Image to Text Analysis

This example demonstrates how to create an agent that can analyze images and generate creative text content based on the visual content.

Code

image_to_text.py

from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIChat

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    markdown=True,
)

image_path = Path(__file__).parent.joinpath("sample.jpg")
agent.print_response(
    "Write a 3 sentence fiction story about the image",
    images=[Image(filepath=image_path)],
)

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   

2. Install libraries

   pip install -U agno openai
   

3. Export your OpenAI API key

   Mac/Linux

     export OPENAI_API_KEY="your_openai_api_key_here"
   

4. Create a Python file

   Create a Python file and add the above code.

   touch image_to_text.py
   

5. Run Agent

   Mac

   python image_to_text.py
   

6. Find All Cookbooks

   Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:

   Agno Cookbooks on GitHub