prostab / app.py
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# AUTOGENERATED! DO NOT EDIT! File to edit: ../Untitled1.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
# %% ../Untitled1.ipynb 2
!pip install -Uqq fastai
# %% ../Untitled1.ipynb 4
from fastai.vision.all import *
# %% ../Untitled1.ipynb 5
!pip install gradio
# %% ../Untitled1.ipynb 6
import gradio as gr
def is_cat(x): return x[0].isupper()
# %% ../Untitled1.ipynb 8
learn = load_learner('model.pkl')
# %% ../Untitled1.ipynb 10
categories = ('Dog','Cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories,map(float,probs)))
# %% ../Untitled1.ipynb 12
image = gr.inputs.Image(shape = (192,192))
label = gr.outputs.Label()
examples = ['cat.jpeg']
intf = gr.Interface(fn = classify_image,inputs = image,outputs = label,examples=examples)
intf.launch(inline =False)