wehub-resource-sync
57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
#!/usr/bin/env python3
|
|
"""Test GLM-ASR: robust multi-language speech recognition"""
|
|
import sys
|
|
import time
|
|
|
|
|
|
def main():
|
|
from funasr import AutoModel
|
|
|
|
url_zh = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav"
|
|
url_en = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_en.wav"
|
|
|
|
# Standard FunASR usage
|
|
# Default hub="ms" (ModelScope), use hub="hf" for HuggingFace
|
|
print("[GLM-ASR] Loading model...")
|
|
t0 = time.time()
|
|
model = AutoModel(
|
|
model="zai-org/GLM-ASR-Nano-2512",
|
|
hub="hf",
|
|
device="cuda:0",
|
|
disable_update=True,
|
|
)
|
|
print("[GLM-ASR] Model loaded in %.1fs" % (time.time() - t0))
|
|
|
|
# Test 1: Chinese audio
|
|
print("[GLM-ASR] Test 1: Chinese inference...")
|
|
t0 = time.time()
|
|
res = model.generate(input=url_zh)
|
|
print("[GLM-ASR] Inference done in %.1fs" % (time.time() - t0))
|
|
|
|
if res and len(res) > 0 and "text" in res[0]:
|
|
print("[GLM-ASR] Result (zh): %s" % res[0]["text"])
|
|
print("[GLM-ASR] Test 1 PASSED")
|
|
else:
|
|
print("[GLM-ASR] Test 1 FAILED - no text in result")
|
|
return 1
|
|
|
|
# Test 2: English audio
|
|
print("[GLM-ASR] Test 2: English inference...")
|
|
t0 = time.time()
|
|
res = model.generate(input=url_en)
|
|
print("[GLM-ASR] Inference done in %.1fs" % (time.time() - t0))
|
|
|
|
if res and len(res) > 0 and "text" in res[0]:
|
|
print("[GLM-ASR] Result (en): %s" % res[0]["text"])
|
|
print("[GLM-ASR] Test 2 PASSED")
|
|
else:
|
|
print("[GLM-ASR] Test 2 FAILED - no text in result")
|
|
return 1
|
|
|
|
print("[GLM-ASR] All tests PASSED")
|
|
return 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
sys.exit(main())
|