add examples, call gradio.components in interface

app.py

@@ -2,8 +2,7 @@ import os
 from huggingface_hub import from_pretrained_fastai
 from fastai.vision.all import *
 import gradio as gr
-from gradio.components import Image
-from gradio import Label
+
 
 import pathlib
 plt = platform.system()
@@ -11,7 +10,7 @@ if plt == 'Linux':
     pathlib.WindowsPath = pathlib.PosixPath
 
 learner = load_learner('model.pkl')
-labels = learner.dls.vocab
+labels = tuple(learner.dls.vocab)
 
 
 def predict_fn(img):
@@ -20,6 +19,7 @@ def predict_fn(img):
 
 
 gr.Interface(predict_fn,
-             Image(shape=(512, 512)),
-             outputs=Label(num_top_classes=3),
+             inputs=gr.components.Image(),
+             outputs=gr.components.Label(num_top_classes=8),
+             examples=['t.jpg', 'tbad.jpg', 'e.jpg', 'ebad.jpg'],
              ).launch()