examples

app.py

@@ -8,6 +8,7 @@ extractor = AutoFeatureExtractor.from_pretrained("saved_model_files")
 model = AutoModelForImageClassification.from_pretrained("saved_model_files")
 
 labels = dataset['train'].features['labels'].names
+example_imgs = ["example_0.jpg", "example_1.jpg","example_2.jpg"]
 
 def classify(im):
   features = feature_extractor(im, return_tensors='pt')
@@ -19,6 +20,10 @@ def classify(im):
   
 import gradio as gr
 
-interface = gr.Interface(classify, inputs='image', outputs='label', title='Bean Classification', description='Check the health of your bean leaves')
+interface = gr.Interface(classify, inputs='image',
+                          outputs='label',
+                          title='Bean Classification', 
+                          description='Check the health of your bean leaves',
+                          examples = example_imgs)
 
 interface.launch(debug=True)