added description and links

app.py

@@ -140,11 +140,17 @@ def classify_image(path):
 image = gr.inputs.Image(shape=(224, 224), type="filepath")
 label = gr.outputs.Label(num_top_classes=1)
 
+article = "<p style='text-align: center'><a href='https://' target='_blank'>DesiVisionNet</a> | <a href='https://github.com/kunal-bhadra/DesiVisionNet' target='_blank'>GitHub Repo</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=kunal-bhadra.DesiVisionNet' alt='visitor badge'></center>"
+
 
 gr.Interface(
     fn=classify_image, 
     inputs=image, 
     outputs=label, 
     examples = [["idli.jpg"], ["naan.jpg"]],
-    theme = "darkhuggingface"
+    theme = "huggingface",
+    layout = "horizontal",
+    title = "DesiVisionNet: Desi Food Vision with ResNet",
+    description = "This is a Gradio demo for multi-class image classification of Indian food amongst 20 classes. The DesiVisionNet achieved 90% accuracy on our test dataset, performing well for a relatively efficient model. See the GitHub project page for detailed information below. Here, we provide a demo for real-world food classification. To use it, simply upload your image, or click one of the examples to load them.",
+    article = article
 ).launch()