Spaces:
Running
Running
File size: 4,300 Bytes
32b2aaa bf13828 32b2aaa f83b1b7 32b2aaa bf13828 32b2aaa f83b1b7 32b2aaa bf13828 32b2aaa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 |
import gradio as gr
import torch
from modules.speaker import Speaker
from modules.utils.SeedContext import SeedContext
from modules.hf import spaces
from modules.models import load_chat_tts
from modules.utils.rng import np_rng
from modules.webui import webui_config
from modules.webui.webui_utils import get_speakers, tts_generate
import tempfile
names_list = [
"Alice",
"Bob",
"Carol",
"Carlos",
"Charlie",
"Chuck",
"Chad",
"Craig",
"Dan",
"Dave",
"David",
"Erin",
"Eve",
"Yves",
"Faythe",
"Frank",
"Grace",
"Heidi",
"Ivan",
"Judy",
"Mallory",
"Mallet",
"Darth",
"Michael",
"Mike",
"Niaj",
"Olivia",
"Oscar",
"Peggy",
"Pat",
"Rupert",
"Sybil",
"Trent",
"Ted",
"Trudy",
"Victor",
"Vanna",
"Walter",
"Wendy",
]
@torch.inference_mode()
@spaces.GPU
def create_spk_from_seed(
seed: int,
name: str,
gender: str,
desc: str,
):
chat_tts = load_chat_tts()
with SeedContext(seed, True):
emb = chat_tts.sample_random_speaker()
spk = Speaker(seed=-2, name=name, gender=gender, describe=desc)
spk.emb = emb
with tempfile.NamedTemporaryFile(delete=False, suffix=".pt") as tmp_file:
torch.save(spk, tmp_file)
tmp_file_path = tmp_file.name
return tmp_file_path
@torch.inference_mode()
@spaces.GPU
def test_spk_voice(seed: int, text: str):
return tts_generate(
spk=seed,
text=text,
)
def random_speaker():
seed = np_rng()
name = names_list[seed % len(names_list)]
return seed, name
def speaker_creator_ui():
def on_generate(seed, name, gender, desc):
file_path = create_spk_from_seed(seed, name, gender, desc)
return file_path
def create_test_voice_card(seed_input):
with gr.Group():
gr.Markdown("🎤Test voice")
with gr.Row():
test_voice_btn = gr.Button("Test Voice", variant="secondary")
with gr.Column(scale=4):
test_text = gr.Textbox(
label="Test Text",
placeholder="Please input test text",
value=webui_config.localization.DEFAULT_SPEAKER_TEST_TEXT,
)
with gr.Row():
current_seed = gr.Label(label="Current Seed", value=-1)
with gr.Column(scale=4):
output_audio = gr.Audio(label="Output Audio", format="mp3")
test_voice_btn.click(
fn=test_spk_voice,
inputs=[seed_input, test_text],
outputs=[output_audio],
)
test_voice_btn.click(
fn=lambda x: x,
inputs=[seed_input],
outputs=[current_seed],
)
gr.Markdown("SPEAKER_CREATOR_GUIDE")
with gr.Row():
with gr.Column(scale=2):
with gr.Group():
gr.Markdown("ℹ️Speaker info")
seed_input = gr.Number(label="Seed", value=2)
name_input = gr.Textbox(
label="Name", placeholder="Enter speaker name", value="Bob"
)
gender_input = gr.Textbox(
label="Gender", placeholder="Enter gender", value="*"
)
desc_input = gr.Textbox(
label="Description",
placeholder="Enter description",
)
random_button = gr.Button("Random Speaker")
with gr.Group():
gr.Markdown("🔊Generate speaker.pt")
generate_button = gr.Button("Save .pt file")
output_file = gr.File(label="Save to File")
with gr.Column(scale=5):
create_test_voice_card(seed_input=seed_input)
create_test_voice_card(seed_input=seed_input)
create_test_voice_card(seed_input=seed_input)
create_test_voice_card(seed_input=seed_input)
random_button.click(
random_speaker,
outputs=[seed_input, name_input],
)
generate_button.click(
fn=on_generate,
inputs=[seed_input, name_input, gender_input, desc_input],
outputs=[output_file],
)
|