| # import gradio as gr | |
| from fastai.vision.all import * | |
| import os | |
| categories = ("Cristiano Ronaldo", "Lionel Messi") | |
| #model = load_learner('model.pkl') | |
| def classify_image(img): | |
| pred, idx, probs = model.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| # image = gr.Image(shape=(192, 192)) | |
| # label = gr.outputs.Label() | |
| examples = ['cristiano.jpg', 'messi.jpg', './images/cristiano.jpg', './images/messi.jpg'] | |
| # A function to display photos from the root images folder | |
| # def get_image(path): | |
| # with open(path, 'rb') as f: | |
| # return f.read() | |
| # def get_image_path(path): | |
| # return path | |
| # print(get_image("images/cristiano.jpg")) | |
| import matplotlib.pyplot as plt | |
| import matplotlib.image as mpimg | |
| image = mpimg.imread('images/cristiano.jpg') | |
| plt.imshow(image) | |
| plt.show() | |
| intf = gr.Interface( | |
| classify_image, gr.Image(type="pil"), | |
| "image", | |
| ) | |
| intf.launch(inline=False) | |