import requests
from agno.agent import Agent
from agno.media import Audio
from agno.models.google import Gemini
from agno.team import Team
transcription_specialist = Agent(
name="Transcription Specialist",
role="Convert audio to accurate text transcriptions",
model=Gemini(id="gemini-2.0-flash-exp"),
instructions=[
"Transcribe audio with high accuracy",
"Identify speakers clearly as Speaker A, Speaker B, etc.",
"Maintain conversation flow and context",
],
)
content_analyzer = Agent(
name="Content Analyzer",
role="Analyze transcribed content for insights",
model=Gemini(id="gemini-2.0-flash-exp"),
instructions=[
"Analyze transcription for key themes and insights",
"Provide summaries and extract important information",
],
)
# Create a team for collaborative audio-to-text processing
audio_team = Team(
name="Audio Analysis Team",
model=Gemini(id="gemini-2.0-flash-exp"),
members=[transcription_specialist, content_analyzer],
instructions=[
"Work together to transcribe and analyze audio content.",
"Transcription Specialist: First convert audio to accurate text with speaker identification.",
"Content Analyzer: Analyze transcription for insights and key themes.",
],
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
audio_team.print_response(
"Give a transcript of this audio conversation. Use speaker A, speaker B to identify speakers.",
audio=[Audio(content=audio_content)],
stream=True,
)
