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Download app.py from LEWOPO/Classification_image_Powo: direct link, hf CLI and curl.
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https://huggingface.co/spaces/LEWOPO/Classification_image_Powo/resolve/main/app.py
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hf download hf://spaces/LEWOPO/Classification_image_Powo/app.py
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curl -L -o app.py https://huggingface.co/spaces/LEWOPO/Classification_image_Powo/resolve/main/app.py
711 Bytes
| from turtle import title | |
| import gradio as gr | |
| from transformers import pipeline | |
| import numpy as np | |
| from PIL import Image | |
| pipe = pipeline("zero-shot-image-classification", model="openai/clip-vit-base-patch32") | |
| def shot(image, labels_text): | |
| PIL_image = Image.fromarray(np.uint8(image)).convert('RGB') | |
| labels = labels_text.split(",") | |
| res = pipe(images=PIL_image, | |
| candidate_labels=labels, | |
| ) | |
| return {dic["label"]: dic["score"] for dic in res} | |
| iface = gr.Interface(shot, | |
| ["image", "text"], | |
| "label", | |
| description="Placer une image", | |
| title="Powo Class") | |
| iface.launch() |