Gif2cpp / app.py
Besimplestudio's picture
Update app.py
ce8ee9d verified
raw
history blame
1.57 kB
import streamlit as st
from PIL import Image
import numpy as np
def gif_to_c_array(gif_path, output_c_file):
gif = Image.open(gif_path)
frame_count = 0
c_code = f"const uint16_t {output_c_file.split('.')[0]}[] PROGMEM = {{\n"
try:
while True:
frame = gif.convert("RGB")
frame = frame.resize((240, 135))
frame_array = np.array(frame)
for y in range(frame_array.shape[0]):
for x in range(frame_array.shape[1]):
r, g, b = frame_array[y, x]
rgb565 = ((r & 0xF8) << 8) | ((g & 0xFC) << 3) | (b >> 3)
c_code += f"0x{rgb565:04X}, "
c_code += "\n"
frame_count += 1
gif.seek(gif.tell() + 1)
except EOFError:
pass
c_code += "};\n"
c_code += f"const uint16_t {output_c_file.split('.')[0]}_frame_count = {frame_count};\n"
with open(output_c_file, "w") as f:
f.write(c_code)
return output_c_file
# Streamlit App
st.title("GIF to C Converter for LilyGO T-Display S3")
st.write("Upload a GIF to convert it to a .c file.")
uploaded_file = st.file_uploader("Upload GIF", type=["gif"])
if uploaded_file is not None:
output_file = "output.c"
c_file_path = gif_to_c_array(uploaded_file, output_file)
with open(c_file_path, "rb") as f:
st.download_button(
label="Download .c File",
data=f,
file_name=output_file,
mime="text/plain"
)