Test

app.py

@@ -1,9 +1,18 @@
 import gradio as gr
+from fastai.vision.widgets import *
+# def greet(name):
+#     return "Hello " + name + "!!"
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['grizzly-bear.jpg', 'black-bear.jpg', 'teddy-bear.jpg']
 
-def greet(name):
-    return "Hello " + name + "!!"
+path = Path()
+learn = load_learner(path/'model.pkl')
 
-print('hello')
+def classify_image(img):
+  pred,pred_idx,probs = learn.predict(img)
+  return {'Type': pred, 'Probability': f'{probs[pred_idx]:.04f}'}
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)

requirements.txt

@@ -0,0 +1 @@
+fastai>=2.0.0