Spaces:
Running on CPU Upgrade
Running on CPU Upgrade
Update utils.py
Browse files
utils.py
CHANGED
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@@ -39,19 +39,24 @@ TRANSPARENT_BG = dict(
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# Speaker sample helpers
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# ---------------------------------------------------------------------------
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def colorsCSS(n, startingHue=None):
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"""Creates n distinctive CSS hex colors evenly spaced across the hue wheel.
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Drop-in replacement for su.colorsCSS that accepts an optional startingHue
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so related color pools (catTypeColors, speakerColors, catColors) can share
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the same starting point and stay visually consistent across rerenders.
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"""
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if n == 0:
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return []
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ret = []
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h = startingHue if startingHue is not None else int(random.random() * 180)
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h += step
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h = int(h) % 180
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hsv = np.uint8([[[h, 200, 200]]])
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@@ -59,8 +64,10 @@ def colorsCSS(n, startingHue=None):
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b = f'{bgr[0][0][0].item():02x}'
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g = f'{bgr[0][0][1].item():02x}'
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r = f'{bgr[0][0][2].item():02x}'
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def extract_clip_bytes(waveform, sample_rate, seg_start, seg_end):
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# Speaker sample helpers
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# ---------------------------------------------------------------------------
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def colorsCSS(n, startingHue=None, pool=None):
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"""Creates n distinctive CSS hex colors evenly spaced across the hue wheel.
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Drop-in replacement for su.colorsCSS that accepts an optional startingHue
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so related color pools (catTypeColors, speakerColors, catColors) can share
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the same starting point and stay visually consistent across rerenders.
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pool: if set, generate this many evenly-spaced colors first, then pick n
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from them. This constrains the color space so colors are never too similar
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even when n is small. Recommended value: 24.
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"""
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if n == 0:
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return []
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h = startingHue if startingHue is not None else int(random.random() * 180)
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num = pool if (pool and pool >= n) else n
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step = 180 / num
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all_colors = []
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for _ in range(num):
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h += step
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h = int(h) % 180
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hsv = np.uint8([[[h, 200, 200]]])
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b = f'{bgr[0][0][0].item():02x}'
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g = f'{bgr[0][0][1].item():02x}'
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r = f'{bgr[0][0][2].item():02x}'
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all_colors.append('#' + b + g + r)
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# Pick n evenly-spaced colors from the pool
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indices = [int(i * num / n) for i in range(n)]
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return [all_colors[i] for i in indices]
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def extract_clip_bytes(waveform, sample_rate, seg_start, seg_end):
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