Frankie-walsh4 commited on
Commit
f578cc7
·
1 Parent(s): a7cc90e

Introductory message

Browse files
Files changed (1) hide show
  1. app.py +3 -8
app.py CHANGED
@@ -45,6 +45,8 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
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  """
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  demo = gr.ChatInterface(
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  respond,
 
 
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  additional_inputs=[
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  gr.Textbox(value="You are an AI Calibration Expert specialized in pharmaceutical manufacturing processes. Your role is to provide precise technical guidance on calibration procedures, quality control, and maintaining optimal performance of AI-driven pharmaceutical manufacturing systems.", label="System message"),
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  gr.Slider(minimum=1, maximum=2048, value=2048, step=1, label="Max new tokens"),
@@ -57,15 +59,8 @@ demo = gr.ChatInterface(
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  label="Top-p (nucleus sampling)",
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  ),
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  ],
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- chatbot=gr.Chatbot(
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- value=[{
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- "role": "assistant",
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- "content": "Hello! I am your AI Calibration Expert, specialized in pharmaceutical manufacturing processes. I'm here to help you with technical guidance on calibration procedures, quality control, and system optimization. How can I assist you today?"
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- }],
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- type="messages"
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- ),
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  )
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  if __name__ == "__main__":
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- demo.launch(share=True, server_name="0.0.0.0")
 
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  """
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  demo = gr.ChatInterface(
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  respond,
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+ title="AI Calibration Expert",
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+ description="Hello! I am your AI Calibration Expert, specialized in pharmaceutical manufacturing processes. I'm here to help you with technical guidance on calibration procedures, quality control, and system optimization. How can I assist you today?",
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  additional_inputs=[
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  gr.Textbox(value="You are an AI Calibration Expert specialized in pharmaceutical manufacturing processes. Your role is to provide precise technical guidance on calibration procedures, quality control, and maintaining optimal performance of AI-driven pharmaceutical manufacturing systems.", label="System message"),
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  gr.Slider(minimum=1, maximum=2048, value=2048, step=1, label="Max new tokens"),
 
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  label="Top-p (nucleus sampling)",
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  ),
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  ],
 
 
 
 
 
 
 
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  )
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  if __name__ == "__main__":
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+ demo.launch(server_name="0.0.0.0")