Update README.md

README.md

@@ -19,22 +19,22 @@ git checkout f7c6c04
 
 ### Install Dependencies
 
-The author has not provided requirements.txt file, but `environment.yml` from our conda environment has been uploaded, This file can be used to recreate environment for Suryolo model.
+The author has not provided requirements.txt file, but `environment.yml` from our conda environment has been uploaded, This file can be used to recreate environment for arabic_layout_model model.
 
 
 ### Suryolo Pipeline 
 
-Download `surya_yolo_pipeline_copy.cpython-310-x86_64-linux-gnu.so` , `yolov10x_best.pt` and `surya folder` from the Repository.
-Place `surya_yolo_pipeline_copy.cpython-310-x86_64-linux-gnu.so`, `yolov10x_best.pt` and `surya folder` in same directory (They are dependent on each other).
+Download `ArabicDoc.cpython-310-x86_64-linux-gnu.so` , `10x_best.pt` and `surya folder` from the Repository.
+Place `ArabicDoc.cpython-310-x86_64-linux-gnu.so`, `10x_best.pt` and `surya folder` in same directory (They are dependent on each other).
 
 ```python
-from surya_yolo_pipeline_copy import suryolo # This import will originate from surya_yolo_pipeline_copy.cpython-310-x86_64-linux-gnu.so , which is present in the repo. Also this works with Linux based OS only.
+from ArabicDoc import arabic_layout_model # This import will originate from ArabicDoc.cpython-310-x86_64-linux-gnu.so , which is present in the repo. Also this works with Linux based OS only.
 from surya.postprocessing.heatmap import draw_bboxes_on_image
 from PIL import Image
 
 image_path = "sample.jpg"
 image  = Image.open(image_path)
-bboxes = suryolo(image_path)
+bboxes = arabic_layout_model(image_path)
 plotted_image  = draw_bboxes_on_image(bboxes,image)
 ```
 #### Refer to `benchmark.ipynb` for comparison between Traditional Surya Layout Model and Suryolo Layout Model.