Update upgrade.py

upgrade.py

@@ -0,0 +1,37 @@
+from transformers import pipeline
+import cv2
+import numpy as np
+import os
+
+# Initialize a text-to-image generation pipeline (for example purposes)
+generator = pipeline('text-to-image', model='CompVis/stable-diffusion-v1-4')
+
+# List of prompts for each frame
+prompts = [
+    "A spaceship in space, vibrant colors",
+    "A spaceship flying past planets",
+    "A spaceship approaching a distant galaxy",
+    "A spaceship landing on an alien planet"
+]
+
+# Folder to save frames
+os.makedirs('frames', exist_ok=True)
+
+# Generate images for each prompt
+for idx, prompt in enumerate(prompts):
+    image = generator(prompt)[0]['image']
+    image.save(f'frames/frame_{idx:03d}.png')
+
+# Combine frames into a video
+frame_files = [f'frames/frame_{i:03d}.png' for i in range(len(prompts))]
+frame_width, frame_height = cv2.imread(frame_files[0]).shape[1], cv2.imread(frame_files[0]).shape[0]
+
+video_writer = cv2.VideoWriter('space_video.mp4', cv2.VideoWriter_fourcc(*'mp4v'), 1, (frame_width, frame_height))
+
+for file in frame_files:
+    img = cv2.imread(file)
+    video_writer.write(img)
+
+video_writer.release()
+
+print("Video created: space_video.mp4")