# -*- coding: utf-8 -*-
"""App.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/1sSLrAgb1d83QPcQ4_UtxD86m0pS4i7s6
"""

#|export
from fastai.vision.all import *
import gradio as gr

#|export
learn=load_learner('fracturedmodel.pkl')

#|export
categories=("This is a fractured bone.", "Bone does not appear to be fractured.")
def classify_image(img):
  pred,idx,probs=learn.predict(img)
  return dict(zip(categories, map(float, probs)))

#|export
with gr.Blocks(theme='Nymbo/Alyx_Theme') as demo:
    gr.Markdown( """
    # Radiology Report
    Upload your xray to create a radiology report.
    """)
    image = gr.Image(type="pil",label="Upload your x-ray")
    classify_btn = gr.Button("Create Report")
    label = gr.Label(label="Radiology Report")
    examples = gr.Examples(['arm.png', 'hand.png', 'broken1.jpg','nbroken1.jpg'], image)
    classify_btn.click(fn=classify_image, inputs=image, outputs=label)
   

# Launch the interface
demo.launch(inline=False)