Skip to content

Latest commit

 

History

History
75 lines (47 loc) · 3.06 KB

README.md

File metadata and controls

75 lines (47 loc) · 3.06 KB
Raw

YoutubeYapperTrapper Crew

Welcome to the YoutubeYapperTrapper Crew project, powered by CrewAI + AgentOps for observability + YouTube Data API. This project allows agents to take a given YouTube URL, extracts all the comments, and generates a final report with insights to inform better content creation.

Crew architecture diagram

Crew Architecture

Video tutorial

Watch the video

Installation

Ensure you have Python >=3.10 <=3.13 installed on your system. This project uses Poetry for dependency management and package handling, offering a seamless setup and execution experience.

First, if you haven't already, install Poetry:

pip install poetry

Next, navigate to your project directory and install the dependencies:

  1. First lock the dependencies and then install them:
poetry lock
poetry install

Customizing

Add your OPENAI_API_KEY into the .env file if you want to use it.

  • Modify src/youtube_yapper_trapper/config/agents.yaml to define your agents
  • Modify src/youtube_yapper_trapper/config/tasks.yaml to define your tasks
  • Modify src/youtube_yapper_trapper/crew.py to add your own logic, tools and specific args
  • Modify src/youtube_yapper_trapper/main.py to add custom inputs for your agents and tasks

Running the Project

Rename the .env_example file to .env, add your API keys, and save the file.

To kickstart your crew of AI agents and begin task execution, run this from the root folder of your project:

poetry run youtube_yapper_trapper

This command initializes the youtube-yapper-trapper Crew, assembling the agents and assigning them tasks as defined in your configuration.

This example, unmodified, will run the create a report.md file with the output of a research on LLMs in the root folder.

Understanding Your Crew

The youtube-yapper-trapper Crew is composed of multiple AI agents, each with unique roles, goals, and tools. These agents collaborate on a series of tasks, defined in config/tasks.yaml, leveraging their collective skills to achieve complex objectives. The config/agents.yaml file outlines the capabilities and configurations of each agent in your crew.

Support

For support, questions, or feedback regarding the YoutubeYapperTrapper crew, CrewAI, or AgentOps.

Let's create wonders together with the power and simplicity of CrewAI.