Build a youtube video summary python olama

Creating a precis of YouTube movies can store time for viewers by means of presenting key points and highlights. With Python and OpenAI’s language version API, you can automate the process of summarizing video content material. This article will guide you thru the steps to build a YouTube video summary tool.

Table of Contents

1. Introduction Environment
2. Extracting YouTube Video Transcripts
3. Using OpenAI API for S
4. Prerequisites
5. Setting Up the
6. ummarization
7. Combining the Transcript and Summary
8. Final Thoughts

Introduction

With the vast amount of content material on YouTube, it can be difficult to maintain up with all the motion pictures. Summarizing videos permits visitors to grasp the main thoughts with out watching the whole content material. Using Python and the OpenAI API, we are able to automate the summarization method, supplying concise and informative summaries.

Prerequisites

Before we begin, make certain you have got the following:

• Python established to your machine
• OpenAI API key
• Basic knowledge of Python programming

Setting Up the Environment

First, we want to installation our Python surroundings build a youtube video summary python olama . Install the required libraries using pip:

bash
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pip deploy openai youtube-transcript-api

Extracting YouTube Video Transcripts

To summarize a YouTube video, we first want to extract its transcript. We can use the youtube-transcript-api for this reason.

Code to Extract Transcripts

python
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from youtube_transcript_api import YouTubeTranscriptApi

def get_transcript(video_id):
    transcript = YouTubeTranscriptApi.Get_transcript(video_id)
    transcript_text = " ".Be a part of([object['text'] for item in transcript])
    go back transcript_text

# Example usage
video_id = 'your_video_id_here'
transcript = get_transcript(video_id)
print(transcript)

Using OpenAI API for Summarization

Next, we’re going to use the OpenAI API to summarize the transcript. Ensure you’ve got your API key geared up.

Code to Summarize Text

python
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import openai

openai.Api_key = 'your_openai_api_key_here'

def summarize_text(text):
    reaction = openai.Completion.Create(
        engine="text-davinci-004",
        set off=f"Summarize the subsequent text:nntext",
        max_tokens=150,
        n=1,
        forestall=None,
        temperature=zero.Five,
    )
    summary = reaction.Picks[0].Text.Strip()
    return summary

# Example utilization
summary = summarize_text(transcript)
print(summary)

Combining the Transcript and Summary

Now, we integrate the features to create a whole workflow for summarizing YouTube movies.

Complete Workflow Code

python
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from youtube_transcript_api import YouTubeTranscriptApi
import openai

openai.Api_key = 'your_openai_api_key_here'

def get_transcript(video_id):
    transcript = YouTubeTranscriptApi.Get_transcript(video_id)
    transcript_text = " ".Join([object['text'] for item in transcript])
    return transcript_text

def summarize_text(text):
    reaction = openai.Completion.Create(
        engine="text-davinci-004",
        prompt=f"Summarize the following textual content:nntextual content",
        max_tokens=150,
        n=1,
        prevent=None,
        temperature=zero.5,
    )
    precis = reaction.Choices[0].Textual content.Strip()
    return precis

def summarize_youtube_video(video_id):
    transcript = get_transcript(video_id)
    precis = summarize_text(transcript)
    go back summary

# Example usage
video_id = 'your_video_id_here'
summary = summarize_youtube_video(video_id)
print("Summary:", precis)

Final Thoughts

With this manual, you could construct a device to summarize YouTube motion pictures routinely using Python and OpenAI’s powerful build a youtube video summary python olama  language version. This can save visitors time and help them quickly apprehend the important thing points of a video. Feel loose to beautify this tool with extra features inclusive of saving summaries to a report or integrating it into an internet utility.