Skip to main content

Python script to extract video transcripts based on the video id, and summarize the text content using the GPT-3.5 Turbo model.

Project description

YouTube Video Summarizer

The YouTube Video Summarizer is a Python script that allows you to extract video transcripts based on the video id, and summarize the text content using the GPT-3.5 Turbo model. You can apply the script to video of any language under the condition the video creator do not disable the transcript of the videos intentionally. By default video in German and English will be summarized in these languages, Summaries of videos spoken in all other languages will be in English.

Summarizing long YouTube videos and interesting videos which have high number of viewers in different languages can offer several advantages:

  • Time-saving: Summaries provide a concise overview of the video's content, allowing viewers to quickly grasp the main points without spending significant time watching the entire video. This is particularly beneficial for busy individuals who want to extract key information efficiently.

  • Enhanced accessibility: Videos in different languages may have a language barrier for viewers who don't understand the spoken language. Summarizing these videos can help bridge the gap by providing a summarized version in a language that viewers understand, making the content more accessible and inclusive.

  • Improved comprehension: Some videos, especially those covering complex or technical topics, may be challenging to understand fully. Summaries provide a simplified version of the content, breaking it down into key ideas and concepts. This aids comprehension, ensuring that viewers grasp the essential information.

  • Multilingual support: YouTube is a global platform with a diverse audience. Summarizing videos in different languages caters to viewers from various language backgrounds, enabling them to access and understand the content better. This expands the reach and impact of the video, reaching a wider audience.

  • Content curation: Summarizing popular videos with a high number of viewers helps curate and highlight the most relevant information. By distilling the main points, viewers can quickly evaluate whether the video aligns with their interests or needs. This can save time for viewers who are exploring multiple videos within a particular topic.

Overall, summarizing long YouTube videos and interesting videos with a high number of viewers in different languages offers time-saving benefits, accessibility improvements, enhanced comprehension, multilingual support, content curation, and knowledge sharing opportunities.

Prerequisites

  • Python 3.x
  • Google API Key
  • OpenAI API Key

usage

you have to pass your Youtube API Key and OpenAI API Key as parameters to the YouTubeVideoSummarizer constructor as following

summarizer = YouTubeVideoSummarizer(your Youtube API Key, your OpenAI API Key)

then

transcript,lang = summarizer.get_transcript(video_id)

and afterwards call

summary = summarizer.summarize_text(transcript,lang)

and if you want to save it to a file ( text or audio file )

summarizer.write_to_textfile(video_id,summary)

or

summarizer.convert_to_audio(summary)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

yt_summarizer-0.1.4.tar.gz (6.3 kB view details)

Uploaded Source

File details

Details for the file yt_summarizer-0.1.4.tar.gz.

File metadata

  • Download URL: yt_summarizer-0.1.4.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for yt_summarizer-0.1.4.tar.gz
Algorithm Hash digest
SHA256 cb27531ac5292943f8aabd10ffc3070762b798ef41317795ebe1ed8f8c93354d
MD5 f9633d6e4360e2e8a879b833b4a01486
BLAKE2b-256 4fefbafdcc5f50a958d7ebb19572f085b8fb1df88cbf91a32450747f7e35e519

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page