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c9bbb53
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Parent(s):
5ef295c
added app file
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app.py
ADDED
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import gradio as gr
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from transformers import CLIPProcessor, CLIPModel
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model = CLIPModel.from_pretrained("openai/clip-vit-base-patch16")
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processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch16")
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def CLIP_calculate_score(image, text):
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words = text.split(";")
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words = [w.strip() for w in words]
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words = list(filter(None, words))
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if len(words) == 0:
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return dict()
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inputs = processor(text=words, images=image, return_tensors="pt", padding=True)
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outputs = model(**inputs)
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logits_per_image = outputs.logits_per_image.detach().numpy()
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results_dict = {
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label: score / 100.0
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for label, score in zip(words, logits_per_image[0])
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}
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return results_dict
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examples = [
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["images/girl_and_dog.jpg", "a dog playing in the beach; a dog and a girl playing in the beach; a girl playing in the beach"],
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["images/horse.jpg", "group of horses running; a dog playing; a horse standing"],
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["images/man_and_cat.jpg", "a man and a cat listening to music; a cat; a man"]
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]
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demo = gr.Interface(
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fn=CLIP_calculate_score,
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inputs=["image", "text"],
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outputs="label",
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examples=examples,
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# allow_flagging="never",
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# cache_examples=True,
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)
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demo.launch()
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