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Browse filesThis is a Image classifier Models that Helps to CLassify the Clothes
- app.py +41 -0
- requirements.txt +6 -0
app.py
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import gradio as gr
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from transformers import CLIPProcessor, CLIPModel
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from PIL import Image
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import torch, requests
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from io import BytesIO
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import numpy as np
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# Load CLIP model
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model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
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processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
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labels = [
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"dress or gown",
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"t-shirt or top or blouse",
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"jeans or pants or trousers",
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"shoes or sneakers or boots",
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"jacket or coat or blazer",
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"handbag or purse or bag",
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"accessories or jewelry",
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"sportswear or activewear",
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"formal wear or suit",
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"non-fashion item"
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]
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def classify(img):
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inputs = processor(text=labels, images=img, return_tensors="pt", padding=True)
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outputs = model(**inputs)
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probs = outputs.logits_per_image.softmax(dim=1)[0].detach().numpy()
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result = {labels[i]: float(probs[i]) for i in range(len(labels))}
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return result
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iface = gr.Interface(
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fn=classify,
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inputs=gr.Image(type="pil"),
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outputs=gr.Label(num_top_classes=3),
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title="AI Clothing Classifier",
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description="Upload an image to identify clothing or fashion items."
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)
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iface.launch(share=True)
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requirements.txt
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gradio
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torch
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transformers
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Pillow
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requests
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