| #!/usr/bin/env python | |
| # coding: utf-8 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| learn=load_learner('model (1).pkl') | |
| categories =('Dog', 'Cat') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image =gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| # examples = ['/kaggle/input/dogjpg/dog.jpg', '/kaggle/input/catjpg/cat.jpg', '/kaggle/input/dogcatjpg/dogcat.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label) | |
| intf.launch(inline=False) | |
| def greet(name): | |
| return "Hello " + name + "!!" | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() |