Update README.md

README.md

@@ -1,35 +1,3 @@
-# Image-Search-Engine
-Content-Based Image Retrieval System Implemented Using Python, Flask And OpenCV.
-* Given a query image, this app returns other images from database in order of similar color content.
-* Uses a color histogram to define the color content of an image, uses chi-squared distance to determine
-how similar two image histograms are.
-
-## Usage Guide
-1. To use a different image dataset (optional)
-    * Populate image DB in `app/static/images`
-    * Then in Terminal: 
-      ```bash
-      >> python3 -m venv venv
-      >> source venv/bin/activate
-      >> pip install -r requirements.txt
-      >> cd app
-      >> python index.py --dataset static/images --index index.csv
-      ```
-
-2. Run locally using Docker
-    * Install [Docker](https://docs.docker.com/install/#supported-platforms)
-    * Then in Terminal:
-      ```bash
-      >> docker build --tag=imagesearch .
-      >> docker run -p 80:8000 imagesearch
-      ```
-* You should be able to access app at `localhost:80` in browser
-
-
-### Sources
-* [pyimagesearch.com](https://www.pyimagesearch.com/start-here-learn-computer-vision-opencv/)
-* [flask docs](http://flask.pocoo.org)
-* [content-based image retrieval](https://en.wikipedia.org/wiki/Content-based_image_retrieval)
-
-
-Project was made possible thanks to the many guides provided by [@Adrian Rosebrock](https://twitter.com/pyimagesearch) on [pyimagesearch.com](https://www.pyimagesearch.com/start-here-learn-computer-vision-opencv/)
+---
+app_file: app.py
+---