> ## 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.

# Google Image Input

> Pass an image URL to a Gemini agent and fetch related news with web search.

```python image_input.py theme={null}
"""
Google Image Input
==================

Cookbook example for `google/gemini/image_input.py`.
"""

from agno.agent import Agent
from agno.media import Image
from agno.models.google import Gemini
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=Gemini(id="gemini-3.7-flash"),
    tools=[WebSearchTools()],
    markdown=True,
)

agent.print_response(
    "Tell me about this image and give me the latest news about it.",
    images=[
        Image(
            url="https://upload.wikimedia.org/wikipedia/commons/b/bf/Krakow_-_Kosciol_Mariacki.jpg"
        ),
    ],
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass
```

## Run the Example

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

**1. Install dependencies**

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

**2. Export your Google API key**

```bash Mac/Linux theme={null}
export GOOGLE_API_KEY="your_google_api_key_here"
```

```bash Windows theme={null}
$Env:GOOGLE_API_KEY="your_google_api_key_here"
```

**3. Run the example**

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

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

Full source: [cookbook/90\_models/google/gemini/image\_input.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/google/gemini/image_input.py)


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