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app.py

@@ -65,7 +65,7 @@ It is based on [Highly Accurate Dichotomous Image Segmentation research](https:/
 
 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" alt="Open Background Remover Model" style="width:100%;height:auto;">
+<img src="explanation.jpg" style="width:100%;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>!
@@ -87,4 +87,4 @@ demo = gr.Interface(
 )
 
 if __name__ == "__main__":
-    demo.launch(share=False)
+    demo.launch(share=False, allowed_paths="./")