import os, sys if sys.platform == "darwin": os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1" now_dir = os.getcwd() sys.path.append(now_dir) import argparse import gradio as gr from dotenv import load_dotenv load_dotenv("sha256.env") from examples.web.funcs import * def main(): with gr.Blocks() as demo: gr.Markdown("# ChatTTS WebUI") gr.Markdown("- **GitHub Repo**: https://github.com/2noise/ChatTTS") gr.Markdown("- **HuggingFace Repo**: https://huggingface.co/2Noise/ChatTTS") 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。" text_input = gr.Textbox(label="Input Text", lines=4, placeholder="Please Input Text...", value=default_text) with gr.Row(): refine_text_checkbox = gr.Checkbox(label="Refine text", value=True) temperature_slider = gr.Slider(minimum=0.00001, maximum=1.0, step=0.00001, value=0.3, label="Audio temperature", interactive=True) top_p_slider = gr.Slider(minimum=0.1, maximum=0.9, step=0.05, value=0.7, label="top_P", interactive=True) top_k_slider = gr.Slider(minimum=1, maximum=20, step=1, value=20, label="top_K", interactive=True) with gr.Row(): voice_selection = gr.Dropdown(label="Timbre", choices=voices.keys(), value='Default') audio_seed_input = gr.Number(value=2, label="Audio Seed") generate_audio_seed = gr.Button("\U0001F3B2") text_seed_input = gr.Number(value=42, label="Text Seed") generate_text_seed = gr.Button("\U0001F3B2") with gr.Row(): dvae_coef_text = gr.Textbox( label="DVAE Coefficient", max_lines=3, show_copy_button=True, scale=4, ) reload_chat_button = gr.Button("Reload", scale=1) with gr.Row(): auto_play_checkbox = gr.Checkbox(label="Auto Play", value=False, scale=1) stream_mode_checkbox = gr.Checkbox(label="Stream Mode", value=False, scale=1) generate_button = gr.Button("Generate", scale=2, variant="primary") text_output = gr.Textbox(label="Output Text", interactive=False) # 使用Gradio的回调功能来更新数值输入框 voice_selection.change(fn=on_voice_change, inputs=voice_selection, outputs=audio_seed_input) generate_audio_seed.click(generate_seed, inputs=[], outputs=audio_seed_input) generate_text_seed.click(generate_seed, inputs=[], outputs=text_seed_input) reload_chat_button.click(reload_chat, inputs=dvae_coef_text, outputs=dvae_coef_text) generate_button.click(fn=lambda: "", outputs=text_output) generate_button.click(refine_text, inputs=[text_input, text_seed_input, refine_text_checkbox], outputs=text_output) @gr.render(inputs=[auto_play_checkbox, stream_mode_checkbox]) def make_audio(autoplay, stream): audio_output = gr.Audio( label="Output Audio", value=None, autoplay=autoplay, streaming=stream, interactive=False, show_label=True, ) text_output.change(generate_audio, inputs=[text_output, temperature_slider, top_p_slider, top_k_slider, audio_seed_input, stream_mode_checkbox], outputs=audio_output) gr.Examples( examples=[ ["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], ["What is [uv_break]your favorite english food?[laugh][lbreak]", 0.5, 0.5, 10, 245, 531, False], ["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, False], ], inputs=[text_input, temperature_slider, top_p_slider, top_k_slider, audio_seed_input, text_seed_input, refine_text_checkbox], ) parser = argparse.ArgumentParser(description='ChatTTS demo Launch') parser.add_argument('--server_name', type=str, default='0.0.0.0', help='server name') parser.add_argument('--server_port', type=int, default=8080, help='server port') parser.add_argument('--root_path', type=str, default=None, help='root path') parser.add_argument('--custom_path', type=str, default=None, help='custom model path') parser.add_argument('--coef', type=str, default=None, help='custom dvae coefficient') args = parser.parse_args() logger.info("loading ChatTTS model...") if load_chat(args.custom_path, args.coef): logger.info("Models loaded successfully.") else: logger.error("Models load failed.") sys.exit(1) dvae_coef_text.value = chat.coef demo.launch(server_name=args.server_name, server_port=args.server_port, root_path=args.root_path, inbrowser=True) if __name__ == '__main__': main()