update text for models

app.py

@@ -164,7 +164,7 @@ with gr.Blocks() as demo:
         You can use this to test out [image classification models](https://huggingface.co/models?pipeline_tag=image-classification) on the Hugging Face Hub:
         - To use this tab you will need to have a Hugging Face account and a valid token. 
         - You can get a token from your [Hugging Face account page](https://huggingface.co/settings/token). 
-        - Input this token into the token box and then input a valid image classification model id from the Hub. For example `microsoft/resnet-50`
+        - Input this token into the token box and then input a valid image classification model id from the Hub. For example `microsoft/resnet-50`. You can use the [Hub]((https://huggingface.co/models?pipeline_tag=image-classification) to find suitable models.
         
         This tab uses Hugging Face's [Inference API](https://huggingface.co/docs/api-inference/index) to make predictions. It will randomly select 10 images from your dataset and make predictions on them using your chosen model.
         **Please note** the predictions will take some time since the model needs to be loaded for inference first. If you make a second batch of prediction using the same model the predictions should be quicker."""