update demo

维石

2024-06-03 c5339e8302da5ab66af7ca7640b93596de24a4b0

update demo

 runtime/python/libtorch/demo_contextual_paraformer.py

@@ -1,12 +1,13 @@
import torch
from pathlib import Path
from funasr_torch import Paraformer
from funasr_torch.paraformer_bin import ContextualParaformer

model_dir = "damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404"
model = Paraformer(model_dir, batch_size=1)  # cpu
# model = Paraformer(model_dir, batch_size=1, device_id=0)  # gpu
model_dir = "iic/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404"
device_id = 0 if torch.cuda.is_available() else -1
model = ContextualParaformer(model_dir, batch_size=1, device_id=device_id)  # gpu

wav_path = "{}/.cache/modelscope/hub/{}/example/asr_example.wav".format(Path.home(), model_dir)
hotwords = "你的热词 魔搭"
hotwords = "你的热词 魔搭 达摩苑"

result = model(wav_path, hotwords)
print(result)

 runtime/python/libtorch/demo_paraformer.py

@@ -1,5 +1,5 @@
from pathlib import Path
from funasr_torch import Paraformer
from funasr_torch.paraformer_bin import Paraformer

model_dir = "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model = Paraformer(model_dir, batch_size=1)  # cpu

 runtime/python/libtorch/funasr_torch/paraformer_bin.py

@@ -50,7 +50,7 @@
        if quantize:
            model_file = os.path.join(model_dir, "model_quant.torchscripts")
        if not os.path.exists(model_file):
            print(".onnx is not exist, begin to export onnx")
            print(".torchscripts does not exist, begin to export torchscripts")
            try:
                from funasr import AutoModel
            except:

 runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py

@@ -62,7 +62,7 @@
        if quantize:
            model_file = os.path.join(model_dir, "model_quant.onnx")
        if not os.path.exists(model_file):
            print(".onnx is not exist, begin to export onnx")
            print(".onnx does not exist, begin to export onnx")
            try:
                from funasr import AutoModel
            except: