Skip to main content
"""
Audio Sentiment Analysis
========================

Demonstrates team-based transcription and sentiment analysis for audio conversations.
"""

import requests
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.media import Audio
from agno.models.google import Gemini
from agno.team import Team

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
transcription_agent = Agent(
    name="Audio Transcriber",
    role="Transcribe audio conversations accurately",
    model=Gemini(id="gemini-3-flash-preview"),
    instructions=[
        "Transcribe audio with speaker identification",
        "Maintain conversation structure and flow",
    ],
)

sentiment_analyst = Agent(
    name="Sentiment Analyst",
    role="Analyze emotional tone and sentiment in conversations",
    model=Gemini(id="gemini-3-flash-preview"),
    instructions=[
        "Analyze sentiment for each speaker separately",
        "Identify emotional patterns and conversation dynamics",
        "Provide detailed sentiment insights",
    ],
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
sentiment_team = Team(
    name="Audio Sentiment Team",
    members=[transcription_agent, sentiment_analyst],
    model=Gemini(id="gemini-3-flash-preview"),
    instructions=[
        "Analyze audio sentiment with conversation memory.",
        "Audio Transcriber: First transcribe audio with speaker identification.",
        "Sentiment Analyst: Analyze emotional tone and conversation dynamics.",
    ],
    add_history_to_context=True,
    markdown=True,
    db=SqliteDb(
        session_table="audio_sentiment_team_sessions",
        db_file="tmp/audio_sentiment_team.db",
    ),
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    url = "https://agno-public.s3.amazonaws.com/demo_data/sample_conversation.wav"
    response = requests.get(url)
    audio_content = response.content

    sentiment_team.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,
    )

    sentiment_team.print_response(
        "What else can you tell me about this audio conversation?",
        stream=True,
    )

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/03_teams/multimodal

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python audio_sentiment_analysis.py