hf-cli-test / app.py
shrinivas-sn
Test a project
0ae36ae
import streamlit as st
from PIL import Image
# 1. App Configuration
st.set_page_config(page_title="ASCII Art Studio", page_icon="💻", layout="centered")
# 2. The Title & Description
st.title("💻 CLI Test: ASCII Art Studio")
st.write("Uploaded via Hugging Face CLI. Upload an image to see the matrix!")
# 3. Helper Function to convert pixels to ASCII
def image_to_ascii(image, new_width=100):
# Resize image
width, height = image.size
aspect_ratio = height / width
new_height = int(aspect_ratio * new_width * 0.55)
img = image.resize((new_width, new_height))
# Convert to grayscale
img = img.convert("L")
# Map pixels to ASCII chars
pixels = img.getdata()
chars = ["@", "#", "S", "%", "?", "*", "+", ";", ":", ",", "."]
new_pixels = [chars[pixel // 25] for pixel in pixels]
new_pixels = "".join(new_pixels)
# Format string
ascii_image = "\n".join([new_pixels[index:(index + new_width)] for index in range(0, len(new_pixels), new_width)])
return ascii_image
# 4. The Uploader Widget
uploaded_file = st.file_uploader("Upload an image...", type=["jpg", "png", "jpeg"])
# 5. The Logic
if uploaded_file is not None:
image = Image.open(uploaded_file)
st.image(image, caption="Original Image", use_column_width=True)
st.write("### Generating ASCII Art...")
ascii_art = image_to_ascii(image)
# Display inside a code block so it looks like code
st.code(ascii_art, language="text")