LinkedIn Content Crew

This project is designed to automate the creation of LinkedIn content using AI agents. The agents are responsible for researching a topic, writing an article, reviewing the content, and generating relevant code examples to enrich the article.

Technologies Used

• Python: The main programming language used for the project.
• CrewAI: A framework for creating and managing AI agents.
• LangChain: A library for building language model applications.
• LLM (Large Language Model): Used for generating content and code examples.
• Tavily API: Used for research purposes.
• Groq API: Used for writing and reviewing content.

Project Structure

• src/crew.py: Contains the main class LinkedInContentCrew which orchestrates the content creation process.
• src/ai_agents.py: Contains the implementation of various AI agents including ResearcherAgent, WriterAgent, ReviewerAgent, and CoderAgent.
• src/utils/init.py: Utility functions and classes used across the project.
• requirements.txt: Lists the dependencies required for the project.
• README.md: This file.

How to Run the Application

1. Clone the repository:

   git clone https://github.com/allysonbarros/crewai_linkedin_post_pipeline
   cd crewai_linkedin_post_pipeline

2. Install the dependencies:

   pip install -r requirements.txt

3. Set up environment variables: Create a .env file in the root directory and add your API keys:

   TAVILY_API_KEY=your_tavily_api_key
   GROQ_API_KEY=your_groq_api_key

4. Run the application:

   streamlit main.py