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from fastai.vision.all import * | |
learn_inf = load_learner('export.pkl') | |
import gradio as gr | |
labels = ['fluorescent', 'not_fluorescent'] | |
def predict(img): | |
img = PILImage.create(img) | |
pred,pred_idx,probs = learn_inf.predict(img) | |
return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
fluo_id_web = gr.Interface(fn = "predict", | |
inputs = "image", | |
outputs= "label", | |
interpretation = "default", | |
title="Fluorescence identification").launch(share=True) | |
fluo_id_web.launch() |