Upload app.py
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app.py
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from huggingface_hub import from_pretrained_fastai
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import gradio as gr
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from fastai.vision.all import *
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import os
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try:
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import toml
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except ImportError:
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os.system('pip install toml')
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import toml
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repo_id = "edgilr/ChestXRays"
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learner = from_pretrained_fastai(repo_id)
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labels = learner.dls.vocab
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# Definimos una funci贸n que se encarga de llevar a cabo las predicciones
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def predict(img):
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#img = PILImage.create(img)
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pred,pred_idx,probs = learner.predict(img)
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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# Creamos la interfaz y la lanzamos.
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gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['normal.jpeg','pneumonia.jpeg']).launch(share=False)
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