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Download pipelines/video_process.py from mgbam/smart-edit-assistant: direct link, hf CLI and curl.
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https://huggingface.co/spaces/mgbam/smart-edit-assistant/resolve/cc3065b301ba601c19effe43cefed1abbd1e17be/pipelines/video_process.py
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hf download hf://spaces/mgbam/smart-edit-assistant@cc3065b301ba601c19effe43cefed1abbd1e17be/pipelines/video_process.py
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curl -L -o video_process.py https://huggingface.co/spaces/mgbam/smart-edit-assistant/resolve/cc3065b301ba601c19effe43cefed1abbd1e17be/pipelines/video_process.py
829 Bytes
| import subprocess | |
| def extract_audio_ffmpeg(in_video, out_audio="temp_audio.wav"): | |
| cmd = [ | |
| "ffmpeg", "-y", | |
| "-i", in_video, | |
| "-vn", | |
| "-acodec", "pcm_s16le", | |
| "-ar", "16000", | |
| "-ac", "1", | |
| out_audio | |
| ] | |
| result = subprocess.run(cmd, capture_output=True) | |
| if result.returncode != 0: | |
| raise RuntimeError(f"FFmpeg audio extraction failed: {result.stderr.decode()}") | |
| return out_audio | |
| def apply_edits(original_video, edit_instructions): | |
| """ | |
| Suppose edit_instructions is a JSON or dictionary specifying which segments to keep. | |
| We'll write them to a concat file or do a more advanced approach. | |
| """ | |
| # parse or generate concat script | |
| # run ffmpeg to produce "edited_video.mp4" | |
| out_path = "edited_video.mp4" | |
| # ... | |
| return out_path | |