Update app.py

app.py

@@ -25,11 +25,33 @@ def classify_image(inp):
   confidences = {labels[i]: float(prediction[i]) for i in range(23)}
   return confidences
  
+
+title="SKIN DISEASE PREDICTION"
+
+description = "An automated system is proposed for the diagnosis of #23 common skin diseases by using data from clinical images and patient information using deep learning pre-trained ResNet50 model."
+
+
+
+
+examples = [
+                ['./123.jpg'],
+                ['./acne-closed-comedo-2.jpg'],
+                ['./distal-subungual-onychomycosis-86.jpg'],
+                ['./cherry-angioma-16.jpg'],
+                ['./malignant-melanoma-16.jpg'],  
+                ['./tinea-primary-lesion-15.jpg']               
+           ]
   
-gr.Interface(fn=classify_image, 
+
+    
+        
+      
+gr.Interface(fn=classify_image,
+             title = title,
+             description = description, 
              inputs=gr.inputs.Image(shape=(256, 256)),
-             outputs=gr.outputs.Label(num_top_classes=3),
-             examples=["./123.jpg", "./distal-subungual-onychomycosis-86.jpg"]).launch()
+             outputs=gr.outputs.Label(num_top_classes=4),
+             examples=examples).launch()