> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Image Agent with File Upload

> Upload a local image file to Gemini and pass it to an agent.

## Code

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

from agno.agent import Agent
from agno.media import Image
from agno.models.google import Gemini
from agno.tools.websearch import WebSearchTools
from google.generativeai import upload_file
from google.generativeai.types import file_types

agent = Agent(
    model=Gemini(id="gemini-2.0-flash-exp"),
    tools=[WebSearchTools()],
    markdown=True,
)
# Please download the image using
# wget https://upload.wikimedia.org/wikipedia/commons/b/bf/Krakow_-_Kosciol_Mariacki.jpg
image_path = Path(__file__).parent.joinpath("Krakow_-_Kosciol_Mariacki.jpg")
image_file: file_types.File = upload_file(image_path)
print(f"Uploaded image: {image_file}")

agent.print_response(
    "Tell me about this image and give me the latest news about it.",
    images=[Image(content=image_file)],
    stream=True,
)
```

## Usage

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

**1. Download the image**

Save the image next to the script, at `cookbook/90_models/google/gemini/`:

```bash theme={null}
wget -P cookbook/90_models/google/gemini https://upload.wikimedia.org/wikipedia/commons/b/bf/Krakow_-_Kosciol_Mariacki.jpg
```

**2. Set your API key**

```bash theme={null}
export GOOGLE_API_KEY=xxx
```

**3. Install dependencies**

```bash theme={null}
uv pip install -U google-genai google-generativeai ddgs agno
```

**4. Run Agent**

Save the code above as `image_input_file_upload.py`, then run:

```bash theme={null}
python image_input_file_upload.py
```


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