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Download visualization.py from awarefy/amp: direct link, hf CLI and curl.
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- Download file 1.16 kB
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https://huggingface.co/spaces/awarefy/amp/resolve/main/visualization.py
- Command line
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hf download hf://spaces/awarefy/amp/visualization.py
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curl -L -o visualization.py https://huggingface.co/spaces/awarefy/amp/resolve/main/visualization.py
1.16 kB
| from typing import Iterable | |
| import numpy as np | |
| import plotly.express as px # type: ignore | |
| def highlight(word: str, attn: float) -> str: | |
| color = "#%02X%02X%02X" % (255, int(255 * (1 - attn)), int(255 * (1 - attn))) | |
| return f'<span style="background-color: {color}">{word}</span>' | |
| def html_hext(words_attn: Iterable[tuple[str, float]]) -> str: | |
| return " ".join(highlight(word, attn) for word, attn in words_attn) | |
| def heatmap(data: np.ndarray): | |
| y_labels = [ | |
| "嘲笑や特性を理解されない", | |
| "特性や能力への攻撃", | |
| "学校や職場で受け入れられない", | |
| "特性をおかしいとみなされる", | |
| "障害への差別や苦悩をなかったことにされる", | |
| "うまくコミュニケーションがとれない", | |
| "障害について理解されない", | |
| "侮蔑される,認められない", | |
| "周囲の理解不足", | |
| "障害をなかったことにされる,責められる", | |
| ] | |
| fig = px.imshow(data, labels=dict(x="判定", y="名称"), y=y_labels) | |
| fig.update_layout(coloraxis_colorbar=dict(title="得点")) | |
| return fig | |