| import gradio as gr | |
| def greet(name): | |
| return "Hello " + name + "!!" | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() | |
| inf = load_learner('export.pkl') | |
| #categories = ('Cat', 'Cheetah', 'Other', 'Leopard', 'Lion', 'Snow Leopard', 'Tiger') | |
| def classify_img(img): | |
| pred, idx, probs = inf.predict(img) | |
| return dict(zip(categories,map(float,probs))) | |
| #|export | |
| #This creates the gradio interface | |
| image = gr.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| #examples = ['cheetah.jpg','leopard.jpg','img.jpg'] | |
| #intf = gr.Interface(fn = classify_img, inputs=image,outputs=label,examples = examples) | |
| intf.launch() | |