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import sys
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import gradio as gr
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sys.path.append("CLIP_explainability/Transformer-MM-Explainability/")
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import torch
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import CLIP.clip as clip
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from clip_grounding.utils.image import pad_to_square
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from clip_grounding.datasets.png import (
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overlay_relevance_map_on_image,
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)
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from CLIP_explainability.utils import interpret, show_img_heatmap, show_heatmap_on_text
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clip.clip._MODELS = {
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"ViT-B/32": "https://openaipublic.azureedge.net/clip/models/40d365715913c9da98579312b702a82c18be219cc2a73407c4526f58eba950af/ViT-B-32.pt",
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"ViT-B/16": "https://openaipublic.azureedge.net/clip/models/5806e77cd80f8b59890b7e101eabd078d9fb84e6937f9e85e4ecb61988df416f/ViT-B-16.pt",
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}
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model, preprocess = clip.load("ViT-B/32", device=device, jit=False)
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def run_demo(image, text):
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orig_image = pad_to_square(image)
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img = preprocess(orig_image).unsqueeze(0).to(device)
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text_input = clip.tokenize([text]).to(device)
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R_text, R_image = interpret(model=model, image=img, texts=text_input, device=device)
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image_relevance = show_img_heatmap(R_image[0], img, orig_image=orig_image, device=device, show=False)
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overlapped = overlay_relevance_map_on_image(image, image_relevance)
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text_scores, text_tokens_decoded = show_heatmap_on_text(text, text_input, R_text[0], show=False)
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highlighted_text = []
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for i, token in enumerate(text_tokens_decoded):
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highlighted_text.append((str(token), float(text_scores[i])))
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return overlapped, highlighted_text
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input_img = gr.inputs.Image(type='pil', label="Original Image")
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input_txt = "text"
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inputs = [input_img, input_txt]
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outputs = [gr.inputs.Image(type='pil', label="Output Image"), "highlight"]
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iface = gr.Interface(fn=run_demo,
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inputs=inputs,
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outputs=outputs,
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title="CLIP Grounding Explainability",
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description="A demonstration based on the Generic Attention-model Explainability method for Interpreting Bi-Modal Transformers by Chefer et al. (2021): https://github.com/hila-chefer/Transformer-MM-Explainability.",
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examples=[["example_images/London.png", "London Eye"],
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["example_images/London.png", "Big Ben"],
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["example_images/harrypotter.png", "Harry"],
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["example_images/harrypotter.png", "Hermione"],
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["example_images/harrypotter.png", "Ron"],
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["example_images/Amsterdam.png", "Amsterdam canal"],
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["example_images/Amsterdam.png", "Old buildings"],
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["example_images/Amsterdam.png", "Pink flowers"],
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["example_images/dogs_on_bed.png", "Two dogs"],
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["example_images/dogs_on_bed.png", "Book"],
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["example_images/dogs_on_bed.png", "Cat"]])
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iface.launch(debug=True) |
