> ## 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 Audio Input Bytes Content

> Pass a downloaded WAV file to Gemini as raw audio bytes for analysis.

```python audio_input_bytes_content.py theme={null}
"""
Google Audio Input Bytes Content
================================

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

import requests
from agno.agent import Agent
from agno.media import Audio
from agno.models.google import Gemini

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

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

url = "https://openaiassets.blob.core.windows.net/$web/API/docs/audio/alloy.wav"

# Download the audio file from the URL as bytes
response = requests.get(url)
audio_content = response.content

agent.print_response(
    "Tell me about this audio",
    audio=[Audio(content=audio_content)],
)

# ---------------------------------------------------------------------------
# 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 requests
```

**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 `audio_input_bytes_content.py`, then run:

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

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


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