技能备份 - 2026-04-15 (40个技能)

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root
2026-04-15 18:53:15 +08:00
parent f62f14814f
commit c65fce24e4
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#!/usr/bin/env python3
"""FunASR 音频转录脚本"""
import sys
import os
import json
try:
from funasr import AutoModel
except ImportError:
print("❌ 错误:未找到 funasr 模块")
print("")
print("请先安装 FunASR")
print(" bash ~/.openclaw/workspace/skills/funasr-transcribe/scripts/install.sh")
sys.exit(1)
def transcribe_audio(audio_path):
"""使用 FunASR 转录音频"""
print(f"正在处理音频: {audio_path}")
print("首次运行会自动下载模型,可能需要几分钟...")
# 加载模型
model = AutoModel(
model="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
vad_model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
punc_model="damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
device="cpu" # 使用 CPU,如果有 GPU 可以改为 "cuda:0"
)
# 进行语音识别
res = model.generate(
input=audio_path,
batch_size_s=300
)
return res
def main():
if len(sys.argv) < 2:
print("用法: python3 transcribe.py <audio_file>")
sys.exit(1)
audio_path = sys.argv[1]
# 检查文件是否存在
if not os.path.exists(audio_path):
print(f"❌ 错误:文件不存在: {audio_path}")
sys.exit(1)
# 转录
try:
result = transcribe_audio(audio_path)
except Exception as e:
print(f"❌ 转录失败: {e}")
sys.exit(1)
# 输出结果
text = ""
if isinstance(result, list) and len(result) > 0:
text = result[0].get("text", "")
if not text:
print("⚠️ 未识别到文本")
sys.exit(0)
print("\n" + "="*50)
print("转录结果:")
print("="*50)
print(text)
# 保存到文件
output_path = os.path.splitext(audio_path)[0] + ".txt"
try:
with open(output_path, "w", encoding="utf-8") as f:
f.write(text)
print("")
print(f"✓ 已保存到: {output_path}")
except Exception as e:
print(f"\n⚠️ 保存文件失败: {e}")
if __name__ == "__main__":
main()