innitial commit

.gitignore

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+venv/
+

app.py

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+import numpy as np
+
+import gradio as gr
+
+def quantize(val, factor):
+    quantized = (np.round(factor * np.array(val / 255)) * (255 / factor)).astype(int)
+    # print(val / 255, factor, factor * np.array(val / 255))
+    return quantized
+
+
+def sepia(factor, input_img):
+    img_arr = np.asarray(input_img)
+    new_img = np.copy(img_arr)
+
+    for y in range(img_arr.shape[1] - 1):
+        for x in range(img_arr.shape[0] - 1):
+            old_pixel = new_img[x, y].copy()
+            new_pixel = quantize(old_pixel, factor)
+            new_img[x, y] = new_pixel
+
+            quant_error = old_pixel - new_pixel
+            new_img[x + 1][y    ] = new_img[x + 1][y    ] + quant_error * 7 / 16
+            new_img[x - 1][y + 1] = new_img[x - 1][y + 1] + quant_error * 3 / 16
+            new_img[x    ][y + 1] = new_img[x    ][y + 1] + quant_error * 5 / 16
+            new_img[x + 1][y + 1] = new_img[x + 1][y + 1] + quant_error * 1 / 16
+    return new_img
+
+
+iface = gr.Interface(sepia, [gr.inputs.Slider(1, 10, 1), "image"], "pil")
+
+iface.launch()