Update app.py

app.py

@@ -116,7 +116,7 @@ idols = ["高咲侑","歩夢","かすみ","しずく","果林","愛","彼方","
 
 
 
-dev = torch.device("cuda:0")
+dev = torch.device("cpu")
 hps_ms = utils.get_hparams_from_file("config.json")
 net_g_ms = SynthesizerTrn(
     len(symbols),
@@ -131,153 +131,6 @@ app = gr.Blocks()
 
 
 
-with app:
-    with gr.Tabs():
-
-        with gr.TabItem("Basic"):
-
-            tts_input1 = gr.TextArea(label="旧模型", value="一次審査、二次審査、それぞれの欄に記入をお願いします。")
-            language = gr.Dropdown(label="选择语言",choices=lan, value="日文", interactive=True)
-            para_input1 = gr.Slider(minimum= 0.01,maximum=1.0,label="更改噪声比例", value=0.667)
-            para_input2 = gr.Slider(minimum= 0.01,maximum=1.0,label="更改噪声偏差", value=0.8)
-            para_input3 = gr.Slider(minimum= 0.1,maximum=10,label="更改时间比例", value=1)
-            tts_submit = gr.Button("Generate", variant="primary")
-            speaker1 = gr.Dropdown(label="选择说话人",choices=idols, value="かすみ", interactive=True)
-            tts_output2 = gr.Audio(label="Output")
-            tts_submit.click(infer, [language,tts_input1,speaker1,para_input1,para_input2,para_input3], [tts_output2])
-    #app.launch(share=True)
-    app.launch()
-'''
-import time
-import matplotlib.pyplot as plt
-import IPython.display as ipd
-import re
-import os
-import json
-import math
-import torch
-from torch import nn
-from torch.nn import functional as F
-from torch.utils.data import DataLoader
-import gradio as gr
-import commons
-import utils
-from data_utils import TextAudioLoader, TextAudioCollate, TextAudioSpeakerLoader, TextAudioSpeakerCollate
-from models import SynthesizerTrn
-from text.symbols import symbols
-from text import text_to_sequence
-import unicodedata
-from scipy.io.wavfile import write
-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
-
-
-def get_label(text, label):
-    if f'[{label}]' in text:
-        return True, text.replace(f'[{label}]', '')
-    else:
-        return False, text
-
-
-
-
-
-def selection(speaker):
-    if speaker == "高咲侑":
-        spk = 0
-        return spk
-
-    elif speaker == "歩夢":
-        spk = 1
-        return spk
-
-    elif speaker == "かすみ":
-        spk = 2
-        return spk
-
-    elif speaker == "しずく":
-        spk = 3
-        return spk
-
-    elif speaker == "果林":
-        spk = 4
-        return spk
-    
-    elif speaker == "愛":
-        spk = 5
-        return spk
-
-    elif speaker == "彼方":
-        spk = 6
-        return spk
-
-    elif speaker == "せつ菜":
-        spk = 7
-        return spk
-    elif speaker == "エマ":
-        spk = 8
-        return spk
-    elif speaker == "璃奈":
-        spk = 9
-        return spk
-    elif speaker == "栞子":
-        spk = 10
-        return spk
-    elif speaker == "ランジュ":
-        spk = 11
-        return spk
-    elif speaker == "ミア":
-        spk = 12
-        return spk
-    elif speaker == "派蒙":
-        spk = 16
-        return spk
-    
-def sle(language,tts_input0):
-    if language == "中文":
-        tts_input1 = "[ZH]" + tts_input0.replace('\n','。').replace(' ',',') + "[ZH]"
-        return tts_input1
-    if language == "英文":
-        tts_input1 = "[EN]" + tts_input0.replace('\n','.').replace(' ',',') + "[EN]"
-        return tts_input1
-    elif language == "日文":
-        tts_input1 = "[JA]" + tts_input0.replace('\n','。').replace(' ',',') + "[JA]"
-        return tts_input1
-def infer(language,text,speaker_id, n_scale= 0.667,n_scale_w = 0.8, l_scale = 1 ):
-    speaker_id = int(selection(speaker_id))
-    answer = sle(language,text)
-    stn_tst = get_text(answer, hps_ms)
-    with torch.no_grad():
-        x_tst = stn_tst.unsqueeze(0).to(dev)
-        x_tst_lengths = torch.LongTensor([stn_tst.size(0)]).to(dev)
-        sid = torch.LongTensor([speaker_id]).to(dev)
-        t1 = time.time()
-        audio = net_g_ms.infer(x_tst, x_tst_lengths, sid=sid, noise_scale=n_scale, noise_scale_w=n_scale_w, length_scale=l_scale)[0][0,0].data.cpu().float().numpy()
-        t2 = time.time()
-        spending_time = "推理时间："+str(t2-t1)+"s"
-        image = '1.png'
-        print(spending_time)
-    return (hps_ms.data.sampling_rate, audio),image
-lan = ["中文","日文","英文"]
-idols = ["高咲侑","歩夢","かすみ","しずく","果林","愛","彼方","せつ菜","璃奈","栞子","エマ","ランジュ","ミア","派蒙"]
-dev = torch.device("cpu")
-hps_ms = utils.get_hparams_from_file("config.json")
-net_g_ms = SynthesizerTrn(
-    len(symbols),
-    hps_ms.data.filter_length // 2 + 1,
-    hps_ms.train.segment_size // hps_ms.data.hop_length,
-    n_speakers=hps_ms.data.n_speakers,
-    **hps_ms.model).to(dev)
-_ = net_g_ms.eval()
-
-_ = utils.load_checkpoint("G_842000.pth", net_g_ms, None)
-
-app = gr.Blocks()
-
 with app:
     with gr.Tabs():