| import gradio as gr | |
| from predict import predict_gradio | |
| title = "Mohammad Ali Food Classification🍔" | |
| description = "This demo is just for my training, Thank you Daniel Bourke for your courses" | |
| demo = gr.Interface( | |
| predict_gradio, | |
| inputs = gr.Image(type="pil"), | |
| outputs = [gr.Label(num_top_classes = 3 , label = "All Predictions in All Classes"), | |
| gr.Label(num_top_classes = 1 , label = "Model Predicts Image as a")], | |
| examples=["examples/476421.jpg", "examples/3479599.jpg", "examples/911808.jpg"], | |
| title = title, | |
| description = description | |
| ) | |
| demo.launch() | |