Update README.md

README.md

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-# Cartoonizer
-
-> Convert images and videos into a cartoon!
-
-The webapp is deployed here - https://cartoonize-lkqov62dia-de.a.run.app
-<div style="text-align:center"><img height="100" alt="Powered by Algorithmia" style="border-width:0" src="static/sample_images/algorithmia.jpeg" /></div>
-
-You can find a writeup on this webapp's architecture [here](https://medium.com/@Niraj_pandkar/how-we-built-an-inexpensive-scalable-architecture-to-cartoonize-the-world-8610050f90a0)!
-
 ---
-
-## Contents
-
-- [Prerequisites for Google Cloud and Algorithmia](#prerequisites-for-google-cloud-and-algorithmia)
-- [Installation](#installation)
-  - [Docker](#using-docker)
-  - [VirtualEnv](#using-virtualenv)
-  - [Google Colab](#using-google-colab)
-- [Sample Image and Video](#sample-image-and-video)
-
----
-
-## Prerequisites for Google Cloud and Algorithmia
-
-**These are important steps if you want to leverage Google buckets, signed URLs and Algorithmia's platform. Skip this if you want to run locally / colab.**
-
-### Cloud Run authentication
-To use any functionalities pertaining to Google Cloud, you'll need a global authentication file (JSON). You can obtain this JSON by following the steps given here - [Getting started with authentication](https://cloud.google.com/docs/authentication/getting-started)
-
-After you get the JSON file, rename it to `token.json` (so that it's compatible with the codebase). 
-
-Set the environment variable in your terminal -
-```
-export GOOGLE_APPLICATION_CREDENTIALS="/path/to/token.json"
-```
-**Notes**:
-- You can set it permanently by adding this line to `~/.bashrc`.
-- `Dockerfile` already includes the setting of this particular environment variable. :)
-
-
-### Algorithmia
-We used the Serveless AI Layer product of [Algorithmia](https://algorithmia.com/serverless-ai-layer) for inference on videos.
-To learn more on how to deploy your model in Algorithmia, check here - https://algorithmia.com/developers
-
----
-
-## Installation
-
-### Application tested on:
-
-- python 3.7
-- tensorflow 2.1.0 
-- tf_slim 1.1.0
-- ffmpeg 3.4.8
-- Cuda version 10.1
-- OS: Linux (Ubuntu 18.04)
-
-### Using Docker
-
-The easiest way to get the webapp running is by using the Dockerfile:
-
-1. `cd` into the root directory and build the image
-```
-docker build -t cartoonize .
-```
-**Note**: Set the appropriate values in `config.yaml` before building the image.
-
-2. Run the container by exposing the appropriate ports
-```
-docker run -p 8080:8080 cartoonize
-```
-
-
-### Using `virtualenv`
-
-1. Make a virtual environment using `virutalenv` and activate it
-```
-virtualenv -p python3 cartoonize
-source cartoonize/bin/activate
-```
-2. Install python dependencies
-```
-pip install -r requirements.txt
-```
-3. Run the webapp. Be sure to set the appropriate values in `config.yaml` file before running the application.
-```
-python app.py
-```
-
-### Using [Google Colab](https://colab.research.google.com/drive/1oDhMEVMcsRbe7bt-2A7cDsx44KQpQwuB?usp=sharing)
-1. Clone the repository using either of the below mentioned way:
-   - Using Command:
-        - Create a new Notebook in Colab and in the cell execute the below command.  
-        
-        ```
-         ! git clone https://github.com/experience-ml/cartoonize.git
-        ```
-        **Note:** Don't forget to add `!` at the beginning of the command
-        
-    - From Colab User Interface
- ```
-        Open Colab
-            └── File
-                 └── Open Notebook
-                          └── Github
-                                └── paste the Url of the repository
- ```
- Note :  Before running the application change the runtime to GPU for processing videos but you for images CPU shall also work just fine.
- ```
-            Runtime
-               └── Change runtime type
-                           └── Select GPU
- ```
-2. After cloning the repository navigate to the `/cartoonize` using below command in the notebook cell:
-
-   ```
-   %cd cartoonize
-   ```
-3. Run the below commands in the notebook cell to install the requirements. 
-
-   ```
-   !pip install -r requirements.txt
-   ```
-
-
-4. In config.yaml file set: 
-
-   ``` 
-   colab-mode: true 
-   ``` 
-   
-5. Launch the flask app on ngrok
-
-   ```
-   !python app.py
-   ```
-
-#### Note : Sample [Google Colab Notebook](https://colab.research.google.com/drive/1oDhMEVMcsRbe7bt-2A7cDsx44KQpQwuB?usp=sharing) for reference
-
----
-
-## Sample Image and Video
-
-### Emma Watson Cartoonized
-<img alt="Emma Watson Cartoonized" style="border-width:0" src="static/sample_images/twitter_image.png" />
-
-### Youtube Video of Avenger's Bar Scene Cartoonized
-[![Cartoonized version of Avenger's bar scene](http://img.youtube.com/vi/GqduSLcmhto/0.jpg)](http://www.youtube.com/watch?v=GqduSLcmhto "AVENGERS BAR SCENE [Cartoonized Version]")
-
----
-
-## License
-
-1. Copyright © Cartoonizer ([Demo webapp](https://cartoonize-lkqov62dia-de.a.run.app/))
-
-    - Authors: [Niraj Pandkar](https://twitter.com/Niraj_pandkar) and [Tejas Mahajan](https://twitter.com/tjdevWorks).
-
-    - Licensed under the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) 
-    - Commercial application is prohibited by license
-
-
-2. Copyright (C) Xinrui Wang, Jinze Yu. ([White box cartoonization](https://github.com/SystemErrorWang/White-box-Cartoonization))
-    - All rights reserved. 
-    - Licensed under the CC BY-NC-SA 4.0 
-    - Also, Commercial application is prohibited license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
+license: mit
+title: Cartoonize
+sdk: static
+emoji: 🔥
+colorFrom: green
+colorTo: blue
+---