> ## 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 Video Input Local File Upload

> Pass a local video file to Gemini and ask the agent to describe its contents.

```python video_input_local_file_upload.py theme={null}
"""
Google Video Input Local File Upload
====================================

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

from pathlib import Path

from agno.agent import Agent
from agno.media import Video
from agno.models.google import Gemini

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

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

# Get sample videos from https://www.pexels.com/search/videos/sample/
video_path = Path(__file__).parent.joinpath("sample_video.mp4")

agent.print_response("Tell me about this video?", videos=[Video(filepath=video_path)])

# ---------------------------------------------------------------------------
# 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 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 `video_input_local_file_upload.py`, then run:

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

Full source: [cookbook/90\_models/google/gemini/video\_input\_local\_file\_upload.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/google/gemini/video_input_local_file_upload.py)


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