Update app.py
Browse files
app.py
CHANGED
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@@ -65,22 +65,25 @@ output_dir = Path('./output/gradio')
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setup_eval_logging()
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net, feature_utils, seq_cfg = get_model()
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-
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@spaces.GPU(duration=120)
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@torch.inference_mode()
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def video_to_audio(video_path: str, prompt: str, negative_prompt: str = "music",
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seed: int = -1, num_steps: int = 25,
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cfg_strength: float = 4.5,
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try:
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rng = torch.Generator(device=device)
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if seed >= 0:
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rng.manual_seed(seed)
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else:
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rng.seed()
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fm = FlowMatching(min_sigma=0, inference_mode='euler', num_steps=num_steps)
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# video_info = load_video(video_path, duration) ๋์ :
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if video_info is None:
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logger.error("Failed to load video")
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@@ -94,14 +97,15 @@ def video_to_audio(video_path: str, prompt: str, negative_prompt: str = "music",
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logger.error("Failed to extract frames from video")
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return video_path
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clip_frames = clip_frames.unsqueeze(0)
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sync_frames = sync_frames.unsqueeze(0)
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# ์ํ์ค ๊ธธ์ด ์
๋ฐ์ดํธ
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seq_cfg.duration = actual_duration
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net.update_seq_lengths(seq_cfg.latent_seq_len, seq_cfg.clip_seq_len, seq_cfg.sync_seq_len)
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# ์ค๋์ค ์์ฑ
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audios = generate(clip_frames,
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sync_frames,
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[prompt],
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@@ -120,12 +124,14 @@ def video_to_audio(video_path: str, prompt: str, negative_prompt: str = "music",
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# ๊ฒฐ๊ณผ ๋น๋์ค ์์ฑ
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output_path = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4').name
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return video_path
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logger.info(f'Successfully saved video with audio to {output_path}')
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return output_path
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@@ -353,7 +359,7 @@ def generate_video(image, prompt):
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seed=-1,
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num_steps=25,
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cfg_strength=4.5,
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-
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)
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if final_path_with_audio != final_path:
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setup_eval_logging()
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net, feature_utils, seq_cfg = get_model()
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@spaces.GPU(duration=120)
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@torch.inference_mode()
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def video_to_audio(video_path: str, prompt: str, negative_prompt: str = "music",
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seed: int = -1, num_steps: int = 25,
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cfg_strength: float = 4.5, target_duration: float = 8.0):
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try:
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logger.info("Starting audio generation process")
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rng = torch.Generator(device=device)
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if seed >= 0:
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rng.manual_seed(seed)
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else:
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rng.seed()
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+
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fm = FlowMatching(min_sigma=0, inference_mode='euler', num_steps=num_steps)
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# video_info = load_video(video_path, duration) ๋์ :
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kwargs = {'static_duration': target_duration}
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video_info = load_video(video_path, **kwargs)
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if video_info is None:
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logger.error("Failed to load video")
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logger.error("Failed to extract frames from video")
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return video_path
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clip_frames = clip_frames.unsqueeze(0).to(device)
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sync_frames = sync_frames.unsqueeze(0).to(device)
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# ์ํ์ค ๊ธธ์ด ์
๋ฐ์ดํธ
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seq_cfg.duration = actual_duration
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net.update_seq_lengths(seq_cfg.latent_seq_len, seq_cfg.clip_seq_len, seq_cfg.sync_seq_len)
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# ์ค๋์ค ์์ฑ
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logger.info("Generating audio...")
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audios = generate(clip_frames,
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sync_frames,
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[prompt],
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# ๊ฒฐ๊ณผ ๋น๋์ค ์์ฑ
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output_path = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4').name
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logger.info(f"Creating final video with audio at {output_path}")
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make_video(video_info, output_path, audio, sampling_rate=seq_cfg.sampling_rate)
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if not os.path.exists(output_path):
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logger.error("Failed to create output video")
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return video_path
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logger.info(f'Successfully saved video with audio to {output_path}')
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return output_path
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seed=-1,
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num_steps=25,
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cfg_strength=4.5,
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target_duration=8.0 # duration์ target_duration์ผ๋ก ๋ณ๊ฒฝ
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)
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if final_path_with_audio != final_path:
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