TubeSage – Initial Setup & API Key Configuration

Repository

GitHub Repository: TubeSage

Prerequisites

Before running TubeSage, ensure you have the following installed on your system:

• Python 3.8 or later
• pip (Python package manager)

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1️⃣ Clone the Repository

Open a terminal and run:

git clone https://github.com/itselliott/TubeSage.git
cd TubeSage

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2️⃣ Install Dependencies

Install the required Python libraries:

pip install -r requirements.txt

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3️⃣ Get Your API Keys

OpenAI API Key (For AI Analysis)

1. Go to OpenAI's API Page: OpenAI API Keys
2. Sign in or create an account.
3. Click “Create API Key” and copy the generated key.
4. Do not share your key – it is private and linked to your OpenAI account.

YouTube API Key (For Video Stats & Transcripts)

1. Go to Google Cloud Console: Google Cloud Console
2. Create a new project or select an existing one.
3. Enable the YouTube Data API v3:
   • Navigate to the API Library.
   • Search for YouTube Data API v3 and click Enable.
4. Generate an API Key:
   • Go to Credentials > Click Create Credentials > Select API Key.
   • Copy the generated key.

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4️⃣ Store API Keys Securely

You need to set up a .env file to store your API keys securely.

1. Create a .env file in the root directory:

   touch .env

2. Open .env in a text editor and add:

   OPENAI_API_KEY=your_openai_api_key_here
   YOUTUBE_API_KEY=your_youtube_api_key_here
   

   Replace your_openai_api_key_here and your_youtube_api_key_here with your actual API keys.

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5️⃣ Run the Application

Once everything is set up, start the app by running:

python main.py

This will launch the TubeSage GUI, allowing you to analyze YouTube videos.

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Troubleshooting

• If you get an API key missing error, ensure your .env file is correctly formatted and saved.
• If dependencies are missing, try:

  pip install -r requirements.txt

• If the app crashes, restart your terminal and run:

  python main.py

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Now you can set up TubeSage independently and start analyzing YouTube videos.