更新了参数调整功能

app.py

@@ -34,7 +34,7 @@ net_g = SynthesizerTrn(
     **hps.model)
 _ = net_g.eval()
 
-_ = utils.load_checkpoint("pretrained_models/G_1153000.pth", net_g, None)
+_ = utils.load_checkpoint("pretrained_models/uma_1153000.pth", net_g, None)
 
 title = "Umamusume voice synthesizer \n 赛马娘语音合成器"
 description = """
@@ -47,8 +47,11 @@ If your input language is not Japanese, it will be translated to Japanese by Goo
 article = """
 
 """
+duration_slider = gr.Slider(minimum=0.1, maximum=5, value=1, step=0.1, label='时长 Duration')
+noise_scale_slider = gr.Slider(minimum=0.1, maximum=5, value=0.667, step=0.001, label='噪声比例 noise_scale')
+noise_scale_w_slider = gr.Slider(minimum=0.1, maximum=5, value=0.8, step=0.1, label='噪声偏差 noise_scale_w')
 
-def infer(text, character, language):
+def infer(text, character, language, duration, noise_scale, noise_scale_w):
     if language == '日本語':
         pass
     elif language == '简体中文':
@@ -61,7 +64,7 @@ def infer(text, character, language):
         x_tst = stn_tst.unsqueeze(0)
         x_tst_lengths = torch.LongTensor([stn_tst.size(0)])
         sid = torch.LongTensor([char_id])
-        audio = net_g.infer(x_tst, x_tst_lengths, sid=sid, noise_scale=0.667, noise_scale_w=0.8, length_scale=1)[0][0,0].data.cpu().float().numpy()
+        audio = net_g.infer(x_tst, x_tst_lengths, sid=sid, noise_scale=noise_scale, noise_scale_w=noise_scale_w, length_scale=duration)[0][0,0].data.cpu().float().numpy()
     return (text,(22050, audio))
 
 # We instantiate the Textbox class
@@ -96,5 +99,12 @@ examples = [['お疲れ様です，トレーナーさん。', '1:无声铃鹿',
             ['授業中に出しだら，学校生活終わるですわ。', '12:目白麦昆','日本語'],
             ['お帰りなさい，お兄様！', '29:米浴','日本語'],
             ['私の処女をもらっでください！', '29:米浴','日本語']]
-gr.Interface(fn=infer, inputs=[textbox, char_dropdown, language_dropdown], outputs=["text","audio"],
+gr.Interface(fn=infer, inputs=[
+    textbox, 
+    char_dropdown, 
+    language_dropdown, 
+    duration_slider,
+    noise_scale_slider, 
+    noise_scale_w_slider,
+], outputs=["text","audio"],
             title=title, description=description, article=article, examples = examples).launch()