dar-tau commited on
Commit
dafad0d
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1 Parent(s): 41ee80a

Update app.py

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Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -111,7 +111,6 @@ json_output = gr.JSON()
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  css = '''
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  .bubble {
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- border: 2px solid #000;
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  border-radius: 10px;
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  padding: 10px;
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  margin-top: 15px;
@@ -223,6 +222,10 @@ with gr.Blocks(theme=gr.themes.Default(), css=css) as demo:
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  with gr.Group('Interpretation'):
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  interpretation_prompt = gr.Text(suggested_interpretation_prompts[0], label='Interpretation Prompt')
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  with gr.Accordion(open=False, label='Settings'):
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  with gr.Row():
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  num_tokens = gr.Slider(1, 100, step=1, value=20, label='Max. # of Tokens')
@@ -236,10 +239,7 @@ with gr.Blocks(theme=gr.themes.Default(), css=css) as demo:
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  top_k = gr.Slider(1, 1000, value=50, step=1, label='top k')
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  top_p = gr.Slider(0., 1., value=0.95, label='top p')
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- interpretation_bubbles = [gr.Textbox('', container=False, visible=False, elem_classes=['bubble',
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- 'even_bubble' if i % 2 == 0 else 'odd_bubble'])
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- for i in range(model.config.num_hidden_layers)]
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-
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  for i, btn in enumerate(tokens_container):
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  btn.click(partial(run_interpretation, i=i), [global_state, interpretation_prompt,
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  num_tokens, do_sample, temperature,
 
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  css = '''
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  .bubble {
 
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  border-radius: 10px;
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  padding: 10px;
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  margin-top: 15px;
 
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  with gr.Group('Interpretation'):
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  interpretation_prompt = gr.Text(suggested_interpretation_prompts[0], label='Interpretation Prompt')
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+ interpretation_bubbles = [gr.Textbox('', container=False, visible=False, elem_classes=['bubble',
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+ 'even_bubble' if i % 2 == 0 else 'odd_bubble'])
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+ for i in range(model.config.num_hidden_layers)]
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+
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  with gr.Accordion(open=False, label='Settings'):
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  with gr.Row():
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  num_tokens = gr.Slider(1, 100, step=1, value=20, label='Max. # of Tokens')
 
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  top_k = gr.Slider(1, 1000, value=50, step=1, label='top k')
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  top_p = gr.Slider(0., 1., value=0.95, label='top p')
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+ # event listeners
 
 
 
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  for i, btn in enumerate(tokens_container):
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  btn.click(partial(run_interpretation, i=i), [global_state, interpretation_prompt,
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  num_tokens, do_sample, temperature,