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Thiago-Cerq
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Upload 12 files
Browse files- .gitattributes +2 -0
- L2.jpg +0 -0
- Lion (1).jpg +3 -0
- P1.jpg +0 -0
- README.md +13 -0
- T2.jpg +0 -0
- T3.jpg +0 -0
- Tiger (1).jpg +0 -0
- app.py +25 -0
- gitattributes +36 -0
- king.png +0 -0
- requirements (1).txt +1 -0
- resnet (1).pkl +3 -0
.gitattributes
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Lion[[:space:]](1).jpg filter=lfs diff=lfs merge=lfs -text
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resnet[[:space:]](1).pkl filter=lfs diff=lfs merge=lfs -text
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L2.jpg
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Lion (1).jpg
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Git LFS Details
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P1.jpg
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README.md
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---
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title: Tigre Or Lion Resnet
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emoji: 🦀
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colorFrom: yellow
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colorTo: blue
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sdk: gradio
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sdk_version: 4.11.0
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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T2.jpg
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T3.jpg
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Tiger (1).jpg
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app.py
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from fastai.vision.all import *
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import gradio as gr
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learn = load_learner('resnet.pkl')
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categories = ('Leão', 'Tigre')
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# Function to classify the image using the selected model
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def classify_image(img):
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_, _, probs = learn.predict(img)
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return dict(zip(categories, map(float, probs)))
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# Define input and output components
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image = gr.Image()
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label = gr.Label()
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# Examples for testing
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examples = ['Lion.jpg','Tiger.jpg','L2.jpg','T2.jpg','P1.jpg','T3.jpg','king.png']
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# Create Gradio Interface
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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# Launch the Gradio interface
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intf.launch(inline=False)
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gitattributes
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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Lion.jpg filter=lfs diff=lfs merge=lfs -text
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king.png
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requirements (1).txt
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fastai
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resnet (1).pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:3843df2e9342d2ea5e3bef95c047e5459a64654a12c5b26c785b6a69abdbd7a1
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size 102902159
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