Kaushik Bar
commited on
Commit
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47011be
1
Parent(s):
6377947
zsic
Browse files- app.py +33 -0
- examples/test1/1.jpg +0 -0
- examples/test1/2.JPG +0 -0
- requirements.txt +2 -0
app.py
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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;;shoes"],
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#["examples/test2/1.jpg", test2_labels],
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#["examples/test2/2.jpg", test2_labels],
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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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examples/test1/1.jpg
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examples/test1/2.JPG
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requirements.txt
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transformers
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torch
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