refactor: Update Dockerfile to install Crawl4AI with specified options

README.md

@@ -10,11 +10,10 @@ Crawl4AI simplifies web crawling and data extraction, making it accessible for l
 
 ## Try it Now!
 
-- Use as REST API: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1zODYjhemJ5bUmYceWpVoBMVpd0ofzNBZ?usp=sharing)
-- Use as Python library: This collab is a bit outdated. I'm updating it with the newest versions, so please refer to the website for the latest documentation. This will be updated in a few days, and you'll have the latest version here. Thank you so much. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1wz8u30rvbq6Scodye9AGCw8Qg_Z8QGsk)
-
 ✨ visit our [Documentation Website](https://crawl4ai.com/mkdocs/)
 
+✨ Check [Demo](https://crawl4ai.com/mkdocs/demo)
+
 ## Features ✨
 
 - 🆓 Completely free and open-source
@@ -53,13 +52,32 @@ print(result.markdown)
 ```
 
 ## How to install 🛠 
+
+### Using pip 🐍
 ```bash
 virtualenv venv
 source venv/bin/activate
 pip install "crawl4ai @ git+https://github.com/unclecode/crawl4ai.git"
-```️
+```
 
-### Speed-First Design 🚀
+### Using Docker 🐳
+
+```bash
+# For Mac users (M1/M2)
+# docker build --platform linux/amd64 -t crawl4ai .
+docker build -t crawl4ai .
+docker run -d -p 8000:80 crawl4ai
+```
+
+### Using Docker Hub 🐳
+
+```bash
+docker pull unclecode/crawl4ai:latest
+docker run -d -p 8000:80 unclecode/crawl4ai:latest
+```
+
+
+## Speed-First Design 🚀
 
 Perhaps the most important design principle for this library is speed. We need to ensure it can handle many links and resources in parallel as quickly as possible. By combining this speed with fast LLMs like Groq, the results will be truly amazing.
 

docs/md/installation.md

@@ -2,11 +2,11 @@
 
 There are three ways to use Crawl4AI:
 
-1. As a library (Recommended)
-2. As a local server (Docker) or using the REST API
-3. As a Google Colab notebook.    
+1. As a library (Recommended).
+2. As a local server (Docker) or using the REST API.
+3. As a local server (Docker) using the pre-built image from Docker Hub.
 
-## Library Installation
+## Option 1: Library Installation
 
 Crawl4AI offers flexible installation options to suit various use cases. Choose the option that best fits your needs:
 
@@ -57,7 +57,7 @@ Use this if you plan to modify the source code.
 crawl4ai-download-models
 ```
 
-## Using Docker for Local Server
+## Option 2: Using Docker for Local Server
 
 Crawl4AI can be run as a local server using Docker. The Dockerfile supports different installation options to cater to various use cases. Here's how you can build and run the Docker image:
 
@@ -130,11 +130,62 @@ docker run -d -p 8000:80 crawl4ai:transformer
 
 Choose the installation option that best suits your needs. The default installation is suitable for basic usage, while the other options provide additional capabilities for more advanced use cases.
 
-## Using Google Colab
+## Option 3: Using the Pre-built Image from Docker Hub
+
+You can use pre-built Crawl4AI images from Docker Hub, which are available for all platforms (Mac, Linux, Windows). We have official images as well as a community-contributed image (Thanks to https://github.com/FractalMind):
+
+### Default Installation
+
+```bash
+
+# Pull the image
+
+docker pull unclecode/crawl4ai:latest
+
+# Run the container
+
+docker run -d -p 8000:80 unclecode/crawl4ai:latest
+
+```
+
+### Community-Contributed Image
+
+A stable version of Crawl4AI is also available, created and maintained by a community member:
+
+```bash
+
+# Pull the community-contributed image
+
+docker pull ryser007/crawl4ai:stable
+
+# Run the container
+
+docker run -d -p 8000:80 ryser007/crawl4ai:stable
+
+```
+
+We'd like to express our gratitude to GitHub user [@FractalMind](https://github.com/FractalMind) for creating and maintaining this stable version of the Crawl4AI Docker image. Community contributions like this are invaluable to the project.
 
 
-You can also use Crawl4AI in a Google Colab notebook for easy setup and experimentation. Simply open the following Colab notebook and follow the instructions: 
+### Testing the Installation
 
-    ⚠️ This collab is a bit outdated. I'm updating it with the newest versions, so please refer to the website for the latest documentation. This will be updated in a few days, and you'll have the latest version here. Thank you so much.
+After running the container, you can test if it's working correctly:
+
+- On Mac and Linux:
+
+  ```bash
+
+  curl http://localhost:8000
+
+  ```
+
+- On Windows (PowerShell):
+
+  ```powershell
+
+  Invoke-WebRequest -Uri http://localhost:8000
+
+  ```
+
+  Or open a web browser and navigate to http://localhost:8000
 
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1wz8u30rvbq6Scodye9AGCw8Qg_Z8QGsk)