Register event listener
Learn about Register event listener. Practical guide with tips and FAQ.
This guide covers register event listener with practical steps, tips, and frequently asked questions.
In This Guide
Step-by-Step Guide
Assemble video
video_file = assemble_video(audio_file, signal)
Upload to platforms
upload_to_youtube(final_video, signal) upload_to_tiktok(final_video, signal)
if __name__ == '__main__': app.run(host='0.0.0.0', port=5001) Part 4: Stage 2 — Content Generation (Script to Video)
This is where the magic happens. We'll use ShortGPT as our primary framework, with custom modifications for crypto-specific formatting.
Extract audio from video
audio_path = "temp_audio.wav" subprocess.run([ "ffmpeg", "-i", video_path, "-vn", "-acodec", "pcm_s16le", "-ar", "16000", audio_path, "-y" ])
Transcribe with Whisper
model = WhisperModel("large-v3", device="cuda", compute_type="float16") segments, info = model.transcribe(audio_path, word_timestamps=True)
Generate SRT caption file
srt_path = "captions.srt" with open(srt_path, "w") as f: for i, segment in enumerate(segments): start = format_timestamp(segment.start) end = format_timestamp(segment.end) f.write(f"{i+1}\n") f.write(f"{start} --> {end}\n") f.write(f"{segment.text.strip()}\n\n")
Burn captions into video using MoviePy
# Optional: Add styled captions from moviepy.video.tools.subtitles import SubtitlesClip
generator = lambda txt: mp.TextClip(txt, font='Arial', fontsize=24, color='white', stroke_color='black', stroke_width=2) subtitles = SubtitlesClip(srt_path, generator)
final = mp.CompositeVideoClip([video, subtitles.set_position(('center', 'bottom'))]) final.write_videofile(output_path, codec='libx264', audio_codec='aac')
Tips and Best Practices
- Always test with small amounts before committing significant funds.
- Bookmark the official websites of tools mentioned in this guide to avoid phishing.
- Keep detailed records of your transactions for tax reporting purposes.
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