Update app.py

app.py

@@ -62,8 +62,6 @@ def set_example_url(example: list) -> dict:
 
 title = """<h1 id="title">Plant Health Classification with ViT</h1>"""
 
-gr.Markdown('''![alt text](images/sickie.png "Title")''')
-
 description = """
 This Plant Health classifier app was built to detect the health of plants using images of leaves by fine-tuning a Vision Transformer (ViT) [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the [Beans](https://huggingface.co/datasets/beans) dataset.
 The finetuned model has an accuracy of 98.4% on the test (unseen) dataset and 100% on the validation dataset.
@@ -92,6 +90,7 @@ demo = gr.Blocks(css=css)
 
 with demo:
     gr.Markdown(title)
+    gr.Image('image/Healthy.png',label = 'Healthy')
     gr.Markdown(description)
     gr.Markdown(twitter_link)