Update app.py

app.py

@@ -55,13 +55,17 @@ def classify_image(uploaded_image):
 
     return f"Class: {predicted_class_name}, Probability: {predicted_probability:.2f}%", None
 
-# Create Gradio interface
 iface = gr.Interface(
-    classify_image,
+    fn=classify_image,
     inputs=File(type="filepath"),
-    [gr.outputs.Text(), gr.outputs.Image(plot=True)],
-    title="Gastric Image Classifier",
-    description="Upload a gastric image to classify it as normal or abnormal."
+    outputs=gr.Image(plot=True),
+    title="GastroHub AI Gastric Image Classifier",
+    description="Upload an image to classify it as normal or abnormal.",
+    article="Above is a sample image to test the results of the model. Click it to see the results.",
+    examples=[
+        ["Gastric_Images/Ladybug.png"],
+    ],
+    allow_flagging="never",
 )
 
 # Run the Gradio app