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| import gradio as gr | |
| from typing import Dict | |
| from moviepy.editor import VideoFileClip, concatenate_videoclips | |
| class VideoCreator: | |
| def __init__(self, | |
| tts_pipeline, | |
| image_pipeline) -> None: | |
| self.tts_pipeline = tts_pipeline | |
| self.image_pipeline = image_pipeline | |
| def create_video(self, scenes: Dict) -> Dict: | |
| videos_dict = {} | |
| for index, scene in enumerate(scenes): | |
| video_scene = self._create_video_from_scene(scenes[scene]) | |
| videos_dict[scene] = video_scene | |
| merged_video = self._merge_videos(videos_dict) | |
| return merged_video | |
| def _create_video_from_scene(self, scene: Dict) -> str: | |
| audio_file = self._get_audio_from_text(scene["Summary"]) | |
| bg_image = self._get_bg_image_from_description(scene["Illustration"]) | |
| video = gr.make_waveform(audio=audio_file, | |
| bg_image=bg_image) | |
| return video | |
| def _get_audio_from_text(self, voice_over: str) -> str: | |
| self.tts_pipeline.tts_to_file(text=voice_over, | |
| file_path="output.wav") | |
| return "output.wav" | |
| def _get_bg_image_from_description(self, img_desc: str): | |
| images = self.image_pipeline(img_desc) | |
| print("Image generated!") | |
| image_output = images.images[0] | |
| image_output.save("img.png") | |
| return "img.png" | |
| def _merge_videos(self, videos_dict: Dict): | |
| videos_to_concatenate = [] | |
| for video in range(len(videos_dict)): | |
| video_clip = VideoFileClip(videos_dict[video]) | |
| videos_to_concatenate.append(video_clip) | |
| final_video = concatenate_videoclips(videos_to_concatenate) | |
| final_video.write_videofile("final_video.mp4") |