# Run on every commit tag which begins with `v - version number` 
+# (e.g., "v1.0.0")
 on:
   push:
     tags:

README.md

@@ -1,6 +1,6 @@
 # Deploying an end-to-end keyword spotting model into cloud server using Flask and Docker with CI/CD pipeline
 
-This project promulgates a `pipeline` that `trains` end-to-end keyword spotting models using input audio files, `tracks` experiments by logging the model artifacts, parameters and metrics, `build` them as a web application followed by `dockerizing` them into a container and deploys the application containing trained model artifacts as a docker container into the cloud server with `CI/CD` integration and releases.
+This project promulgates a `pipeline` that `trains` end-to-end keyword spotting models using input audio files, `tracks` experiments by logging the model artifacts, parameters and metrics, `build` them as a web application followed by `dockerizing` them into a container and deploys the application containing trained model artifacts as a docker container into the cloud server with `CI/CD` integration and automated releases.
 
 ## Author
 
@@ -42,7 +42,7 @@ MLOps is a budding field that productionalize ML models. `ML/DL` being a core re
 
 ## Description
 
-The project is a concoction of `research` (audio signal processing, keyword spotting, ASR), `development` (audio data processing, deep neural network training, evaluation) and `deployment` (building model artifacts, web app development, docker, cloud PaaS) with integrating `CI/CD` pipelines.
+The project is a concoction of `research` (audio signal processing, keyword spotting, ASR), `development` (audio data processing, deep neural network training, evaluation) and `deployment` (building model artifacts, web app development, docker, cloud PaaS) with integrating `CI/CD` pipelines and automated releases.
 
 | ![flowchart](./images/KWS_flowchart_main.JPG) |
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