Groq Translation Agent

"""
Groq Translation Agent
======================

Cookbook example for `groq/translation_agent.py`.
"""

import base64
from pathlib import Path

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.models.groq import GroqTools
from agno.utils.media import save_base64_data

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

path = "tmp/sample-fr.mp3"

agent = Agent(
    name="Groq Translation Agent",
    model=OpenAIChat(id="gpt-5.2"),
    tools=[GroqTools()],
    cache_session=True,
)

response = agent.run(
    f"Let's transcribe the audio file located at '{path}' and translate it to English. After that generate a new music audio file using the translated text."
)

if response and response.audio:
    base64_audio = base64.b64encode(response.audio[0].content).decode("utf-8")
    save_base64_data(base64_audio, Path("tmp/sample-en.mp3"))  # type: ignore

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

from pathlib import Path

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.models.groq import GroqTools

input_path = Path("tmp/sample-fr.mp3")
if not input_path.is_file():
    raise FileNotFoundError(f"Place a French MP3 at {input_path} before running.")

agent = Agent(
    name="Groq Translation Agent",
    model=OpenAIChat(id="gpt-5.2"),
    tools=[
        GroqTools(
            tts_model="canopylabs/orpheus-v1-english",
            tts_voice="hannah",
        )
    ],
)
response = agent.run(
    f"Translate the French audio file at '{input_path}' to English, "
    "then use generate_speech to produce spoken English from the translated text."
)

if not response.audio or not response.audio[0].content:
    raise RuntimeError("The agent returned no speech audio. Inspect the run for tool errors.")

output_path = Path("tmp/sample-en.wav")
output_path.write_bytes(response.audio[0].content)
print(f"Saved English speech to {output_path}")