Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import numpy as np
 from PIL import Image
 from keras.models import load_model
+import json
 
 # Load the pre-trained model
 model = load_model('brain_tumor_model.h5')
@@ -28,6 +29,10 @@ def predict_image(image):
     else:
         return f'Tumor detected. Confidence: {confidence:.2f}%'
 
+# Load examples from the JSON file
+with open('examples.json') as f:
+    examples = json.load(f)
+
 # Create the Hugging Face Space
 iface = gr.Interface(
     fn=predict_image,
@@ -35,12 +40,7 @@ iface = gr.Interface(
     outputs=gr.Textbox(),
     title="Brain Tumor Detection AI App",
     description="Upload an image to detect brain tumors.",
-    examples=[
-        ["images/no/1_no.jpeg"],
-        ["images/yes/Y1.jpg"],
-        ["images/no/15_no.jpg"],
-        ["images/yes/Y104.jpg"]
-    ]
+    examples=examples
 )
 
 iface.launch(share=True)