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import gradio as gr |
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import subprocess |
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import os |
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import json |
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import uuid |
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import requests |
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from pypipertts import PyPiper |
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pp=PyPiper() |
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length=1 |
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noise=1 |
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width=1 |
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sen_pause=1 |
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stream=True |
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def load_mod(instr="lb_LU-marylux-medium"): |
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load_mes=gr.Info(f"""Loading Model...<br>{instr}""",duration=2) |
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pp.load_mod(instr=instr) |
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with open(pp.json_ob,'r') as f: |
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json_ob=f.read() |
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load_mes=gr.Info(f"Model Loaded<br>{instr}",duration=2) |
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return json_ob |
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def save_set(model,length,noise,width,sen_pause): |
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if not os.path.isdir(f'{os.getcwd()}/saved'): |
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os.mkdir(f'{os.getcwd()}/saved') |
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set_json={"model":model,"length":length,"noise":noise,"width":width,"pause":sen_pause} |
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file_name=f'{model}__{length}__{noise}__{width}__{sen_pause}'.replace(".","_") |
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with open(f'{os.getcwd()}/saved/{file_name}.json','w') as file: |
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file.write(json.dumps(set_json,indent=4)) |
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file.close() |
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return(f'{os.getcwd()}/saved/{file_name}.json') |
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def load_set(set_file): |
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with open(set_file,'r') as file: |
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set_json=json.loads(file.read()) |
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file.close() |
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return(gr.update(value=set_json['model']),gr.update(value=set_json['length']), |
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gr.update(value=set_json['noise']),gr.update(value=set_json['width']), |
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gr.update(value=set_json['pause'])) |
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txt="""PiperTTS is a powerful text-to-speech TTS node designed to convert written text into high-quality spoken audio. This node leverages advanced voice synthesis models to generate natural-sounding speech, making it an invaluable tool for AI developers looking to add a vocal element to their projects.""" |
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def button_on(stream): |
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if stream==True: |
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return gr.update(interactive=True,visible=True),gr.update(interactive=False,visible=False) |
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if stream==False: |
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return gr.update(interactive=False,visible=False),gr.update(interactive=True,visible=True) |
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def clear_aud(): |
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return None |
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with gr.Blocks() as b: |
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gr.HTML("""<h1 style='font-size:xxx-large;font-weight:900;'>Piper Fast TTS</h1> |
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<h4>Piper: <a href='https://github.com/rhasspy/piper' target='_blank'>https://github.com/rhasspy/piper</a></h4> |
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<h4>PyPiperTTS: <a href='https://github.com/broadfield-dev/PyPiperTTS' target='_blank'>https://github.com/broadfield-dev/PyPiperTTS</a></h4> |
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""") |
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with gr.Row(): |
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with gr.Column(scale=2): |
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in_txt=gr.Textbox(label="Text",lines=10) |
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names=gr.Dropdown() |
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with gr.Row(): |
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stream_btn=gr.Button("Stream",interactive=True,visible=True) |
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sub_btn=gr.Button(interactive=False,visible=False) |
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cancel_btn=gr.Button("Stop") |
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out_aud=gr.Audio(streaming=True, autoplay=True) |
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b.queue(default_concurrency_limit=20).launch(max_threads=40) |
