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This example demonstrates how to create an agent that can transcribe audio conversations, identifying different speakers and providing accurate transcriptions.

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Code

audio_to_text.py
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.us-east-1.amazonaws.com/demo_data/QA-01.mp3"

response = requests.get(url)
audio_content = response.content

# Give a transcript of this audio conversation. Use speaker A, speaker B to identify speakers.

agent.print_response(
    "Give a transcript of this audio conversation. Use speaker A, speaker B to identify speakers.",
    audio=[Audio(content=audio_content)],
    stream=True,
)

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno google-generativeai requests
3

Export your GOOGLE API key

  export GOOGLE_API_KEY="your_google_api_key_here"
4

Create a Python file

Create a Python file and add the above code.
touch audio_to_text.py
5

Run Agent

python audio_to_text.py
6

Find All Cookbooks

Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:Agno Cookbooks on GitHub
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