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Running
on
CPU Upgrade
mrfakename
commited on
Commit
β’
f1fda32
1
Parent(s):
9147ab8
Update app.py
Browse files
app.py
CHANGED
@@ -13,10 +13,11 @@ from huggingface_hub import CommitScheduler, delete_file, hf_hub_download
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from gradio_client import Client
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from detoxify import Detoxify
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toxicity = Detoxify('original')
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####################################
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# Constants
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####################################
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-
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AVAILABLE_MODELS = {
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'XTTS': 'xttsv2',
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'WhisperSpeech': 'whisperspeech',
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@@ -478,13 +479,18 @@ def synthandreturn(text):
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gr.update(visible=False),
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gr.update(visible=False), #nxt round btn
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)
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def clear_stuff():
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return "", "Synthesize", gr.update(visible=False), '', '', gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
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with gr.Blocks() as vote:
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useridstate = gr.State()
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gr.Markdown(INSTR)
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with gr.Group():
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-
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btn = gr.Button("Synthesize", variant='primary')
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model1 = gr.Textbox(interactive=False, lines=1, max_lines=1, visible=False)
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model2 = gr.Textbox(interactive=False, lines=1, max_lines=1, visible=False)
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from gradio_client import Client
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from detoxify import Detoxify
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toxicity = Detoxify('original')
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with open('harvard_sentences.txt') as f:
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sents = f.read().strip().splitlines()
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####################################
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# Constants
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####################################
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AVAILABLE_MODELS = {
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'XTTS': 'xttsv2',
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'WhisperSpeech': 'whisperspeech',
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gr.update(visible=False),
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gr.update(visible=False), #nxt round btn
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)
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def randomsent():
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return random.choice(sents), 'π²'
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def clear_stuff():
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return "", "Synthesize", gr.update(visible=False), '', '', gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
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with gr.Blocks() as vote:
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useridstate = gr.State()
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gr.Markdown(INSTR)
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with gr.Group():
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with gr.Row():
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text = gr.Textbox(label="Enter text to synthesize", info="By entering text, you certify that it is either in the public domain or, if you are its author, you dedicate it into the public domain. You also must agree to the privacy statement in the About page.")
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randomt = gr.Button('π²')
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randomt.click(randomsent, outputs=[text, randomt])
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btn = gr.Button("Synthesize", variant='primary')
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model1 = gr.Textbox(interactive=False, lines=1, max_lines=1, visible=False)
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model2 = gr.Textbox(interactive=False, lines=1, max_lines=1, visible=False)
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