kh-CHEUNG commited on
Commit
fb059e3
1 Parent(s): 1a40aec

Update app.py

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Files changed (1) hide show
  1. app.py +5 -8
app.py CHANGED
@@ -38,6 +38,9 @@ asr_pl = pipeline(
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  device=device,
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  )
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  @spaces.GPU
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  def respond(
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  message,
@@ -92,12 +95,8 @@ transcribe_interface = gr.Interface(
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  task_input_choice,
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  ],
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  outputs="text",
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- title="Whisper Large V3: Transcribe Audio",
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- description=(
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- "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
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- f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
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- " of arbitrary length."
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- ),
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  allow_flagging="never",
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  )
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@@ -106,8 +105,6 @@ transcribe_interface = gr.Interface(
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  For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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  """
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- application_title = "Enlight Innovations Limited -- Demo"
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- application_description = "This demo is desgined to illustrate our basic idea and feasibility in implementation."
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  chatbot_sys_output = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
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  chatbot_max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
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  chatbot_temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
 
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  device=device,
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  )
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+ application_title = "Enlight Innovations Limited -- Demo"
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+ application_description = "This demo is desgined to illustrate our basic idea and feasibility in implementation."
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+
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  @spaces.GPU
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  def respond(
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  message,
 
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  task_input_choice,
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  ],
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  outputs="text",
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+ title=application_title,
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+ description=application_description,
 
 
 
 
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  allow_flagging="never",
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  )
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  For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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  """
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  chatbot_sys_output = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
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  chatbot_max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
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  chatbot_temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")