Update app.py

app.py

@@ -2,6 +2,17 @@ import gradio as gr
 from transformers import BlipProcessor, BlipForConditionalGeneration
 from PIL import Image
 
+
+MARKDOWN = """
+# Blip fine-tuned on chest xray images 🔥
+<div>
+    <a href="https://github.com/UmarIgan/Machine-Learning/blob/master/examples/image_captioning_blip.ipynb">
+        <img src="https://d3i71xaburhd42.cloudfront.net/a3b42a83669998f65df60d7c065a70d07ca95e99/1-Figure1-1.png" alt="GitHub" style="display:inline-block;">
+    </a>
+</div>
+
+"""
+
 # Load the model and processor
 processor = BlipProcessor.from_pretrained("umarigan/blip-image-captioning-base-chestxray-finetuned")
 model = BlipForConditionalGeneration.from_pretrained("umarigan/blip-image-captioning-base-chestxray-finetuned")