From c1ff237d25cda205aca3358be69f129ab14f9ed6 Mon Sep 17 00:00:00 2001 From: darnodo Date: Fri, 28 Mar 2025 13:05:30 +0100 Subject: [PATCH] chore(cleaning) : Readme --- README.md | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/README.md b/README.md index edde61d..2d26e7c 100644 --- a/README.md +++ b/README.md @@ -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)