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import streamlit as st
import cv2
import numpy as np
from PIL import Image
import tempfile
import os
def create_simple_video(images, output_path, fps=1):
"""
Create a simple video from a list of images
Args:
images (list): List of PIL Image objects
output_path (str): Path to save the output video
fps (int): Frames per second
"""
# Convert PIL images to OpenCV format
cv_images = [cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR) for img in images]
# Get dimensions from first image
height, width, _ = cv_images[0].shape
# Define video writer
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))
# Write frames
for img in cv_images:
out.write(img)
out.release()
def main():
st.title("🖼️ Image to Simple Video Converter")
# Sidebar for configuration
st.sidebar.header("Video Settings")
fps = st.sidebar.slider("Frames per Second", min_value=1, max_value=5, value=1)
# File uploader
uploaded_files = st.file_uploader(
"Upload Images",
type=['png', 'jpg', 'jpeg', 'webp'],
accept_multiple_files=True
)
if uploaded_files:
# Sort images to maintain order
uploaded_files.sort(key=lambda x: x.name)
# Convert uploaded files to PIL Images
images = [Image.open(file) for file in uploaded_files]
# Create temporary file for video
with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_video:
video_path = temp_video.name
# Create video
create_simple_video(images, video_path, fps)
# Display video
st.video(video_path)
# Provide download button
with open(video_path, 'rb') as video_file:
st.download_button(
label="Download Video",
data=video_file.read(),
file_name="converted_video.mp4",
mime="video/mp4"
)
# Clean up temporary file
os.unlink(video_path)
if __name__ == "__main__":
main() |