khengoon/cell_identifier

1import gradio as gr2from fastai.vision.all import *3import skimage4import pathlib5 6plt = platform.system()7if plt == 'Linux' : pathlib.WindowsPath = pathlib.PosixPath8 9learn = load_learner('xres18.pkl')10 11labels = learn.dls.vocab12def predict(img):13    img = PILImage.create(img)14    pred,pred_idx,probs = learn.predict(img)15    return {labels[i] : float(probs[i]) for i in range(len(labels))}16 17title = 'Cell Identifier'18description = 'A cell identifier detector trained on custom dataset with fastai. Created using Gradio and HuggingFace Spaces.'19examples = []20enable_queue = True21 22gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512,512)), outputs=gr.outputs.Label(num_top_classes=3), title=title, description=description, examples=examples, enable_queue=enable_queue).launch()