跳到主要内容
本笔记本展示了如何与 ElevenLabs API 交互以实现文本转语音功能。 首先,您需要设置一个 ElevenLabs 帐户。您可以按照此处的说明操作。
pip install -qU  elevenlabs langchain-community
import os

os.environ["ELEVENLABS_API_KEY"] = ""

用法

from langchain_community.tools import ElevenLabsText2SpeechTool

text_to_speak = "Hello world! I am the real slim shady"

tts = ElevenLabsText2SpeechTool()
tts.name
'eleven_labs_text2speech'
我们可以生成音频,将其保存到临时文件,然后播放。
speech_file = tts.run(text_to_speak)
tts.play(speech_file)
或者直接流式传输音频。
tts.stream_speech(text_to_speak)

在 Agent 中使用

from langchain.agents import AgentType, initialize_agent, load_tools
from langchain_openai import OpenAI
llm = OpenAI(temperature=0)
tools = load_tools(["eleven_labs_text2speech"])
agent = initialize_agent(
    tools=tools,
    llm=llm,
    agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,
    verbose=True,
)
audio_file = agent.run("Tell me a joke and read it out for me.")
> Entering new AgentExecutor chain...
Action:
\`\`\`
{
  "action": "eleven_labs_text2speech",
  "action_input": {
    "query": "Why did the chicken cross the playground? To get to the other slide!"
  }
}
\`\`\`


Observation: /tmp/tmpsfg783f1.wav
Thought: I have the audio file ready to be sent to the human
Action:
\`\`\`
{
  "action": "Final Answer",
  "action_input": "/tmp/tmpsfg783f1.wav"
}
\`\`\`



> Finished chain.
tts.play(audio_file)

以编程方式连接这些文档到 Claude、VSCode 等,通过 MCP 获取实时答案。
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