cell_identifier / app.py
khengoon's picture
revert share=True
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import gradio as gr
from fastai.vision.all import *
import skimage
import pathlib
plt = platform.system()
if plt == 'Linux' : pathlib.WindowsPath = pathlib.PosixPath
learn = load_learner('xres18.pkl')
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
pred,pred_idx,probs = learn.predict(img)
return {labels[i] : float(probs[i]) for i in range(len(labels))}
title = 'Cell Identifier'
description = 'A cell identifier detector trained on custom dataset with fastai. Created using Gradio and HuggingFace Spaces.'
examples = []
enable_queue = True
gr.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()