Files
LocalAI/backend/python/faster-qwen3-tts/test.py
LocalAI [bot] dfc6efb88d feat(backends): add faster-qwen3-tts (#8664)
* feat(backends): add faster-qwen3-tts

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix: this backend is CUDA only

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix: add requirements-install.txt with setuptools for build isolation

The faster-qwen3-tts backend requires setuptools to build packages
like sox that have setuptools as a build dependency. This ensures
the build completes successfully in CI.

Signed-off-by: LocalAI Bot <localai-bot@users.noreply.github.com>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Signed-off-by: LocalAI Bot <localai-bot@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-02-27 08:16:51 +01:00

105 lines
3.7 KiB
Python

"""
Tests for the faster-qwen3-tts gRPC backend.
"""
import unittest
import subprocess
import time
import os
import sys
import tempfile
import backend_pb2
import backend_pb2_grpc
import grpc
class TestBackendServicer(unittest.TestCase):
def setUp(self):
self.service = subprocess.Popen(
["python3", "backend.py", "--addr", "localhost:50052"],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
cwd=os.path.dirname(os.path.abspath(__file__)),
)
time.sleep(15)
def tearDown(self):
self.service.terminate()
try:
self.service.communicate(timeout=5)
except subprocess.TimeoutExpired:
self.service.kill()
self.service.communicate()
def test_health(self):
with grpc.insecure_channel("localhost:50052") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
reply = stub.Health(backend_pb2.HealthMessage(), timeout=5.0)
self.assertEqual(reply.message, b"OK")
def test_load_model_requires_cuda(self):
with grpc.insecure_channel("localhost:50052") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.LoadModel(
backend_pb2.ModelOptions(
Model="Qwen/Qwen3-TTS-12Hz-0.6B-Base",
CUDA=True,
),
timeout=10.0,
)
self.assertFalse(response.success)
@unittest.skipUnless(
__import__("torch").cuda.is_available(),
"faster-qwen3-tts TTS requires CUDA",
)
def test_tts(self):
import soundfile as sf
try:
with grpc.insecure_channel("localhost:50052") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
ref_audio = tempfile.NamedTemporaryFile(suffix='.wav', delete=False)
ref_audio.close()
try:
sr = 22050
duration = 1.0
samples = int(sr * duration)
sf.write(ref_audio.name, [0.0] * samples, sr)
response = stub.LoadModel(
backend_pb2.ModelOptions(
Model="Qwen/Qwen3-TTS-12Hz-0.6B-Base",
AudioPath=ref_audio.name,
Options=["ref_text:Hello world"],
),
timeout=600.0,
)
self.assertTrue(response.success, response.message)
with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as out:
output_path = out.name
try:
tts_response = stub.TTS(
backend_pb2.TTSRequest(
text="Test output.",
dst=output_path,
language="English",
),
timeout=120.0,
)
self.assertTrue(tts_response.success, tts_response.message)
self.assertTrue(os.path.exists(output_path))
self.assertGreater(os.path.getsize(output_path), 0)
finally:
if os.path.exists(output_path):
os.unlink(output_path)
finally:
if os.path.exists(ref_audio.name):
os.unlink(ref_audio.name)
except Exception as err:
self.fail(f"TTS test failed: {err}")
if __name__ == "__main__":
unittest.main()