dl4

app.py

@@ -2,14 +2,14 @@ import gradio as gr
 from fastai.vision.all import *
 
 learn = load_learner('export.pkl')
-categories = ('Lemon', 'Orange','dragon fruit', 'yellow apple', 'red apple', 'green apple')
+categories = ('Lemon', 'Orange','dragon fruit', 'green apple', 'red apple', 'yellow apple')
 def classify_image(img):
     pred, idx, probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
 image = gr.inputs.Image(shape = (256, 256))
 label = gr.outputs.Label()
-examples = ['apple.jpeg']
+examples = ['apple.jpeg', 'dragon.jpeg', 'orange.jpeg', 'lemon.webp', 'green.jpeg', 'yellow.jpeg']
 
 intf = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch()