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Update app.py
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app.py
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import gradio as gr
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from fastai.learner import load_learner
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from PIL import Image
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# Load the learner
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# Define the prediction function
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def predict_image(img):
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# Convert the PIL image to a format that fastai expects
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img_fastai = Image.fromarray(img.astype('uint8'), 'RGB')
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# Make prediction
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pred, _, _ =
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# Return prediction
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return pred
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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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from fastai.learner import load_learner
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from PIL import Image
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# Load the learner
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repo_id ="LuisCe/Practica03"
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learner = from_pretrained_fastai(repo_id)
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# learn_inf = load_learner("LuisCe/Practica03")
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# Define the prediction function
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def predict_image(img):
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# Convert the PIL image to a format that fastai expects
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# img_fastai = Image.fromarray(img.astype('uint8'), 'RGB')
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# Make prediction
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pred, _, _ = learner.predict(img_fastai)
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# Return prediction
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return pred
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