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import gradio as gr |
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from transformers import pipeline |
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import numpy as np |
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from PIL import Image |
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test1_labels = "me lill;;general store;;goods;;nike;;bags;;shoe;;apparel store;;48 hours sale;;shoes;;8.8;;roadmate;;multi brand outlet;;shoe store;;find your way;;bag shop;;mall;;ralph lauren;;adidas originals;;single luxury;;flat 50%;;kailasa;;yy sports;;sale upto 50%;;laurel;;converse;;pony;;store;;kappa;;glamshops;;grocery store;;fruits;;orefici;;sale;;vans;;convienence store;;met;;yy;;grocery;;milano;;Fresh eggs;;multi brand luxury;;reebok;;bombay electric;;cloth;;manequin;;delhi electric;;lee;;caps;;zara;;crocs;;pepe jenes;;adidas;;sandals;;napa;;project x;;asics;;niche fashion;;puma;;yonex;;t-shirt;;macys;;adidas shoes;;cloth store;;le mill;;sweet monster;;shirt store;;shirt" |
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test2_labels = "Bata;;Tiger;;Mevious;;ministreet;;Bagong;;pepsi;;Persian Cat;;Nike;;birds;;Chesterfield;;Parcel;;Adidas;;American Express;;lions;;Ciggerete;;Puma;;xyz;;Truck;;Good food;;square one;;Courier;;Cat;;circle one;;Cignal;;Classic;;No Face masks no entry;;open;;Ciggerate;;Pall Mall;;Fortune;;Winston;;Fed Express;;Chefs Bakery;;Chefs Kitchen;;RC;;Leapard;;Dog;;JTI;;Bakery;;sophie store;;Cheetah;;mini street 27;;Hygenic;;coca cola;;Marvel;;abc;;dogs;;Malboro;;chef jhez kitchen marife patiag;;Sphynix Cat;;cats;;British American Tobacco;;BAT;;Fed Ex;;mini street convenience store albert josephparren;;Absolute;;Dunhill" |
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pipe = pipeline("zero-shot-image-classification", model="openai/clip-vit-base-patch32") |
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def shot(image, labels_text): |
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PIL_image = Image.fromarray(np.uint8(image)).convert('RGB') |
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labels = labels_text.split(";;") |
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res = pipe(images=PIL_image, |
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candidate_labels=labels, |
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hypothesis_template="This is a photo of {}") |
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return {dic["label"]: dic["score"] for dic in res} |
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iface = gr.Interface(shot, |
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["image", "text"], |
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"label", |
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examples=[ |
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["examples/test1/1.jpg", "ralph lauren;;apparel store;;ralph lauren store;;shirts;;wardrobe;;white flower"], |
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["examples/test1/2.JPG", "adidas;;apparel store;;adidas store;;shirts;;wardrobe;;women training;;shoes"], |
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["examples/test1/3.jpg", "project x;;sweet monster;;bags store;;glass windows;;hanging lights"], |
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["examples/test1/4.JPG", "multi brand store;;multi brand shoe store;;shoe store;;mannequins;;adidas store;;reebok store;;puma store"], |
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], |
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description="Add a picture and a list of labels separated by ;;", |
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title="Zero-shot Image Classification") |
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iface.launch() |
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