Update app.py

app.py

@@ -12,7 +12,7 @@ from src.cost_time import calculate_time
 from configs import *
 os.environ["GRADIO_TEMP_DIR"]= './temp'
 
-def get_title(title = 'Linly 智能对话系统 (Linly-Talker)'):
+def get_title(title = 'Linly (Linly-Talker)'):
     description = f"""
     <p style="text-align: center; font-weight: bold;">
         <span style="font-size: 28px;">{title}</span>
@@ -24,7 +24,7 @@ def get_title(title = 'Linly 智能对话系统 (Linly-Talker)'):
             [<a herf="https://kedreamix.github.io/" target="_blank">个人主页</a>]
         </span>
         <br> 
-        <span>Linly-Talker 是一款智能 AI 对话系统，结合了大型语言模型 (LLMs) 与视觉模型，是一种新颖的人工智能交互方式。</span>
+        <span>Intelligent dialogue system that combines LLMs with Visual Generation models</span>
     </p>
     """
     return description
@@ -314,23 +314,23 @@ def Talker_response_img(question_audio, method, text, voice, rate, volume, pitch
 
 def app():
     with gr.Blocks(analytics_enabled=False, title = 'Linly-Talker') as inference:
-        gr.HTML(get_title("Linly 智能对话系统 (Linly-Talker) 文本/语音对话"))
+        gr.HTML(get_title("Linly (Linly-Talker)"))
         with gr.Row(equal_height=False):
             with gr.Column(variant='panel'): 
                 with gr.Tabs(elem_id="question_audio"):
-                    with gr.TabItem('对话'):
+                    with gr.TabItem('Dialogue'):
                         with gr.Column(variant='panel'):
-                            question_audio = gr.Audio(sources=['microphone','upload'], type="filepath", label = '语音对话')
+                            question_audio = gr.Audio(sources=['microphone','upload'], type="filepath", label = 'Voice Conversation')
                             input_text = gr.Textbox(label="Input Text", lines=3)
                             voice, rate, volume, pitch, batch_size, character, method = voice_setting(tts.SUPPORTED_VOICE)
-                            asr_text = gr.Button('语音识别（语音对话后点击）')
+                            asr_text = gr.Button('Voice Recognition tab click to record')
                             asr_text.click(fn=Asr,inputs=[question_audio],outputs=[input_text])
                         
             with gr.Column(variant='panel'): 
                 with gr.Tabs():
-                    with gr.TabItem('数字人问答'):
-                        gen_video = gr.Video(label="生成视频", format="mp4", scale=1, autoplay=False)
-                video_button = gr.Button("提交视频生成", variant='primary')
+                    with gr.TabItem('Digital People Q&A'):
+                        gen_video = gr.Video(label="Generate ", format="mp4", scale=1, autoplay=False)
+                video_button = gr.Button("Submit for video generation", variant='primary')
             video_button.click(fn=Talker_response,inputs=[question_audio, method, input_text,voice, rate, volume, pitch, batch_size, character],outputs=[gen_video])
 
         with gr.Row():