Update README.md

README.md

@@ -27,9 +27,19 @@ To evaluate artistic style removal, we conduct experiments erasing five modern a
 
 Given only a short text description of an undesired visual concept and no additional data, our method fine-tunes model weights to erase the targeted concept. Our method can avoid NSFW content, stop imitation of a specific artist's style, or even erase a whole object class from model output, while preserving the model's behavior and capabilities on other topics.
 
-## Fine-tuned Weights
+## Demo vs github
 
-The finetuned weights for both NSFW and art style erasures are available on our [project page](https://erasing.baulab.info).
+This demo uses an updated implementation from the original Erasing codebase the publication is based from.
+
+## Running locally
+
+1.) Create an environment using the packages included in the requirements.txt file
+
+2.) Run `python app.py`
+
+3.) Open the application in browser at `http://127.0.0.1:7860/`
+
+4.) Train, evaluate, and save models using our method
 
 ## Citing our work
 The preprint can be cited as follows