MattGPT commited on
Commit
3377f72
1 Parent(s): ca7d366

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -4
app.py CHANGED
@@ -29,7 +29,8 @@ def create_config(model_name, num_labels, use_cache):
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  return str(config) # Return the configuration as a string.
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  # Start building the Gradio interface
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- with gr.Blocks() as demo:
 
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  gr.Markdown("## Config Class - Transformers") # Display a title for the web interface.
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  with gr.Row(): # Create a row in the interface to organize elements horizontally.
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  # Dropdown menu to select a model.
@@ -41,9 +42,9 @@ with gr.Blocks() as demo:
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  # Numeric input for the number of labels (used in the model configuration).
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  num_labels_input = gr.Number(label="Number of Labels", value=2)
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  # Checkbox for users to decide whether to use caching.
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- use_cache_input = gr.Checkbox(label="Use Cache", value=False)
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  # Textbox to display the generated configuration.
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- output_area = gr.Textbox(label="Config Output")
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  # Button to create the configuration.
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  submit_button = gr.Button("Create Config")
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@@ -53,4 +54,4 @@ with gr.Blocks() as demo:
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  submit_button.click(fn=create_config, inputs=[model_dropdown, num_labels_input, use_cache_input], outputs=output_area)
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  # Launch the Gradio interface.
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- demo.launch()
 
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  return str(config) # Return the configuration as a string.
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  # Start building the Gradio interface
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+ with gr.Group(elem_id="UI-conf")
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+ with gr.Blocks() as demo:
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  gr.Markdown("## Config Class - Transformers") # Display a title for the web interface.
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  with gr.Row(): # Create a row in the interface to organize elements horizontally.
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  # Dropdown menu to select a model.
 
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  # Numeric input for the number of labels (used in the model configuration).
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  num_labels_input = gr.Number(label="Number of Labels", value=2)
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  # Checkbox for users to decide whether to use caching.
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+ use_cache_input = gr.Checkbox(label="Use Cache", value=true)
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  # Textbox to display the generated configuration.
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+ output_area = gr.Textbox(label="Config Output",)
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  # Button to create the configuration.
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  submit_button = gr.Button("Create Config")
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  submit_button.click(fn=create_config, inputs=[model_dropdown, num_labels_input, use_cache_input], outputs=output_area)
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  # Launch the Gradio interface.
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+ demo.launch()