chore: 📝 update readme

README.md

@@ -1,26 +1,17 @@
-## Website which convert speech to text by Whisper model ([Official Repo](https://github.com/openai/whisper))
+## Docker image builder based on ([Kabanosk Repo](https://github.com/Kabanosk/whisper-website))
 
-## Hosting website on localhost:
+[![Docker Image CI](https://github.com/FilippeMafra/whisper-website/actions/workflows/docker-image.yml/badge.svg)](https://github.com/FilippeMafra/whisper-website/actions/workflows/docker-image.yml)
 
-1. Clone the repo - `git clone [email protected]:Kabanosk/whisper-website.git`
-2. Go to repo directory - `cd whisper-website`
-3. Create virtual environment - `python3 -m venv venv`
-4. Activate the environment - `source venv/bin/activate`/`. venv/bin/activate`
-5. Install requirements - `pip install -r requirements.txt`
-6. Go to src directory - `cd src`
-7. Run the `run.py` file - `python3 run.py`
-8. Go to your browser and type `http://127.0.0.1:8000/` if the browser doesn't open
+## Using the image:
 
-## Run website on localhost with Docker
-### First time
-1. Install [Docker](https://docs.docker.com/engine/install/)
-2. Clone the repo - `git clone [email protected]:Kabanosk/whisper-website.git`
-3. Go to repo directory - `cd whisper-website`
-4. Create Docker image - `docker build -t app .`
-5. Run Docker container - `docker run --name app_container -p 80:80 app`
-6. Go to your browser and type `http://127.0.0.1:80/`
+Command Line:
 
-### Next time
+```
+docker pull ghcr.io/filippemafra/whisper-website:main
+```
 
-1. Start your Docker container - `docker start app_container`
-2. Go to your browser and type `http://127.0.0.1:80/`
+Dockerfile:
+
+```
+FROM ghcr.io/filippemafra/whisper-website:main
+```