Added Image Example

app.py

@@ -7,6 +7,11 @@ class_names = ['Kharbandhi Lhakhang', 'Milarepa Lhakhang', 'Pasakha Lhakhang']
 img_height, img_width = 256, 256
 model = tf.keras.models.load_model('CSR_models.h5')
 
+examples = [
+    'img/Milarepa.jpg',
+    'img/kharbandhi.jpg',
+    'img/pasakha.jpeg'
+]
 def greet(sample_image):
     sample_image_resized = cv2.resize(sample_image, (img_height, img_width))
     sample_image_expanded = np.expand_dims(sample_image_resized, axis=0)
@@ -14,5 +19,5 @@ def greet(sample_image):
     image_output_class = class_names[np.argmax(predictions)]
     return image_output_class
 
-demo = gr.Interface(fn=greet, inputs="image", outputs="text")
+demo = gr.Interface(fn=greet, inputs="image", outputs="text", examples = examples)
 demo.launch()