11LabsTTS.py

"""
import requests
import gradio as gr

CHUNK_SIZE = 1024

headers1 = {
    "Accept": "application/json",
    "xi-api-key": "54f884da3108725f26af02d5907d1eb4"
}

headers2 = {
    "Accept": "audio/mpeg",
    "Content-Type": "application/json",
    "xi-api-key": "54f884da3108725f26af02d5907d1eb4"
}

name_list = []

def elevenlabs_tts(text, voice_name):
    # 获取声音列表
    url1 = "https://api.elevenlabs.io/v1/voices"
    response1 = requests.get(url1, headers=headers1)
    voices = response1.json()['voices']

    for voice in voices:
        vid = voice['voice_id']
        vname = voice['name']
        label = voice['labels']
        info = {"voice_id": vid, "name": vname, "labels": label}

        name_list.append(info["name"])

        if info['name'] == voice_name:
            voice_id = info['voice_id']
            url2 = "https://api.elevenlabs.io/v1/text-to-speech/" + voice_id
        # print(infos)
        # return infos

    # 根据指定的人名合成语音
    data = {
        "text": text,
        "model_id": "eleven_monolingual_v1",
        "voice_settings": {
            "stability": 0.5,
            "similarity_boost": 0.5
        }
    }

    response2 = requests.post(url2, json=data, headers=headers2)
    with open('output.mp3', 'wb') as f:
        for chunk in response2.iter_content(chunk_size=CHUNK_SIZE):
            if chunk:
                f.write(chunk)

    return 'output.mp3'

demo = gr.Interface(
    fn = elevenlabs_tts,

    # demo输入设置
    inputs = [
        gr.Dropdown(name_list, label="发音人"),
        gr.Textbox(label="输入文本"),
    ],
    # demo输出设置
    outputs = [
        "audio",
        "text",
    ],
    # demo其他设置
    title = "Text to Speech Synthesis",
    description = "Synthesize speech from text using Elevenlabs",
    examples = [
        ["Rachel", "Hello World!"],
        ["Clyde", "This is a test."],
        ["Domi", "Gradio is awesome!"],
    ]
)

if __name__ == "__main__":
    demo.launch(share=True, server_name='0.0.0.0', server_port=8121)
    #print(name_list)

"""

import requests
import gradio as gr

CHUNK_SIZE = 1024

headers1 = {
    "Accept": "application/json",
    "xi-api-key": "54f884da3108725f26af02d5907d1eb4"
}

headers2 = {
    "Accept": "audio/mpeg",
    "Content-Type": "application/json",
    "xi-api-key": "54f884da3108725f26af02d5907d1eb4"
}

def get_voice_names():
    url1 = "https://api.elevenlabs.io/v1/voices"
    response1 = requests.get(url1, headers=headers1)
    voices = response1.json()['voices']
    names = [voice['name'] for voice in voices]
    return names

name_list = get_voice_names()

def elevenlabs_tts(voice_name, text):
    # 获取声音列表
    url1 = "https://api.elevenlabs.io/v1/voices"
    response1 = requests.get(url1, headers=headers1)
    voices = response1.json()['voices']
    #print(voice_name)
    #print(voices)

    for voice in voices:
        if voice['name'] == voice_name:
            voice_id = voice['voice_id']
            label = voice['labels']
            url2 = "https://api.elevenlabs.io/v1/text-to-speech/" + voice_id
            #print(voice_id)
            #print(label)
            break

    data = {
        "text": text,
        "model_id": "eleven_monolingual_v1",
        "voice_settings": {
            "stability": 0.5,
            "similarity_boost": 0.5
        }
    }

    response2 = requests.post(url2, json=data, headers=headers2)
    with open('output.mp3', 'wb') as f:
        for chunk in response2.iter_content(chunk_size=CHUNK_SIZE):
            if chunk:
                f.write(chunk)

    return 'output.mp3', label

demo = gr.Interface(
    fn = elevenlabs_tts,
    inputs = [
        gr.Dropdown(name_list, label="发音人"),
        gr.Textbox(label="输入文本"),
    ],
    outputs = [
        "audio",
        "text",
    ],
    title = "Text to Speech Synthesis",
    description = "Synthesize speech from text using Elevenlabs",
    examples = [
        ["Rachel", "Hello World!"],
        ["Clyde", "This is a test."],
        ["Domi", "Gradio is awesome!"],
    ]
)

if __name__ == "__main__":
    demo.launch(share=True, server_name='0.0.0.0', server_port=8121)