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"""
Audio Sentiment Analysis
=============================
Audio Sentiment Analysis.
"""
import requests
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.media import Audio
from agno.models.google import Gemini
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=Gemini(id="gemini-3-flash-preview"),
add_history_to_context=True,
markdown=True,
db=SqliteDb(
session_table="audio_sentiment_analysis_sessions",
db_file="tmp/audio_sentiment_analysis.db",
),
)
url = "https://agno-public.s3.amazonaws.com/demo_data/sample_conversation.wav"
response = requests.get(url)
audio_content = response.content
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# Give a sentiment analysis of this audio conversation. Use speaker A, speaker B to identify speakers.
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,
)
agent.print_response(
"What else can you tell me about this audio conversation?",
stream=True,
)
Run the Example
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# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/02_agents/12_multimodal
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
python audio_sentiment_analysis.py