| from fastai.vision.all import * | |
| import gradio as gr | |
| import timm | |
| import dill | |
| import os | |
| learn = load_learner('./models/catan-model-paperspace-5.pkl', pickle_module=dill) | |
| # learn = load_learner('catan-model.pkl', pickle_module=dill) | |
| # categories = learn.dls.vocab | |
| categories = ('Not Catan', 'Catan') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| # Cell | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples_dir_path = './examples/' | |
| examples = [(examples_dir_path + filename) for filename in os.listdir(examples_dir_path) if filename[:1] != '.'] | |
| # Cell | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch() | |