audio_input_output.py
"""
Audio Input Output
=============================
Audio Input Output.
"""
import requests
from agno.agent import Agent
from agno.media import Audio
from agno.models.openai import OpenAIChat
from agno.utils.audio import write_audio_to_file
from rich.pretty import pprint
# Fetch the audio file and convert it to a base64 encoded string
url = "https://openaiassets.blob.core.windows.net/$web/API/docs/audio/alloy.wav"
response = requests.get(url)
response.raise_for_status()
wav_data = response.content
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=OpenAIChat(
id="gpt-audio",
modalities=["text", "audio"],
audio={"voice": "sage", "format": "wav"},
),
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
run_response = agent.run(
"What's in these recording?",
audio=[Audio(content=wav_data, format="wav")],
)
if run_response.response_audio is not None:
pprint(run_response.content)
write_audio_to_file(
audio=run_response.response_audio.content, filename="tmp/result.wav"
)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai requests
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
audio_input_output.py, then run:python audio_input_output.py