CrewAI

A simple CrewAI example

This simple example creates a single agent (Writer) which receives a tech topic and creates a small blog-post. The output is a markdown file. The important thing here is the integration with ollama. Ollama allows easy access to a list of LLMs.

Ollama set-up

Install Ollama. You can find information at Ollama or Ollama_github
Download one model with the ollama pull {name_of_the_model} e.g. ollama pull gemma:2b to download and use locally the gemma:2b model
Create a Modelfile. Authors of CrewAI suggest you create a custom modelfile. So, create a file named customModelfile. Inside write:
- ```
FROM gemma:2b
PARAMETER temperature 0.8
PARAMETER stop Result
```
- ollama create CrewAI -f ./customModelfile note: Replace ./customModelfile with your actual path.
Make sure that the model exist by showing all the models you have available with the following command:
- ollama list
Make sure that ollama is running with the following command:
- ollama run CrewAI
- To leave the chat write on the terminal /bye

Create your prefered virtual environment

Use the command in your terminal: python -m venv /path/to/new/virtual/environment and then activate the venv.
python -m venv .venv
Windows version: venv\Scripts\activate
Then install all depedencies by: pip3 install -r requirements.txt
Then create a new folder inside your working folder e.g. crew.
Then paste the following files inside:
- .env
- main.py
Create a new folder inside and name it : blog-posts

Set up you .env file

The only thing you need to change is the OPENAI_MODEL_NAME=. Make sure that you put the name you gave in the custom model. e.g. CrewAI

Run the main.py

cd into the Crew folder: cd crew
python main.py

Seniaxz/CrewAI-simple

CrewAI

A simple CrewAI example

Ollama set-up

Create your prefered virtual environment

Set up you .env file

Run the main.py