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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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iface = gr.Interface(fn=
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iface.launch()
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from fastai.vision.all import *
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from fastai.vision.all import load_learner
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import nbdev
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import os
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import gradio as gr
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import pathlib
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# from google.colab import drive
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# drive.mount('/content/drive/')
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temp = pathlib.WindowsPath
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pathlib.WindowsPath = pathlib.PosixPath
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model_dir = "/content/drive/MyDrive/Learnings/fai/models/parrot-recognizer-v3.pkl"
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model = load_learner(model_dir)
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parrot_species = ['african grey parrot',
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'australian king parrot',
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'blue lorikeet',
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'blue-and-yellow macaw',
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'blue-headed parrot',
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'budgerigar',
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'burrowing parrot',
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'caique parrot',
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'catalina macaw',
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'chestnut-fronted macaw',
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'cockatiels',
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'crimson rosella',
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'cuban amazon',
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'eclectus parrot',
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'galah',
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'golden parakeet',
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'great green macaw',
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'great hanging parrot',
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'greater vasa parrot',
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'hahn_s macaws',
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'hooded parrot',
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'hyacinth macaw',
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'kea',
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'kākāpō',
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'lovebirds',
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'monk parakeet',
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'orange-winged amazon',
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'palm cockatoo',
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'parrotlet',
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'plum-headed parakeet',
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'puerto rican amazon',
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'rainbow lorikeet',
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'red-breasted parakeet',
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'red-crowned amazon',
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'red-crowned parakeet',
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'red-fan parrot',
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'red-shouldered macaw',
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'red-tailed black cockatoos',
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'rose-ringed parakeet',
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'saint vincent amazon',
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'scarlet macaw',
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'senegal parrot',
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'spixs macaw',
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'sun conure',
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'thick-billed parrot',
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'turquoise-fronted amazon',
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'vernal hanging parrot',
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'white cockatoo',
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'yellow-collared macaws',
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'yellow-headed amazon']
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def recognize_image(image):
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pred, idx, probs = model.predict(image)
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return dict(zip(parrot_species, map(float, probs)))
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# im = "/content/drive/MyDrive/Learnings/fai/test_images/unknown_12.jpg"
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# img = PILImage.create(im)
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# img.thumbnail((192,192))
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# img
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# recognize_image(img)
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image = gr.inputs.Image(shape=(192,192))
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label = gr.outputs.Label()
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examples = [
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_00.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_01.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_02.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_03.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_04.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_05.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_06.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_07.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_08.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_09.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_10.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_11.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_12.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_13.jpg",
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"/content/drive/MyDrive/Learnings/fai/test_images/unknown_14.jpg",
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]
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iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
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iface.launch(inline=False, share = True)
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