Update app.py

app.py

@@ -33,6 +33,8 @@ description = """This is a demo on 🧨 ControlNet based on Meta's [Segment Anyt
 
                 
                 A huge thanks goes out to @Google Cloud, for providing us with powerful TPUs that enabled us to train this model; and to the @HuggingFace Team for organizing the sprint.
+
+                Check out our [Model Card 🧨](https://huggingface.co/mfidabel/controlnet-segment-anything)
               """
 
 about = """
@@ -40,7 +42,7 @@ about = """
 
         # 👨‍💻 About the model
 
-        This model is based on the [ControlNet Model](https://huggingface.co/blog/controlnet), which allow us to generate Images using some sort of condition image. For this model, we selected the segmentation maps produced by Meta's new segmentation model called [Segment Anything Model](https://github.com/facebookresearch/segment-anything) as the condition image. We then trained the model to generate images based on the structure of the segmentation maps and the text prompts given.
+        This [model](https://huggingface.co/mfidabel/controlnet-segment-anything) is based on the [ControlNet Model](https://huggingface.co/blog/controlnet), which allow us to generate Images using some sort of condition image. For this model, we selected the segmentation maps produced by Meta's new segmentation model called [Segment Anything Model](https://github.com/facebookresearch/segment-anything) as the condition image. We then trained the model to generate images based on the structure of the segmentation maps and the text prompts given.
 
 
         # 💾 About the dataset