Fix example

README.md

@@ -48,96 +48,30 @@ poetry add Pylette
 
 Here's how to extract a color palette from an image and work with it in Python:
 
-!!! example "Extracting a Color Palette"
+```python
+from Pylette import extract_colors
 
-    ```python
-    from Pylette import extract_colors
+palette = extract_colors(image='image.jpg', palette_size=10)
+# Access colors by index
+most_common_color = palette[0]
+least_common_color = palette[-1]
 
-    palette = extract_colors(image='image.jpg', palette_size=10)
-    # Access colors by index
-    most_common_color = palette[0]
-    least_common_color = palette[-1]
+# Get color information
+print(most_common_color.rgb)
+print(most_common_color.hls)
+print(most_common_color.hsv)
 
-    # Get color information
-    print(most_common_color.rgb)
-    print(most_common_color.hls)
-    print(most_common_color.hsv)
+# Display the palette, and save the image to file
+palette.display(save_to_file=True)
 
-    # Display the palette, and save the image to file
-    palette.display(save_to_file=True)
+# Save palette's color values to CSV
+palette.to_csv(filename='color_palette.csv', frequency=True)
 
-    # Save palette's color values to CSV
-    palette.to_csv(filename='color_palette.csv', frequency=True)
-
-    # Pick random colors
-    random_color = palette.random_color(N=1, mode='uniform')
-    random_colors = palette.random_color(N=100, mode='frequency')
-    ```
+# Pick random colors
+random_color = palette.random_color(N=1, mode='uniform')
+random_colors = palette.random_color(N=100, mode='frequency')
+```
 
 This will give you a palette of 10 colors, sorted by frequency.
 The image is automatically resized to 256x256 pixels for faster processing.
-See the [reference documentation](https://qtiptip.github.io/Pylette/reference/) for a complete list of available methods and attributes.
-
-## Command Line Tool
-
-Pylette also comes with a handy command-line tool. Here's a quick overview of its usage:
-
-!!! example "Command Line Usage"
-
-    === "Extracting a Color Palette using the CLI"
-
-        ```bash
-        pylette --filename image.jpg --mode KM --n 5 --sort_by luminance --colorspace rgb --display-colors True
-        ```
-
-    === "Options"
-
-        ```bash
-        ╰─❯ pylette --help
-        usage: pylette [-h] (--filename FILENAME | --image-url IMAGE_URL) [--mode {KM,MC}] [--n N] [--sort_by {luminance,frequency}] [--stdout STDOUT] [--colorspace {rgb,hsv,hls}] [--out_filename OUT_FILENAME]
-                       [--display-colors DISPLAY_COLORS]
-
-        options:
-          -h, --help            show this help message and exit
-          --filename FILENAME   path to image file (default: None)
-          --image-url IMAGE_URL
-                                url to the image file (default: None)
-          --mode {KM,MC}        extraction_mode (KMeans/MedianCut (default: KM)
-          --n N                 the number of colors to extract (default: 5)
-          --sort_by {luminance,frequency}
-                                sort by luminance or frequency (default: luminance)
-          --stdout STDOUT       whether to display the extracted color values in the stdout (default: True)
-          --colorspace {rgb,hsv,hls}
-                                color space to represent colors in (default: RGB)
-          --out_filename OUT_FILENAME
-                                where to save the csv file (default: None)
-          --display-colors DISPLAY_COLORS
-                                Open a window displaying the extracted palette (default: False)
-
-        ```
-
-## Example Palettes
-
-A selection of example palettes. Each palette is sorted by luminance (percieved brightness). The top row corresponds to extraction using K-Means, and the bottom row corresponds to Median-Cut extraction.
-
-Original Image  | Extracted Palette
-:--------------:|:-----------------:
-<img src="https://images.unsplash.com/photo-1534535009397-1fb0a46440f1?ixlib=rb-0.3.5&ixid=eyJhcHBfaWQiOjEyMDd9&s=0de8fee9f4e6aa3d55fef987734a0787&auto=format&fit=crop&w=1234&q=80" width=200 height=200> | ![](docs/example_imgs/jason_leung_palette_kmeans.jpg) ![](docs/example_imgs/jason_leung_palette_mediancut.jpg)
-<img src="https://images.unsplash.com/photo-1534547774987-e59593542e1e?ixlib=rb-0.3.5&ixid=eyJhcHBfaWQiOjEyMDd9&s=e8e5af1676517ac1ef8067f97a206415&auto=format&fit=crop&w=1234&q=80" width=200 height=200> | ![](docs/example_imgs/alex_perez_palette_kmeans.jpg)  ![](docs/example_imgs/alex_perez_palette_mediancut.jpg)
-<img src="https://images.unsplash.com/photo-1534537841395-2e594ba9ed4a?ixlib=rb-0.3.5&ixid=eyJhcHBfaWQiOjEyMDd9&s=34ad54d1ba5d88b42abf43219c905c78&auto=format&fit=crop&w=1234&q=80" width=200 height=200> | ![](docs/example_imgs/josh_hild_palette_kmeans.jpg)   ![](docs/example_imgs/josh_hild_palette_mediancut.jpg)
-
-## How Pylette Works
-
-Pylette uses various color quantization algorithms to extract the most representative colors from your images.
-Currently, it supports:
-
-1. K-Means clustering
-2. Median-Cut algorithm
-
-## We'd Love Your Feedback And Contributions!
-
-Pylette is an ongoing project, and we're always looking to improve it.
-If you have any suggestions, questions, or just want to share how you're using Pylette, please don't hesitate to reach
-out, or make a pull request on our GitHub repository.
-
-Happy color extracting!
+See the [documentation](https://qtiptip.github.io/Pylette) for a complete list of available methods and attributes.