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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() |