> ## Documentation Index
> Fetch the complete documentation index at: https://docs.phidata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Python Agent

Create a file `python_agent.py` with the following code:

```python python_agent.py theme={null}
from pathlib import Path

from phi.agent.python import PythonAgent
from phi.model.openai import OpenAIChat
from phi.file.local.csv import CsvFile

cwd = Path(__file__).parent.resolve()
tmp = cwd.joinpath("tmp")
if not tmp.exists():
    tmp.mkdir(exist_ok=True, parents=True)

python_agent = PythonAgent(
    model=OpenAIChat(id="gpt-4o"),
    base_dir=tmp,
    files=[
        CsvFile(
            path="https://phidata-public.s3.amazonaws.com/demo_data/IMDB-Movie-Data.csv",
            description="Contains information about movies from IMDB.",
        )
    ],
    markdown=True,
    pip_install=True,
    show_tool_calls=True,
)
python_agent.print_response("What is the average rating of movies?")
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install libraries">
    ```bash theme={null}
    pip install openai phidata
    ```
  </Step>

  <Step title="Run the agent">
    ```bash theme={null}
    python python_agent.py
    ```
  </Step>
</Steps>