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@@ -116,18 +116,6 @@ This tool can process audio files of any length. For files longer than 30 second
2. Processes each chunk separately
3. Combines the results into a single transcript
This approach allows for efficient processing of longer content while managing memory usage. However, be aware that:
- Longer files will take proportionally more time to process
- Very long files (>30 minutes) may require significant processing time, especially on CPU
- For extremely long content, consider splitting the audio file into smaller segments before processing
If you encounter memory issues with very long files, you can try:
1. Using a smaller Whisper model by changing `WHISPER_MODEL` to "openai/whisper-base"
2. Reducing the `chunk_length_s` parameter in the `transcribe_file` function
3. Processing the file in separate parts and combining the summaries afterward
## Sources
- [YouTube Video Summarizer with OpenAI Whisper and GPT](https://github.com/mirabdullahyaser/Summarizing-Youtube-Videos-with-OpenAI-Whisper-and-GPT-3/tree/master)