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Running on Zero

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Upload app.py

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  1. app.py +102 -4
app.py CHANGED
@@ -1,7 +1,105 @@
 
 
 
 
 
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  import gradio as gr
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- def greet(name):
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- return "Hello " + name + "!!"
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- demo = gr.Interface(fn=greet, inputs="text", outputs="text")
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- demo.launch()
 
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+ import os
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+ import random
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+ import argparse
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+
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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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+
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+ import ChatTTS
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+
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+ print("loading ChatTTS model...")
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+ chat = ChatTTS.Chat()
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+ chat.load_models()
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+
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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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+
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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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+
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+ torch.manual_seed(audio_seed_input)
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+ rand_spk = torch.randn(768)
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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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+
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+ torch.manual_seed(text_seed_input)
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+
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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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+
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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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+
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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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+
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+ return [(sample_rate, audio_data), text_data]
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+
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+
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+ def main():
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+
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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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+
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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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+
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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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+
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+ with gr.Row():
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+ audio_seed_input = gr.Number(value=42, 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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+
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+ generate_button = gr.Button("Generate")
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+
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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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+
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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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+
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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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+
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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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+
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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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+ args = parser.parse_args()
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+
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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()