Upload

app.py

@@ -6,8 +6,11 @@ learn = load_learner(path/"model.pkl")
 def classify_garbage(img):
     pred,idx,probs  = learn.predict(img)
     return(dict(zip(pred,map(float,probs))))
+
 image = gr.inputs.Image(shape = (224,224))
 label = gr.outputs.Label()
-
-iface = gr.Interface(fn=classify_garbage, inputs=image, outputs=label)
+title = "Garbage Classifier"
+description = "A Garbage classifier trained with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+examples = ['paper24.jpg']
+iface = gr.Interface(fn=classify_garbage, inputs=image, outputs=label,examples=examples,title=title,description=description)
 iface.launch(inline=False)