litellm-mirror/litellm/tests/test_audio_speech.py

96 lines
2.4 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_litellm(sync_mode):
speech_file_path = Path(__file__).parent / "speech.mp3"
if sync_mode:
response = 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={},
)
from litellm.llms.openai import HttpxBinaryResponseContent
assert isinstance(response, HttpxBinaryResponseContent)
else:
response = await 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={},
)
from litellm.llms.openai import HttpxBinaryResponseContent
assert isinstance(response, HttpxBinaryResponseContent)
@pytest.mark.parametrize("mode", ["iterator"]) # "file",
@pytest.mark.asyncio
async def test_audio_speech_router(mode):
speech_file_path = Path(__file__).parent / "speech.mp3"
from litellm import Router
client = Router(
model_list=[
{
"model_name": "tts",
"litellm_params": {
"model": "openai/tts-1",
},
},
]
)
response = await client.aspeech(
model="tts",
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={},
)
from litellm.llms.openai import HttpxBinaryResponseContent
assert isinstance(response, HttpxBinaryResponseContent)