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Update app.py
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app.py
CHANGED
@@ -1,50 +1,31 @@
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import random
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import numpy as np
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import torch
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from chatterbox.src.
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import gradio as gr
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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def set_seed(seed: int):
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torch.manual_seed(seed)
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torch.cuda.manual_seed(seed)
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torch.cuda.manual_seed_all(seed)
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random.seed(seed)
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np.random.seed(seed)
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text,
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audio_prompt_path=audio_prompt_path,
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exaggeration=exaggeration,
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pace=pace,
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temperature=temperature,
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cfg_weight=cfg_weight,
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)
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return model.sr, wav.squeeze(0).numpy()
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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text = gr.Textbox(value="
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ref_wav = gr.Audio(sources="upload", type="filepath", label="Reference Audio File"
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exaggeration = gr.Slider(0.25, 2, step=.05, label="Exaggeration (Neutral = 0.5, extreme values can be unstable)", value=.5)
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cfg_weight = gr.Slider(0.0, 5, step=.05, label="CFG/Pace", value=1.0)
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with gr.Accordion("More options", open=False):
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seed_num = gr.Number(value=0, label="Random seed (0 for random)")
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temp = gr.Slider(0.05, 5, step=.05, label="temperature", value=.8)
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pace = gr.Slider(0.8, 1.2, step=.01, label="pace", value=1)
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run_btn = gr.Button("Generate", variant="primary")
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@@ -57,10 +38,6 @@ with gr.Blocks() as demo:
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text,
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ref_wav,
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exaggeration,
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pace,
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temp,
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seed_num,
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cfg_weight,
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],
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outputs=audio_output,
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)
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import random
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import numpy as np
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import torch
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from chatterbox.src.orator.tts import OratorTTS
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import gradio as gr
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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model = OratorTTS.from_pretrained(DEVICE)
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def generate(text, audio_prompt_path, exaggeration, pace, temperature, seed_num):
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with torch.inference_mode():
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wav = model.generate(
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text,
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audio_prompt_path=audio_prompt_path,
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emotion_adv=exaggeration,
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)
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return model.sr, wav.squeeze(0).numpy()
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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text = gr.Textbox(value="I know what you're thinking. \"Did he fire six shots, or only five?\" Well, to tell you the truth, in all this excitement, I kind of lost track myself.", label="Text to synthesize")
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ref_wav = gr.Audio(sources="upload", type="filepath", label="Reference Audio File")
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exaggeration = gr.Slider(0.25, 2, step=.05, label="Exaggeration (Neutral = 0.5, extreme values can be unstable)", value=.5)
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run_btn = gr.Button("Generate", variant="primary")
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text,
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ref_wav,
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exaggeration,
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],
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outputs=audio_output,
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)
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