Update app.py

app.py

@@ -17,7 +17,7 @@ from utils import slugify, write_srt, write_vtt
 from vad import NonSpeechStrategy, PeriodicTranscriptionConfig, TranscriptionConfig, VadPeriodicTranscription, VadSileroTranscription
 
 # Limitations (set to -1 to disable)
-DEFAULT_INPUT_AUDIO_MAX_DURATION = 600 # seconds
+DEFAULT_INPUT_AUDIO_MAX_DURATION = 1200 # seconds #initial value 600
 
 # Whether or not to automatically delete all uploaded files, to save disk space
 DELETE_UPLOADED_FILES = True
@@ -216,6 +216,12 @@ class WhisperTranscriber:
             file.write(text)
 
         return file.name
+       
+ # translate_checkbox = gr.inputs.Checkbox(label = "Translate to English", default=False)
+ # transcription_tb = gr.Textbox(label="Transcription", lines=10, max_lines=20)
+ # translation_tb = gr.Textbox(label="Translation", lines=10, max_lines=20)
+ # detected_lang = gr.outputs.HTML(label="Detected Language")
+ 
 
 
 def create_ui(inputAudioMaxDuration, share=False, server_name: str = None):
@@ -224,7 +230,7 @@ def create_ui(inputAudioMaxDuration, share=False, server_name: str = None):
     ui_description = "Whisper是一个语音转文字模型，经过多个语音数据集的训练而成。也可以进行多语言的识别任务和翻译（多种语言翻译成英文）" 
 
 
-    ui_description += "\n\n\n\n对于时长大于10分钟的非英语音频文件，建议选择VAD选项中的Silero VAD (语音活动检测器)。"
+    ui_description += "\n\n\n\n对于时长大于20分钟的非英语音频文件，建议选择VAD选项中的Silero VAD (语音活动检测器)。"
 
     if inputAudioMaxDuration > 0:
         ui_description += "\n\n" + "音频最大时长: " + str(inputAudioMaxDuration) + " 秒"