Update app.py

app.py

@@ -1,7 +1,5 @@
 import gradio as gr
 import requests
-from transformers import pipeline
-from PIL import Image
 
 # Load the Skin Cancer Image Classification model
 classifier = gr.load("models/Anwarkh1/Skin_Cancer-Image_Classification")
@@ -58,12 +56,12 @@ def generate_explanation(label, confidence):
 
 # Gradio Multi-Application System (MAS)
 with gr.Blocks() as mas:
-    gr.Markdown("# 🌍 AI-Powered Skin Cancer Detection and Research Assistant 🩺")
-    gr.Markdown(
-        "This multi-functional platform provides skin cancer classification, patient-friendly explanations, "
-        "and access to the latest research papers to empower healthcare and save lives."
-    )
-    
+    gr.Markdown("""
+    # 🌍 AI-Powered Skin Cancer Detection and Research Assistant 🩺
+    This multi-functional platform provides skin cancer classification, patient-friendly explanations, 
+    and access to the latest research papers to empower healthcare and save lives.
+    """)
+
     with gr.Tab("🔍 Skin Cancer Classification"):
         with gr.Row():
             image = gr.Image(type="pil", label="Upload Skin Image")
@@ -93,7 +91,7 @@ with gr.Blocks() as mas:
           - **Train Accuracy:** 96.14%
         - **Loss Function:** Cross-Entropy  
         """)
-    
+
     with gr.Tab("ℹ️ About This Project"):
         gr.Markdown("""
         ### About