litellm-mirror/litellm/tests/test_audio_speech.py

91 lines
2.6 KiB
Python

# What is this?
## unit tests for openai tts endpoint
import sys, os, asyncio, time, random, uuid
import traceback
from dotenv import load_dotenv
load_dotenv()
import os
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import pytest
import litellm, openai
from pathlib import Path
@pytest.mark.parametrize("sync_mode", [True, False])
@pytest.mark.asyncio
async def test_audio_speech_openai(sync_mode):
speech_file_path = Path(__file__).parent / "speech.mp3"
openai_chat_completions = litellm.OpenAIChatCompletion()
if sync_mode:
with openai_chat_completions.audio_speech(
model="tts-1",
voice="alloy",
input="the quick brown fox jumped over the lazy dogs",
api_base=None,
api_key=None,
organization=None,
project=None,
max_retries=1,
timeout=600,
client=None,
optional_params={},
) as response:
response.stream_to_file(speech_file_path)
else:
async with openai_chat_completions.async_audio_speech(
model="tts-1",
voice="alloy",
input="the quick brown fox jumped over the lazy dogs",
api_base=None,
api_key=None,
organization=None,
project=None,
max_retries=1,
timeout=600,
client=None,
optional_params={},
) as response:
speech = await response.parse()
@pytest.mark.parametrize("sync_mode", [True, False])
@pytest.mark.asyncio
async def test_audio_speech_litellm(sync_mode):
speech_file_path = Path(__file__).parent / "speech.mp3"
if sync_mode:
with litellm.speech(
model="openai/tts-1",
voice="alloy",
input="the quick brown fox jumped over the lazy dogs",
api_base=None,
api_key=None,
organization=None,
project=None,
max_retries=1,
timeout=600,
client=None,
optional_params={},
) as response:
response.stream_to_file(speech_file_path)
else:
async with litellm.aspeech(
model="openai/tts-1",
voice="alloy",
input="the quick brown fox jumped over the lazy dogs",
api_base=None,
api_key=None,
organization=None,
project=None,
max_retries=1,
timeout=600,
client=None,
optional_params={},
) as response:
await response.stream_to_file(speech_file_path)