README: Transcribing Audio Segments with OpenAI's Whisper Model

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Steps

Clone the Repo

run the Run.py

Input a csv file with youtube links in rows

Generate the subtitles

Download the csv file after completed

Ouput

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Introduction

This README provides an overview and instructions for using the provided Python script to transcribe audio segments using OpenAI's Whisper model. The script downloads audio segments from a YouTube video and transcribes them into text.

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Dependencies

Before running the script, ensure you have the following dependencies installed:

• Python 3.x
• PyTube (pip install pytube)
• MoviePy (pip install moviepy)
• Whisper (pip install openai-whisper)

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Usage

1. Clone the Repository:

   Clone the repository containing the Python script to your local machine.

2. Run the Script:

   Open a terminal or command prompt and navigate to the directory containing the Python script.

   Run the script using the following command:

3. Follow the Instructions:

• The script will prompt you to enter the URL of the YouTube video you want to transcribe.
• It will download the audio segments from the video and transcribe them using OpenAI's Whisper model.
• The detected language and recognized text for each audio segment will be printed in the terminal.

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Understanding the Script

• The script leverages the PyTube library to download audio segments from the specified YouTube video.
• It utilizes the Whisper model provided by OpenAI to transcribe the audio segments.
• Audio segments are processed using log-Mel spectrograms before being transcribed.
• The script outputs the detected language and recognized text for each audio segment.

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Notes

• Ensure you have an active internet connection to download the YouTube video and utilize the Whisper model.
• The provided script assumes that the audio segments are saved as "audio1.mp3", "audio2.mp3", and so on in the current directory.
• Make sure you have appropriate permissions to download and process the audio segments.

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Credits

• OpenAI for providing the Whisper model.
• PyTube and MoviePy developers for creating useful libraries for working with YouTube videos and audio processing in Python.

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Disclaimer

• This script is provided as-is and may require adjustments based on your specific requirements and environment.
• Use the script responsibly and ensure compliance with YouTube's terms of service and copyright policies.

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Feel free to reach out for further assistance or clarification. Happy transcribing!