Spaces:
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Browse files- README.md +6 -7
- requirements.txt +2 -0
- run.py +63 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 3.6
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app_file:
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: color_generator_main
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emoji: 🔥
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: 3.6
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app_file: run.py
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pinned: false
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---
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requirements.txt
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opencv-python
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numpyhttps://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl
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run.py
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import gradio as gr
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import cv2
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import numpy as np
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import random
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# Convert decimal color to hexadecimal color
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def RGB_to_Hex(rgb):
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color = "#"
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for i in rgb:
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num = int(i)
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color += str(hex(num))[-2:].replace("x", "0").upper()
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return color
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# Randomly generate light or dark colors
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def random_color(is_light=True):
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return (
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random.randint(0, 127) + int(is_light) * 128,
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random.randint(0, 127) + int(is_light) * 128,
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random.randint(0, 127) + int(is_light) * 128,
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)
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def switch_color(color_style):
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if color_style == "light":
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is_light = True
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elif color_style == "dark":
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is_light = False
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back_color_ = random_color(is_light) # Randomly generate colors
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back_color = RGB_to_Hex(back_color_) # Convert to hexadecimal
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# Draw color pictures.
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w, h = 50, 50
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img = np.zeros((h, w, 3), np.uint8)
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cv2.rectangle(img, (0, 0), (w, h), back_color_, thickness=-1)
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return back_color, back_color, img
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inputs = [gr.Radio(["light", "dark"], value="light")]
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outputs = [
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gr.ColorPicker(label="color"),
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gr.Textbox(label="hexadecimal color"),
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gr.Image(type="numpy", label="color picture"),
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]
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title = "Color Generator"
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description = (
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"Click the Submit button, and a dark or light color will be randomly generated."
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)
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demo = gr.Interface(
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fn=switch_color,
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inputs=inputs,
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outputs=outputs,
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title=title,
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description=description,
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)
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if __name__ == "__main__":
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demo.launch()
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