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import gradio as gr | |
import os | |
os.system('cd monotonic_align && python setup.py build_ext --inplace && cd ..') | |
import torch | |
import commons | |
import utils | |
from models import SynthesizerTrn | |
from text.symbols import symbols | |
from text import text_to_sequence | |
import IPython.display as ipd | |
import json | |
import math | |
#new imports | |
import matplotlib.pyplot as plt | |
import re | |
from torch import nn | |
from torch.nn import functional as F | |
from torch.utils.data import DataLoader | |
from models import SynthesizerTrn | |
import unicodedata | |
import openai | |
def get_text(text, hps): | |
text_norm = text_to_sequence(text, hps.data.text_cleaners) | |
if hps.data.add_blank: | |
text_norm = commons.intersperse(text_norm, 0) | |
text_norm = torch.LongTensor(text_norm) | |
return text_norm | |
hps = utils.get_hparams_from_file("configs/biaobei_base.json") | |
net_g = SynthesizerTrn( | |
len(symbols), | |
hps.data.filter_length // 2 + 1, | |
hps.train.segment_size // hps.data.hop_length, | |
**hps.model) | |
_ = net_g.eval() | |
_ = utils.load_checkpoint("G_1434000.pth", net_g, None) | |
def friend_chat(text, tts_input3): | |
call_name = "亚托克斯" | |
openai.api_key = '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' | |
identity = tts_input3 | |
start_sequence = '\n'+str(call_name)+':' | |
restart_sequence = "\nYou: " | |
all_text = identity + restart_sequence | |
if 1 == 1: | |
prompt0 = text #当期prompt | |
if text == 'quit': | |
return prompt0 | |
prompt = identity + prompt0 + start_sequence | |
response = openai.Completion.create( | |
model="text-davinci-003", | |
prompt=prompt, | |
temperature=0.5, | |
max_tokens=1000, | |
top_p=1.0, | |
frequency_penalty=0.5, | |
presence_penalty=0.0, | |
stop=["\nYou:"] | |
) | |
return response['choices'][0]['text'].strip() | |
def sle(text, tts_input3): | |
text = friend_chat(text, tts_input3).replace('\n','。').replace(' ',',') | |
return text | |
def infer(text,tts_input3): | |
stn_tst = get_text(sle(text,tts_input3), hps) | |
with torch.no_grad(): | |
x_tst = stn_tst.unsqueeze(0) | |
x_tst_lengths = torch.LongTensor([stn_tst.size(0)]) | |
audio = net_g.infer(x_tst, x_tst_lengths, noise_scale=.667, noise_scale_w=0.8, length_scale=1)[0][0,0].data.cpu().float().numpy() | |
sampling_rate = 22050 | |
return (sampling_rate, audio) | |
app = gr.Blocks() | |
with app: | |
with gr.Tabs(): | |
with gr.TabItem("Basic"): | |
tts_input1 = gr.TextArea(label="输入你想跟剑魔说的话", value="我是暮光星灵佐伊,我要三天之内杀了你") | |
tts_input3 = gr.TextArea(label="写上你给他的设定", value="你叫亚托克斯,俗称剑魔,世界的终结者。") | |
tts_submit = gr.Button("Generate", variant="primary") | |
tts_output2 = gr.Audio(label="Output") | |
tts_submit.click(infer, [tts_input1,tts_input3], [tts_output2]) | |
app.launch() |