mirror of
https://github.com/2noise/ChatTTS.git
synced 2026-09-24 23:09:40 +08:00
123 lines
5.1 KiB
Python
123 lines
5.1 KiB
Python
import os
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import random
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import argparse
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import torch
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import gradio as gr
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import numpy as np
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import ChatTTS
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def generate_seed():
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new_seed = random.randint(1, 100000000)
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return {
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"__type__": "update",
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"value": new_seed
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}
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def generate_audio(text, temperature, top_P, top_K, audio_seed_input, text_seed_input, refine_text_flag):
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torch.manual_seed(audio_seed_input)
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rand_spk = chat.sample_random_speaker()
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params_infer_code = {
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'spk_emb': rand_spk,
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'temperature': temperature,
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'top_P': top_P,
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'top_K': top_K,
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}
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params_refine_text = {'prompt': '[oral_2][laugh_0][break_6]'}
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torch.manual_seed(text_seed_input)
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if refine_text_flag:
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text = chat.infer(text,
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skip_refine_text=False,
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refine_text_only=True,
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params_refine_text=params_refine_text,
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params_infer_code=params_infer_code
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)
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wav = chat.infer(text,
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skip_refine_text=True,
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params_refine_text=params_refine_text,
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params_infer_code=params_infer_code
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)
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audio_data = np.array(wav[0]).flatten()
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sample_rate = 24000
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text_data = text[0] if isinstance(text, list) else text
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return [(sample_rate, audio_data), text_data]
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def main():
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with gr.Blocks() as demo:
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gr.Markdown("# ChatTTS Webui")
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gr.Markdown("ChatTTS Model: [2noise/ChatTTS](https://github.com/2noise/ChatTTS)")
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default_text = "四川美食确实以辣闻名，但也有不辣的选择。比如甜水面、赖汤圆、蛋烘糕、叶儿粑等，这些小吃口味温和，甜而不腻，也很受欢迎。"
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text_input = gr.Textbox(label="Input Text", lines=4, placeholder="Please Input Text...", value=default_text)
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with gr.Row():
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refine_text_checkbox = gr.Checkbox(label="Refine text", value=True)
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temperature_slider = gr.Slider(minimum=0.00001, maximum=1.0, step=0.00001, value=0.3, label="Audio temperature")
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top_p_slider = gr.Slider(minimum=0.1, maximum=0.9, step=0.05, value=0.7, label="top_P")
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top_k_slider = gr.Slider(minimum=1, maximum=20, step=1, value=20, label="top_K")
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with gr.Row():
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audio_seed_input = gr.Number(value=2, label="Audio Seed")
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generate_audio_seed = gr.Button("\U0001F3B2")
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text_seed_input = gr.Number(value=42, label="Text Seed")
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generate_text_seed = gr.Button("\U0001F3B2")
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generate_button = gr.Button("Generate")
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text_output = gr.Textbox(label="Output Text", interactive=False)
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audio_output = gr.Audio(label="Output Audio")
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generate_audio_seed.click(generate_seed,
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inputs=[],
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outputs=audio_seed_input)
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generate_text_seed.click(generate_seed,
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inputs=[],
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outputs=text_seed_input)
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generate_button.click(generate_audio,
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inputs=[text_input, temperature_slider, top_p_slider, top_k_slider, audio_seed_input, text_seed_input, refine_text_checkbox],
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outputs=[audio_output, text_output])
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gr.Examples(
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examples=[
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["四川美食确实以辣闻名，但也有不辣的选择。比如甜水面、赖汤圆、蛋烘糕、叶儿粑等，这些小吃口味温和，甜而不腻，也很受欢迎。", 0.3, 0.7, 20, 2, 42, True],
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["What is [uv_break]your favorite english food?[laugh][lbreak]", 0.5, 0.5, 10, 245, 531, True],
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["chat T T S is a text to speech model designed for dialogue applications. [uv_break]it supports mixed language input [uv_break]and offers multi speaker capabilities with precise control over prosodic elements [laugh]like like [uv_break]laughter[laugh], [uv_break]pauses, [uv_break]and intonation. [uv_break]it delivers natural and expressive speech,[uv_break]so please[uv_break] use the project responsibly at your own risk.[uv_break]", 0.2, 0.6, 15, 67, 165, True],
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],
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inputs=[text_input, temperature_slider, top_p_slider, top_k_slider, audio_seed_input, text_seed_input, refine_text_checkbox],
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)
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parser = argparse.ArgumentParser(description='ChatTTS demo Launch')
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parser.add_argument('--server_name', type=str, default='0.0.0.0', help='Server name')
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parser.add_argument('--server_port', type=int, default=8080, help='Server port')
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parser.add_argument('--local_path', type=str, default=None, help='the local_path if need')
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args = parser.parse_args()
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print("loading ChatTTS model...")
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global chat
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chat = ChatTTS.Chat()
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if args.local_path == None:
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chat.load_models()
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else:
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print('local model path:', args.local_path)
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chat.load_models('local', local_path=args.local_path)
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demo.launch(server_name=args.server_name, server_port=args.server_port, inbrowser=True)
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if __name__ == '__main__':
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main()
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