add github link

gradio_app.py

@@ -11,7 +11,7 @@ nltk.download('averaged_perceptron_tagger')
 from main import LPMConfig, main, setup
 
 DESCRIPTION = '''# Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
-This is a demo for our ''Localizing Object-level Shape Variations with Text-to-Image Diffusion Models'' [paper](https://arxiv.org/abs/2303.11306).
+This is a demo for our ''Localizing Object-level Shape Variations with Text-to-Image Diffusion Models'' [paper](https://arxiv.org/abs/2303.11306). Code is available [here](https://github.com/orpatashnik/local-prompt-mixing)
 We introduce a method that generates object-level shape variation for a given image. 
 This demo supports both generated images and real images. To modify a real image, please upload it to the input image block and provide a prompt that describes its contents.