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Julien Simon
commited on
Commit
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Parent(s):
04dd97f
Initial version
Browse files
README.md
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title: Battle Of Image Classifiers
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emoji: 🐨
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colorFrom: green
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---
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title: Battle Of The Image Classifiers
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emoji: 🐨
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colorFrom: green
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colorTo: gray
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app.py
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import gradio as gr
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from transformers import pipeline
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model_names = [
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"facebook/deit-base-patch16-224",
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"facebook/convnext-base-224",
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"google/vit-base-patch16-224",
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"microsoft/resnet-50",
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"microsoft/swin-base-patch4-window7-224",
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"microsoft/beit-base-patch16-224",
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"nvidia/mit-b0",
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"shi-labs/nat-base-in1k-224",
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"shi-labs/dinat-base-in1k-224"
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]
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def process(image_file, top_k, model_name):
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p = pipeline("image-classification", model=model_name)
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pred = p(image_file)
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return {x["label"]: x["score"] for x in pred[:top_k]}
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# Inputs
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image = gr.Image(type="filepath", label="Upload an image")
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top_k = gr.Slider(minimum=1, maximum=10, step=1, value=5, label="Top k classes")
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model_selection = gr.Dropdown(model_names, label="Pick a model")
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# Output
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labels = gr.Label()
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description = "This Space lets you quickly compare the most popular image classifier models available on the hub. All of them have been fine-tuned on the ImageNet-1k dataset. Anecdotally, the three sample images have been generated with a Stable Diffusion model :)"
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iface = gr.Interface(
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theme="huggingface",
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description=description,
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fn=process,
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inputs=[image, top_k, model_selection],
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outputs=[labels],
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examples=[
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["bike.jpg", 5, "google/vit-base-patch16-224"],
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["car.jpg", 5, "microsoft/swin-base-patch4-window7-224"],
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["food.jpg", 5, "facebook/convnext-base-224"]
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],
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allow_flagging="never",
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)
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iface.launch()
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bike.jpg
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car.jpg
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food.jpg
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requirements.txt
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torch
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transformers>=4.25.1
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natten
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