Multimodal
Audio Input Output
Examples
- Introduction
- Getting Started
- Agents
- Teams
- Workflows
- Applications
Agent Concepts
- Multimodal
- Audio Input Output
- Audio to text Agent
- Audio Sentiment Analysis Agent
- Blog to Podcast Agent
- Multi-turn Audio Agent
- Audio Streaming Agent
- Generate Images with Intermediate Steps
- Generate Music using Models Lab
- Generate Video using Models Lab
- Generate Video using Replicate
- Image to Audio Agent
- Image to Image Agent
- Image to Text Agent
- Video Caption Agent
- Video to Shorts Agent
- RAG
- Knowledge
- Memory
- Async
- Hybrid Search
- Storage
- Tools
- Vector Databases
- Embedders
Models
- Anthropic
- AWS Bedrock
- AWS Bedrock Claude
- Azure AI Foundry
- Azure OpenAI
- Cohere
- DeepInfra
- DeepSeek
- Fireworks
- Gemini
- Groq
- Hugging Face
- Mistral
- NVIDIA
- Ollama
- OpenAI
- Perplexity
- Together
- xAI
- IBM
- LM Studio
- LiteLLM
- LiteLLM OpenAI
Multimodal
Audio Input Output
Code
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
# 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
agent = Agent(
model=OpenAIChat(
id="gpt-4o-audio-preview",
modalities=["text", "audio"],
audio={"voice": "alloy", "format": "wav"},
),
markdown=True,
)
agent.run(
"What's in these recording?",
audio=[Audio(content=wav_data, format="wav")],
)
if agent.run_response.response_audio is not None:
write_audio_to_file(
audio=agent.run_response.response_audio.content, filename="tmp/result.wav"
)
Usage
1
Create a virtual environment
Open the Terminal
and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2
Set your API key
export OPENAI_API_KEY=xxx
3
Install libraries
pip install -U openai agno
4
Run Agent
python cookbook/agent_concepts/multimodal/audio_input_output.py