| import numpy as np |
| import matplotlib.pyplot as plt |
| import gradio as gr |
|
|
| def plot_function(func_str, x_min, x_max, resolution, color, linestyle, grid): |
| try: |
| x_values = np.linspace(x_min, x_max, resolution) |
| functions = func_str.split(",") |
|
|
| plt.figure(figsize=(6, 4), dpi=300) |
|
|
| for func_text in functions: |
| func_text = func_text.strip() |
| func = lambda x: eval(func_text, {"x": x, "np": np}) |
| y_values = func(x_values) |
| plt.plot(x_values, y_values, label=f"f(x) = {func_text}", color=color, linestyle=linestyle) |
|
|
| plt.xlabel("x") |
| plt.ylabel("f(x)") |
| plt.title("Function Plot") |
| plt.legend() |
| |
| if grid: |
| plt.grid() |
|
|
| plt.savefig("high_res_plot.png", dpi=300) |
| plt.close() |
| return "high_res_plot.png", "high_res_plot.png" |
|
|
| except Exception as e: |
| return f"Error: {e}", None |
|
|
| |
| with gr.Blocks() as demo: |
| gr.Markdown("# Interactive Function Plotter 📈") |
|
|
| with gr.Row(): |
| with gr.Column(): |
| func_str = gr.Textbox(label="Function (e.g., x**2, np.sin(x), np.exp(-x))") |
| x_min = gr.Number(label="X Min", value=-10) |
| x_max = gr.Number(label="X Max", value=10) |
| resolution = gr.Slider(10, 1000, step=10, label="Resolution", value=100) |
| color = gr.ColorPicker(label="Line Color") |
| linestyle = gr.Dropdown(["solid", "dashed", "dotted", "dashdot"], label="Line Style") |
| grid = gr.Checkbox(label="Show Grid", value=True) |
| submit_button = gr.Button("Plot Function") |
|
|
| with gr.Column(): |
| output_image = gr.Image(label="Function Plot") |
| download_button = gr.File(label="Download High-Res Plot") |
|
|
| |
| submit_button.click( |
| plot_function, |
| inputs=[func_str, x_min, x_max, resolution, color, linestyle, grid], |
| outputs=[output_image, download_button] |
| ) |
|
|
| |
| demo.launch() |
|
|