app.py

from fastai.vision.all import *  
import gradio as gr  
  
learn = load_learner("export.pkl")  
  
categories = ("Benign", "Malignant")  
  
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 = ['benign.jpeg','malignant.jpeg']  
title = 'Skin Cancer Predictor'  
description = 'This app predicts skin cancer. For reference only.'  
article = "Author: <a href=\"https://huggingface.co/evawade17\">Eva Wade</a>. "  
  
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title=title, description=description, article=article)  
intf.launch(inline=False)