update

app.py

@@ -1,7 +1,19 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+learn = load_learner('model.pkl')
+
+def classify_img(img):
+    pred,idx,probs = learn.predict(img)
+    return str(pred + "   Prob: " + str(round(torch.max(probs).item(), 4)) )
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['test0.jpg', 'test1.jpg', 'test2.jpg']
+
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)