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import gradio as gr
from fastai.vision.all import *
import skimage
learn = load_learner('export.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 = "GS mi BJK mi göster fotonu gör sonucunu, heyda hey!"
description = "Buraya fotoğraflarınızı yükleyerek fotoğrafın bu iki takımdan hangisine ait olduğunu bulabilirsiniz."
article = "<p style='text-align: center'><a href='https://github.com/nevisende' target='_blank'>Github Repom </a> </p>"
examples = ["b.jpeg", "g.jpeg"]
iface = gr.Interface(
fn=predict,
inputs=gr.Image(type="pil"),
outputs=gr.Label(num_top_classes=3),
title=title,
description=description,
article=article,
examples=examples
)
iface.launch(share=True) |