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from PIL import Image | |
import gradio as gr | |
import numpy as np | |
def convert_to_ascii(image, text_size): | |
if isinstance(image, str): | |
gimage = Image.open(image) | |
elif isinstance(image, np.ndarray): | |
gimage = Image.fromarray(image) | |
else: | |
raise ValueError("Unsupported input type. Please provide a file path or a NumPy array.") | |
width, height = gimage.size | |
# Calculate a new aspect ratio based on text_size and original image dimensions | |
aspect_ratio = height / (width * 2) # Adjusted aspect ratio | |
new_width = int(text_size) | |
new_height = int(aspect_ratio * text_size * 0.5) | |
resized_image = gimage.resize((new_width, new_height)) | |
grayscale_image = resized_image.convert('L') | |
ascii_chars = 'β@&%#*β+=-:,.\/|][}{)(Β΄ββββββ ' # add more characters if you want | |
ascii_image = '' | |
for y in range(new_height): | |
for x in range(new_width): | |
pixel_value = grayscale_image.getpixel((x, y)) | |
if pixel_value == 255: | |
ascii_image += 'β ' | |
else: | |
ascii_image += ascii_chars[int(pixel_value / 255 * (len(ascii_chars) - 1))] | |
ascii_image += '\n' | |
return ascii_image | |
# Create an Interface with a title | |
iface = gr.Interface( | |
fn=convert_to_ascii, # Function to run | |
inputs=["image","number"], # Input component (in this case, an image) | |
outputs=gr.Textbox(show_copy_button=True), # Output component (in this case, text) | |
title="image-to-ascii (by peasoup)", | |
description="so i made this for mobile people and mac users (you're welcome!!), look at this omg: https://github.com/itspeasoup/image-to-ascii" | |
) | |
# Launch the interface | |
iface.launch() |