Update app.py

app.py

@@ -84,7 +84,7 @@ def convert_wav_to_mp3(wav_file):
     os.system(" ".join(command))
     return output_path_mp3
     
-def tts_generator(text,  sdp_ratio, noise_scale, noise_scale_w, length_scale, model):
+def tts_generator(text, sdp_ratio, noise_scale, noise_scale_w, length_scale, model):
     global net_g,speakers
     model_path = models[model]
     net_g, _, _, _ = utils.load_checkpoint(model_path, net_g, None, skip_optimizer=True)
@@ -115,10 +115,9 @@ if __name__ == "__main__":
     speaker = list(speaker_ids.keys())[0]
 
     css='''
-        #main {background-color: background-image: linear-gradient(to top, #050e15, #13182a, #2f1a37, #501737, #6b1627)};
+        #main {background-image: linear-gradient(to top, #050e15, #13182a, #2f1a37, #501737, #6b1627)};
         #elements {background-color:transparent;}
-        #btn {border: 2px solid #3ed6e500; margin-left: auto; margin-right: auto;background-color:#3ed6e500;border-radius: 5px;
-           :hover{color: #92ccd8; } }
+        #btn {border: 2px solid #3ed6e500; margin-left: auto; margin-right: auto;background-color:#3ed6e500;border-radius: 5px;}
         '''
     
     with gr.Blocks(css=css) as app:
@@ -131,14 +130,12 @@ if __name__ == "__main__":
                                 info="使用huggingface的免费CPU进行推理，因此速度不快，一次性不要输入超过500汉字",
                                  elem_id="elements" )
                 model = gr.Radio(choices=list(models.keys()), value=list(models.keys())[0], label='音声模型',elem_id="elements")
-                #model = gr.Dropdown(choices=models,value=models[0], label='音声模型')
-                #speaker = gr.Radio(choices=speakers, value=speakers[0], label='Speaker')
                 gr.Markdown(value="生成参数")
                 sdp_ratio = gr.Slider(minimum=0, maximum=1, value=0.2, step=0.01, label='语调变化',elem_id="elements")
                 noise_scale = gr.Slider(minimum=0.1, maximum=1.5, value=0.5, step=0.01, label='感情变化')
                 noise_scale_w = gr.Slider(minimum=0.1, maximum=1.4, value=0.9, step=0.01, label='音节长度')
                 length_scale = gr.Slider(minimum=0.1, maximum=2, value=1, step=0.01, label='生成语音总长度')
-                btn = gr.Button("生成", variant="primary",elem_id="btn")
+                btn = gr.Button("✨生成", variant="primary",elem_id="btn")
             with gr.Column(elem_id="elements"):
                 text_output = gr.Textbox(label="Message")
                 audio_output = gr.Audio(label="试听")