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#######################################################################################
#
# MIT License
#
# Copyright (c) [2025] [[email protected]]
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
#
#######################################################################################
# This file implements an API endpoint for the English Kokoro Text-to-Speech (TTS) system.
# It provides functionality to generate TTS audio from input English text using the Kokoro voice model.
# Source code is based on or inspired by several projects.
# For more details and proper attribution, please refer to the following resources:
#
# - [Kokoro] - [https://github.com/hexgrad/kokoro]
# - [Misaki] - [https://github.com/hexgrad/misaki]
# - [Kokoro-82M] - [https://huggingface.co/hexgrad/Kokoro-82M]
# - [Kokoro-onnx] - [https://github.com/thewh1teagle/kokoro-onnx]
import os
import gradio as gr
from huggingface_hub import snapshot_download
from kokoro_onnx import Kokoro
from misaki import en, espeak
KOKORO_REPO_ID = "leonelhs/kokoro-thewh1teagle"
VOICES = {
'πΊπΈ πΊ Heart β€οΈ': 'af_heart',
'πΊπΈ πΊ Bella π₯': 'af_bella',
'πΊπΈ πΊ Nicole π§': 'af_nicole',
'πΊπΈ πΊ Aoede': 'af_aoede',
'πΊπΈ πΊ Kore': 'af_kore',
'πΊπΈ πΊ Sarah': 'af_sarah',
'πΊπΈ πΊ Nova': 'af_nova',
'πΊπΈ πΊ Sky': 'af_sky',
'πΊπΈ πΊ Alloy': 'af_alloy',
'πΊπΈ πΊ Jessica': 'af_jessica',
'πΊπΈ πΊ River': 'af_river',
'πΊπΈ πΉ Michael': 'am_michael',
'πΊπΈ πΉ Fenrir': 'am_fenrir',
'πΊπΈ πΉ Puck': 'am_puck',
'πΊπΈ πΉ Echo': 'am_echo',
'πΊπΈ πΉ Eric': 'am_eric',
'πΊπΈ πΉ Liam': 'am_liam',
'πΊπΈ πΉ Onyx': 'am_onyx',
'πΊπΈ πΉ Santa': 'am_santa',
'πΊπΈ πΉ Adam': 'am_adam',
'π¬π§ πΊ Emma': 'bf_emma',
'π¬π§ πΊ Isabella': 'bf_isabella',
'π¬π§ πΊ Alice': 'bf_alice',
'π¬π§ πΊ Lily': 'bf_lily',
'π¬π§ πΉ George': 'bm_george',
'π¬π§ πΉ Fable': 'bm_fable',
'π¬π§ πΉ Lewis': 'bm_lewis',
'π¬π§ πΉ Daniel': 'bm_daniel',
}
snapshot = snapshot_download(repo_id=KOKORO_REPO_ID)
# Misaki G2P with espeak-ng fallback
fallback = espeak.EspeakFallback(british=False)
g2p = en.G2P(trf=False, british=False, fallback=fallback)
# Kokoro
model_path = os.path.join(snapshot, "kokoro-v1.0.onnx")
voices_path = os.path.join(snapshot, "voices-v1.0.bin")
kokoro = Kokoro(model_path, voices_path)
def predict(text, voice='af_heart', speed=1):
"""
Generate speech audio from english text input.
Parameters:
text (string): The text to be converted into speech.
voice (string): The selected male of female voice profile (specific voice ID).
speed (float): The speaking rate multiplier (e.g., 1.0 = normal speed, 0.8 = slower, 1.2 = faster).
Returns:
path: File path to the generated audio speech.
"""
phonemes, _ = g2p(text)
samples, sample_rate = kokoro.create(phonemes, voice, speed, is_phonemes=True)
return sample_rate, samples
app = gr.Interface(
predict,
[
gr.Textbox(label='Input Text'),
gr.Dropdown(list(VOICES.items()), value='af_heart', label='Voice'),
gr.Slider(minimum=0.5, maximum=2, value=1, step=0.1, label='Speed')
],
gr.Audio(label='Output Audio', interactive=False, streaming=False, autoplay=True),
description="Kokoro TTS πΊπΈ π¬π§ API Endpoint",
)
app.launch(share=False, debug=True, show_error=True, mcp_server=True)
app.queue()
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