Update app.py

app.py

@@ -3,7 +3,7 @@ from transformers import pipeline
 from PIL import Image
 import requests
 
-# Load pre-trained model
+# Load pre-trained model for cancer image classification
 classifier = pipeline("image-classification", model="Anwarkh1/Skin_Cancer-Image_Classification")
 
 def classify_image(image):
@@ -20,7 +20,7 @@ def fetch_research():
     papers = response.json().get("data", [])
     return "\n".join([f"{paper['title']}: {paper['url']}" for paper in papers])
 
-# Interface
+# Gradio Interface
 with gr.Blocks() as demo:
     gr.Markdown("# AI-Powered Universal Cancer Detection and Research Assistant 🌍🩺")