Audio to SRT Conversion and Algolia Upload Guide

Audio to SRT Conversion

Convert a single audio file to SRT:

1. Navigate to the project directory:

   cd batch-folder-audio-to-srt
   

2. Set up a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # For Linux/Mac
   

   For Windows:

   venv\Scripts\activate
   

3. Install dependencies:

   pip install git+https://github.com/openai/whisper.git
   

4. Convert an audio file (.m4a) to an SRT subtitle file:

   python3 audio-to-srt.py "/path/to/audio/file.m4a"
   

5. The generated .srt file will be saved in the ./SrtFiles directory where the script is executed.

Batch convert all audio files in a folder to SRT:

1. Navigate to the project directory:

   cd batch-folder-audio-to-srt
   

2. Run the batch conversion script:

   python3 run-for-folder.py
   

   Note: The input folder is hardcoded in the script. All SRT files will be saved to the ./SrtFiles directory.

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Upload SRT to Algolia Database

Upload a single SRT file to Algolia:

1. Use the .env-template to create and fill out a .env file, including your Algolia write access API key (find it here).
2. Navigate to the upload-srt-to-algolia directory:

   cd upload-srt-to-algolia
   

3. Run a connection test:

   python3 test.py
   

4. Upload the SRT file:

   python3 upload-srt-to-algolia.py "/path/to/subtitles.srt"
   

Upload an entire folder to Algolia:

1. Run the following script to check the number of quotes that would be uploaded:

   python3 find_quote_count.py "/path/to/srt/folder/"
   

2. To upload all SRT files from a folder:

   python3 upload_folder_to_algolia.py "/path/to/srt/folder/"
   

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Benchmarks

Processing Speed Example:

• File: "Livestream: TF2/CS:GO: April 14, 2012 (Pre Recorded) - Jerma985.m4a" (Length: 1:18:43)
• Time Taken: 18 minutes 27 seconds
• Processing Speed: 14.07 seconds per minute of audio

Estimate for processing a longer file:

• File Length: 1:58:14 (118 minutes)
• Estimated Time: 27.67 minutes
• Example:

  python3 convert.py "/path/to/long/audiofile.m4a"
  

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Virtual Environment Setup Guide

Setting up and using a virtual environment:

1. Activate the environment:
   • Windows:

     venv_name\Scripts\activate
     

   • Mac/Linux:

     source venv_name/bin/activate
     

2. Deactivate the environment:

   deactivate
   

3. Manage dependencies:
   • Freeze installed dependencies to a file:

     pip freeze > requirements.txt
     

   • Install dependencies from a file:

     pip install -r requirements.txt
     

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Convert YouTube to MP3

Download and convert YouTube videos to high-quality MP3:

yt-dlp -f bestaudio -x --audio-format mp3 --audio-quality 0 --add-metadata https://www.youtube.com/watch?v=AL2IkW4JWl4

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Convert MP3 to Text Transcript

1. Install Whisper:

   pip install -U openai-whisper
   sudo apt update && sudo apt install ffmpeg
   

2. Convert MP3 to text:

   whisper audio.mp3 --model medium
   

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WhisperX Diarization (Speaker Segmentation)

1. Install Conda.
2. Initialize Conda: Getting Started.
3. Follow the steps for installing WhisperX: WhisperX.
4. Ensure ffmpeg is installed and accessible from the command line.