A local agent template that automatically generates YouTube descriptions using GPT
Write your video content in input.txt, and GPT will automatically generate a complete YouTube description saved to the output/ folder.
This is a practical template for learning how to embed GPT into a workflow — not just chatting with it.
input.txt → [run.py + GPT API] → output/youtube_description.txt
template_agent_youtube/
├── run.py # Main agent script
├── input.txt # Video summary/notes input file
├── output/ # Generated description output folder
├── requirements.txt # Python dependencies
├── .env.example # Environment variable template (copy to .env)
└── .gitignore
python3 -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txtcp .env.example .envOpen .env and enter your API key:
OPENAI_API_KEY=sk-proj-your_api_key_here
Get your API key at OpenAI Platform.
Add your video content to input.txt in any format — summary, notes, or script.
Today's video is about building a local agent from scratch.
Put a file in the input folder and GPT processes it automatically.
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python run.pyThe result will be saved to output/youtube_description.txt.
Today's video covers how to build a local agent from scratch.
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✅ Who this is for
• Anyone curious about API-based automation
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#YouTubeAutomation #GPT #LocalAgent ...
- Never commit your
.envfile — it is excluded via.gitignore. - If your API key is exposed, revoke and regenerate it immediately at OpenAI Platform.
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