| import subprocess | |
| import sys | |
| subprocess.check_call([sys.executable, "-m", "pip", "install", "fastai"]) | |
| subprocess.check_call([sys.executable, "-m", "pip", "install", "gradio"]) | |
| __all__ =['is_cat','learn','classify_image','categories','image','label','examples','InFace'] | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| im = PILImage.create('dog.jpg') | |
| learn = load_learner('model.pkl') | |
| learn.predict(im) | |
| 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 = ['dog.jpg','cat.jpg','N.jpg'] | |
| InFace = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples) | |
| InFace.launch(inline=False) |