app.py

import gradio as gr
from PIL import Image
import os
import cv2
import numpy as np

def process_image(image_path):
    # 画像を読み込む
    image = Image.open(image_path)
    
    # 最大解像度を設定（1200x1900）
    max_width = 1900
    max_height = 1200

    # アスペクト比を保ちながらリサイズ
    width, height = image.size
    if width > max_width or height > max_height:
        # アスペクト比を保ったままリサイズ
        aspect_ratio = width / height
        if width > max_width:
            width = max_width
            height = int(width / aspect_ratio)
        if height > max_height:
            height = max_height
            width = int(height * aspect_ratio)
        image = image.resize((width, height), Image.LANCZOS)

    # RGBからBGRに変換（cv2はBGRを使用する）
    image = np.array(image)
    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)

    # 動画のフレーム数（30fpsで5秒分）
    fps = 30
    duration = 5
    total_frames = fps * duration

    # フレームリストを作成
    frames = []
    for _ in range(total_frames):
        frames.append(image)

    # 動画保存先の一時ファイルパス
    output_video_path = "/tmp/output_video.mp4"

    # 動画ファイルにフレームを保存
    fourcc = cv2.VideoWriter_fourcc(*'mp4v')  # MP4形式
    height, width, _ = frames[0].shape
    video_writer = cv2.VideoWriter(output_video_path, fourcc, fps, (width, height))

    # フレームを動画に書き込む
    for frame in frames:
        video_writer.write(frame)

    video_writer.release()
    
    # 動画ファイルをGradioに返す
    return output_video_path

class WebUI:
    def __init__(self):
        self.demo = gr.Blocks()

    def main(self, image_path):
        output_video = process_image(image_path)
        return output_video

    def launch(self, share):
        with self.demo:
            with gr.Row():
                with gr.Column():
                    input_image = gr.Image(type='filepath')
                    submit = gr.Button(value="Start")
                with gr.Row():
                    with gr.Column():
                        with gr.Tab("Output"):
                            output_mp4 = gr.Video()
            submit.click(self.main, inputs=[input_image], outputs=[output_mp4])

        self.demo.queue()
        self.demo.launch(share=share)

if __name__ == "__main__":
    ui = WebUI()
    ui.launch(share=True)