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| import gradio as gr | |
| import numpy as np | |
| from PIL import Image | |
| # Simple function to set matplotlib config dir | |
| import os | |
| os.environ['MPLCONFIGDIR'] = '/tmp' | |
| # Hello World example function | |
| def greet(name): | |
| return f"Hello, {name}!" | |
| # Calculator example function | |
| def calculate(num1, num2, operation): | |
| if operation == "Add": | |
| return num1 + num2 | |
| elif operation == "Subtract": | |
| return num1 - num2 | |
| elif operation == "Multiply": | |
| return num1 * num2 | |
| elif operation == "Divide": | |
| if num2 == 0: | |
| return "Error: Division by zero" | |
| return num1 / num2 | |
| # Image filter example function | |
| def apply_filter(image, filter_type): | |
| if image is None: | |
| return None | |
| img_array = np.array(image) | |
| if filter_type == "Grayscale": | |
| result = np.mean(img_array, axis=2).astype(np.uint8) | |
| return Image.fromarray(result) | |
| elif filter_type == "Invert": | |
| result = 255 - img_array | |
| return Image.fromarray(result) | |
| elif filter_type == "Sepia": | |
| sepia = np.array([[0.393, 0.769, 0.189], | |
| [0.349, 0.686, 0.168], | |
| [0.272, 0.534, 0.131]]) | |
| sepia_img = img_array.dot(sepia.T) | |
| sepia_img[sepia_img > 255] = 255 | |
| return Image.fromarray(sepia_img.astype(np.uint8)) | |
| return image | |
| # Create a Gradio app with all examples presented side by side | |
| with gr.Blocks(title="Gradio Examples") as demo: | |
| gr.Markdown("# Gradio Examples") | |
| gr.Markdown("This app demonstrates three simple Gradio examples: Hello World, Calculator, and Image Filter.") | |
| # Layout the examples in a grid | |
| with gr.Tabs(): | |
| with gr.Tab("Hello World"): | |
| with gr.Box(): | |
| gr.Markdown("## Hello World Example") | |
| gr.Markdown("A simple app that greets you by name.") | |
| name_input = gr.Textbox(label="Your Name", value="World") | |
| greet_btn = gr.Button("Say Hello") | |
| greeting_output = gr.Textbox(label="Greeting") | |
| greet_btn.click(fn=greet, inputs=name_input, outputs=greeting_output) | |
| with gr.Tab("Calculator"): | |
| with gr.Box(): | |
| gr.Markdown("## Simple Calculator") | |
| gr.Markdown("Perform basic arithmetic operations between two numbers.") | |
| num1 = gr.Number(label="First Number", value=5) | |
| num2 = gr.Number(label="Second Number", value=3) | |
| operation = gr.Radio( | |
| ["Add", "Subtract", "Multiply", "Divide"], | |
| label="Operation", | |
| value="Add" | |
| ) | |
| calc_btn = gr.Button("Calculate") | |
| result = gr.Textbox(label="Result") | |
| calc_btn.click(fn=calculate, inputs=[num1, num2, operation], outputs=result) | |
| with gr.Tab("Image Filter"): | |
| with gr.Box(): | |
| gr.Markdown("## Image Filter") | |
| gr.Markdown("Apply various filters to images.") | |
| image_input = gr.Image(type="pil", label="Input Image") | |
| filter_type = gr.Radio( | |
| ["Grayscale", "Invert", "Sepia"], | |
| label="Filter Type", | |
| value="Grayscale" | |
| ) | |
| filter_btn = gr.Button("Apply Filter") | |
| filtered_image = gr.Image(label="Filtered Image") | |
| filter_btn.click(fn=apply_filter, inputs=[image_input, filter_type], outputs=filtered_image) | |
| # Launch the app | |
| if __name__ == "__main__": | |
| demo.launch(server_name="0.0.0.0", server_port=7860) |