| from fastai.vision.all import * | |
| import gradio as gr | |
| class Classifier: | |
| def __init__(self, model_path): | |
| self.learn = load_learner(model_path) | |
| def predict(self, image): | |
| pred, pred_idx, probs = self.learn.predict(image) | |
| return {self.learn.dls.vocab[i]: float(p) for i, p in enumerate(probs)} | |
| image = gr.inputs.Image(shape=(128, 128)) | |
| label = gr.outputs.Label() | |
| classifer = Classifier(model_path="model.pkl") | |
| interface = gr.Interface(fn=classifer.predict, inputs=image, outputs=label) | |
| interface.launch(inline=False) |