app.py

import cv2
import gradio as gr
import os
import tempfile
from pathlib import Path

def images_to_video(input_files, fps=30):
    # Create a temporary directory to store images
    with tempfile.TemporaryDirectory() as temp_dir:
        # Save uploaded files to temp directory
        for i, file_info in enumerate(input_files):
            file_path = os.path.join(temp_dir, f"image_{i}{Path(file_info.name).suffix}")
            with open(file_path, 'wb') as file:
                file.write(file_info.read())
        # Get all the image files from temp directory
        images = [img for img in os.listdir(temp_dir) if img.lower().endswith(('.png', '.jpg', '.jpeg'))]
        if not images:
            raise ValueError("No images found to create a video.")

        images.sort()  # Sort the images by name
        
        # Read the first image to set the video size
        frame = cv2.imread(os.path.join(temp_dir, images[0]))
        height, width, layers = frame.shape
        size = (width, height)
        
        # Create a unique filename for the output video
        video_filename = os.path.join('/mnt/data', 'output_video.mp4')
        
        # Initialize the video writer
        out = cv2.VideoWriter(video_filename, cv2.VideoWriter_fourcc(*'mp4v'), fps, size)
        
        # Loop through all images and add to the video
        for image in images:
            frame = cv2.imread(os.path.join(temp_dir, image))
            out.write(frame)
        
        # Release the video writer
        out.release()
        
        # Return the path of the created video file
        return video_filename

# Create the Gradio interface
iface = gr.Interface(
    fn=images_to_video,
    inputs=[gr.inputs.Image(type="file", label="Upload Images", multiple=True)],
    outputs=gr.outputs.Video(label="Output Video"),
    title="Images to Video Converter",
    description="Upload multiple images to create a video."
)

# Launch the interface
iface.launch()