Upload folder using huggingface_hub

app.py

@@ -60,12 +60,9 @@ def inference(image):
 # Gradio interface setup
 title = "Open Remove Background Model (ormbg)"
 description = r"""
-This model is a <strong>fully open-source background remover</strong> optimized for images with humans.
-It is based on [Highly Accurate Dichotomous Image Segmentation research](https://github.com/xuebinqin/DIS).
+This model is a <strong>fully open-source background remover</strong> optimized for images with humans. It is based on [Highly Accurate Dichotomous Image Segmentation research](https://github.com/xuebinqin/DIS). The model was trained with the synthetic [Human Segmentation Dataset](https://huggingface.co/datasets/schirrmacher/humans). A dataset crafted with [LayerDiffuse](https://github.com/layerdiffusion/LayerDiffuse) and [IC-Light](https://github.com/lllyasviel/IC-Light).
 
-The model was trained with the synthetic [Human Segmentation Dataset](https://huggingface.co/datasets/schirrmacher/humans). A dataset crafted with [LayerDiffuse](https://github.com/layerdiffusion/LayerDiffuse) and [IC-Light](https://github.com/lllyasviel/IC-Light).
-
-<img src="file/explanation.jpg" style="width:50%;height:auto;">
+<img src="file/explanation.jpg" style="width:30%;height:auto;">
 
 This is the first iteration of the model, so there will be improvements!
 If you identify cases where the model fails, <a href='https://huggingface.co/schirrmacher/ormbg/discussions' target='_blank'>upload your examples</a>!