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Browse files- .gitattributes +35 -0
- README.md +13 -0
- app.py +61 -0
- requirements.txt +2 -0
.gitattributes
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README.md
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---
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title: Create Image
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emoji: ⚡
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colorFrom: red
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colorTo: blue
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sdk: gradio
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sdk_version: 5.6.0
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app_file: app.py
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pinned: false
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short_description: Create images from text Set colors and more
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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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app.py
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# This is a Gradio app to convert text into images with adjustable colors, fonts, and alignment.
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import gradio as gr
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import matplotlib.pyplot as plt
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import numpy as np
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# Function to convert text to an image
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def text_to_image(text, font_size, font_color, bg_color, text_align, width, height):
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# Create a figure and axis with specified width and height
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fig, ax = plt.subplots(figsize=(width, height))
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# Set the background color
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ax.set_facecolor(bg_color)
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# Display the text with specified alignment
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ax.text(0.5, 0.5, text, fontsize=font_size, color=font_color, ha=text_align, va='center')
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# Remove axes
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ax.axis('off')
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# Convert the plot to an image
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fig.canvas.draw()
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img = np.frombuffer(fig.canvas.tostring_rgb(), dtype=np.uint8)
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img = img.reshape(fig.canvas.get_width_height()[::-1] + (3,))
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# Close the plot
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plt.close(fig)
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return img
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# Create a Gradio interface
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with gr.Blocks() as demo:
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# Input components
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text_input = gr.Textbox(label="Text", placeholder="Enter your text here")
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font_size_slider = gr.Slider(10, 100, value=20, label="Font Size")
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font_color_picker = gr.ColorPicker(label="Font Color", value="#000000")
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bg_color_picker = gr.ColorPicker(label="Background Color", value="#FFFFFF")
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text_align_dropdown = gr.Dropdown(choices=["left", "center", "right"], value="center", label="Text Alignment")
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width_slider = gr.Slider(1, 10, value=5, label="Width")
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height_slider = gr.Slider(1, 10, value=5, label="Height")
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# Output component
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image_output = gr.Image(label="Generated Image")
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# Define the event listener
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create_button = gr.Button("Create")
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create_button.click(
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fn=text_to_image,
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inputs=[text_input, font_size_slider, font_color_picker, bg_color_picker, text_align_dropdown, width_slider, height_slider],
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outputs=image_output
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)
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# Initial call to generate the image
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create_button.click(
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fn=text_to_image,
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inputs=[text_input, font_size_slider, font_color_picker, bg_color_picker, text_align_dropdown, width_slider, height_slider],
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outputs=image_output
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)
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# Launch the interface
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if __name__ == "__main__":
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demo.launch(show_error=True)
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requirements.txt
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matplotlib
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numpy
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