The Ultimate AI Tool for Video Summarization and Analysis

Another day, another more comprehensive solution to our problems. This is Jill Ihuma. MLSA-Beta I am from Pakistan and I am here for people who always struggle to find the best data on YouTube for their needs.

YouTubeGPT is an imaginative AI-powered application that allows users to interact with YouTube data, leveraging GPT technology to summarize, analyze, and provide insights into video content. A cutting-edge solution for anyone looking to make sense of massive amounts of YouTube data, whether it’s for content creation, market research, or concise video summaries.

In this article, we’ll look at what YouTubeGPT is, how it works, and provide a detailed step-by-step guide on how to set up and run YouTubeGPT effectively.

What is YouTubeGPT?

YouTubeGPT specifically processes YouTube videos using natural language processing (NLP) and machine learning models based on OpenAI’s GPT. The goal is to enable users to:

1. YouTube video summary – Provide key takeaways from long or complex videos.
2. Trend Analysis – Provides insights into trending topics, audience engagement, and more.
3. Automate content creation – Automatically generate content summaries or highlight videos from YouTube videos.

Whether you’re a creator looking to streamline the content creation process or a viewer looking to extract the essence of a video without watching the entire content, YouTubeGPT can be a useful tool.

Key Features

Video summary: Automatically generate concise summaries of long videos.

audience insight: Use AI to analyze engagement metrics and provide actionable insights.

Natural language query: Interact with video data by asking questions in plain language.

Seamless integration with YouTube: Fetch and analyze videos directly from the YouTube API.

Now let’s get to the nitty-gritty: how to set up and run YouTubeGPT on your computer.

How to Run YouTubeGPT: Step-by-Step Guide

prerequisites

Before you begin, make sure you have the following set up on your computer:

1. .NET SDK: YouTubeGPT is built using .NET, so you’ll need to install the .NET SDK. You can download it from: [Microsoft’s official .NET website]
2. Docker: You’ll need Docker to set up a service like PostgreSQL for data storage.
3. Access the Azure OpenAI service or OpenAI API key.

• For Azure OpenAI, you need to set up an account and generate an API key at: Azure OpenAI service.
• For OpenAI API, get your API key from: Open AI.

YouTubeGPT settings

Here’s how to set up and run YouTubeGPT on your local computer:

1. Repository replication

first, YouTubeGPT project repository on GitHub Or your local code repository:

git clone https://github.com/Azure-Samples/YouTubeGPT.git

2. Go to project directory

After cloning, navigate to the project directory where your main application is located.

 cd YouTubeGPT/src/YouTubeGPT.AppHost

3. Check if Docker is running

YouTubeGPT uses Docker to handle PostgreSQL databases. Make sure the Docker service is running.

1. For Windows: Start Docker Desktop.
2. Linux/Mac: Use the terminal command `sudo service docker start`.

4. Run application

YouTubeGPT is built using .NET, so the next step is to run it using the ‘dotnet’ command.

  dotnet run

When you run this command, the system builds the application and starts the distributed application. You will see logs similar to the following:

  Building...

   info: Aspire.Hosting.DistributedApplication[0]

         Aspire version: 8.2.0

   info: Aspire.Hosting.DistributedApplication[0]

         Distributed application starting.

   info: Aspire.Hosting.DistributedApplication[0]

         Now listening on: https://localhost:15015

   info: Aspire.Hosting.DistributedApplication[0]

         Login to the dashboard at https://localhost:15015/login

5. Troubleshooting common problems

At this point, you may run into some common issues, including your PostgreSQL container not being set up correctly. For example, you may see the following error:

   Error handling TCP connection {"Service": {"name":"postgres"}, "error": "no endpoints configured"}

This error typically occurs when Docker cannot pull or configure the required PostgreSQL image. You can fix this by manually importing the correct image using:

docker pull postgres:latest

After importing the image, run the application again.

6. Access your dashboard

If everything is running smoothly, go to the URL provided in the log, e.g. https://localhost:15015/login) access the YouTubeGPT dashboard. You will need to log in using the provided token.

After successfully logging in, the following screen will appear: Click the endpoint of YouTubeGPTClient.

And Bam, you are now in the world of YouTubeGPT. Ask any questions you want answered here.

7. Interaction with YouTube data

Example: Search for a recipe using YouTubeGPT

Now let’s see how YouTubeGPT works by searching for a recipe video. For this example, we’ll find a video on ‘How to make lasagna’ and let YouTubeGPT do the rest.

Step 1: Enter your query

When you enter the YouTubeGPT dashboard, a search box will appear where you can enter a search term. In this example, we’ll search for videos about lasagna.

question: “Find a video on how to make lasagna and summarize it.”

Step 2: YouTubeGPT searches and analyzes your video.

YouTubeGPT uses the YouTube Data API to retrieve related videos. The model then processes the descriptions of the most relevant videos and provides a summary based on that context.

Example output:

summation:

“This video walks you through the step-by-step process of making lasagna from scratch. It covers preparing the ingredients, including making the meat sauce, assembling the layers of ricotta and mozzarella cheese, and laying out the pasta sheets. The video ends with the cheese getting a perfect golden brown color while baking. Tips on how to make the crust are included. Total cooking time is approximately 1 hour.

Step 3: Link to original video

After the summary, YouTubeGPT also provides a direct link to the original video for further reference.

Youtube video link: lasagna recipe Video (not linked anywhere, just here for demonstration)

After installation: Additional customization

YouTubeGPT is highly customizable, so you can adjust various settings as per your requirements.

• API Key: Insert your YouTube data API key to get video details.
• Database: If you plan to use a different database (e.g. MySQL), update your database connection settings accordingly.

Common errors and debugging tips

1. Docker container issues: If Docker fails to fetch or start containers, make sure Docker is properly installed and authenticated. Command to manually import images:

   docker pull dpage/pgadmin4:8.11

2. Database port conflict: If you receive an error related to the PostgreSQL port, make sure that port (usually 5432) is not being used by another service.

final thoughts

Running YouTubeGPT opens up a world of possibilities for interacting with and analyzing your YouTube data in more meaningful ways. Whether you want to automate your video content creation or simply analyze popular topics, this powerful tool can help you do it efficiently.

This guide covers the basic setup and running process. If you want to scale your application or integrate it with more complex systems, you may need to look more closely at its architecture and customize your deployment process accordingly.

Have fun experimenting with YouTubeGPT!