Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
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import requests from agno.agent import Agent from agno.media import Audio from agno.models.google import Gemini agent = Agent( model=Gemini(id="gemini-2.0-flash-exp"), markdown=True, ) url = "https://agno-public.s3.amazonaws.com/demo_data/sample_conversation.wav" response = requests.get(url) audio_content = response.content agent.print_response( "Give a sentiment analysis of this audio conversation. Use speaker A, speaker B to identify speakers.", audio=[Audio(content=audio_content)], stream=True, )
Create a virtual environment
Terminal
python3 -m venv .venv source .venv/bin/activate
python3 -m venv .venv .venv/scripts/activate
Set your API key
export GOOGLE_API_KEY=xxx
Install libraries
pip install google-genai
Run Agent
python cookbook/agent_concepts/multimodal/audio_sentiment_analysis.py
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