app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: ../colo_app.ipynb.

# %% auto 0
__all__ = ['learn', 'image', 'label', 'examples', 'intf', 'classify_img']

# %% ../colo_app.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% ../colo_app.ipynb 4
learn = load_learner('export.pkl')

# %% ../colo_app.ipynb 7
def classify_img(img):
    pred, cl, probs = learn.predict(img)

    prob0 = float(probs[0])
    prob1 = float(probs[1])

    d = {
        "This is a colonoscopy photo --- probability:":prob0,
        "This is not a colonoscopy photo --- probability:":prob1
    }
    return d

# %% ../colo_app.ipynb 9
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['colonoscopy.jpg','colonoscopy2.jpg','colonoscopy3.jpg','colonoscopy4.jpg', 'white_square.jpg','dog.jpeg','pinkroundball.jpeg','earthworm.jpg']

intf=gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)