audio_sentiment_analysis.py
"""
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-3.5-flash"),
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
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 google-genai requests sqlalchemy
3
Export your Google API key
export GOOGLE_API_KEY="your_google_api_key_here"
$Env:GOOGLE_API_KEY="your_google_api_key_here"
4
Run the example
Save the code above as
audio_sentiment_analysis.py, then run:python audio_sentiment_analysis.py