AI/text-generation-webui
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Further reorganize the UI

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oobabooga 2023-03-15 13:24:54 -03:00
parent ffc6cb3116
commit d30a14087f
4 changed files with 43 additions and 37 deletions
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7
css/chat.css
View File

@ -1,22 +1,25 @@
.h-\[40vh\], .wrap.svelte-byatnx.svelte-byatnx.svelte-byatnx {
height: 66.67vh
}
.gradio-container {
max-width: 800px !important;
margin-left: auto !important;
margin-right: auto !important;
}
.w-screen {
width: unset
}
div.svelte-362y77>*, div.svelte-362y77>.form>* {
flex-wrap: nowrap
}
/* fixes the API documentation in chat mode */
.api-docs.svelte-1iguv9h.svelte-1iguv9h.svelte-1iguv9h {
display: grid;
}
.pending.svelte-1ed2p3z {
opacity: 1;
}

6
css/main.js
View File

@ -1,3 +1,3 @@
document.getElementById("main").parentNode.childNodes[0].style = "border: none; background-color: #8080802b; margin-bottom: 40px"
document.getElementById("main").parentNode.style = "padding: 0; margin: 0"
document.getElementById("main").parentNode.parentNode.parentNode.style = "padding: 0"
document.getElementById("main").parentNode.childNodes[0].style = "border: none; background-color: #8080802b; margin-bottom: 40px";
document.getElementById("main").parentNode.style = "padding: 0; margin: 0";
document.getElementById("main").parentNode.parentNode.parentNode.style = "padding: 0";

4
modules/ui.py
View File

@ -9,7 +9,9 @@ with open(Path(__file__).resolve().parent / '../css/main.css', 'r') as f:
with open(Path(__file__).resolve().parent / '../css/chat.css', 'r') as f:
chat_css = f.read()
with open(Path(__file__).resolve().parent / '../css/main.js', 'r') as f:
page_js = f.read()
main_js = f.read()
with open(Path(__file__).resolve().parent / '../css/chat.js', 'r') as f:
chat_js = f.read()
class ToolButton(gr.Button, gr.components.FormComponent):
"""Small button with single emoji as text, fits inside gradio forms"""

63
server.py
View File

@ -115,36 +115,37 @@ def create_model_and_preset_menus():
def create_settings_menus(default_preset):
generate_params = load_preset_values(default_preset if not shared.args.flexgen else 'Naive', return_dict=True)
with gr.Box():
gr.Markdown('Custom generation parameters')
with gr.Row():
with gr.Column():
shared.gradio['temperature'] = gr.Slider(0.01, 1.99, value=generate_params['temperature'], step=0.01, label='temperature')
shared.gradio['top_p'] = gr.Slider(0.0,1.0,value=generate_params['top_p'],step=0.01,label='top_p')
shared.gradio['top_k'] = gr.Slider(0,200,value=generate_params['top_k'],step=1,label='top_k')
shared.gradio['typical_p'] = gr.Slider(0.0,1.0,value=generate_params['typical_p'],step=0.01,label='typical_p')
with gr.Column():
shared.gradio['repetition_penalty'] = gr.Slider(1.0, 1.5, value=generate_params['repetition_penalty'],step=0.01,label='repetition_penalty')
shared.gradio['encoder_repetition_penalty'] = gr.Slider(0.8, 1.5, value=generate_params['encoder_repetition_penalty'],step=0.01,label='encoder_repetition_penalty')
shared.gradio['no_repeat_ngram_size'] = gr.Slider(0, 20, step=1, value=generate_params['no_repeat_ngram_size'], label='no_repeat_ngram_size')
shared.gradio['min_length'] = gr.Slider(0, 2000, step=1, value=generate_params['min_length'] if shared.args.no_stream else 0, label='min_length', interactive=shared.args.no_stream)
shared.gradio['do_sample'] = gr.Checkbox(value=generate_params['do_sample'], label='do_sample')
with gr.Row():
with gr.Column():
with gr.Box():
gr.Markdown('Custom generation parameters')
with gr.Row():
with gr.Column():
shared.gradio['temperature'] = gr.Slider(0.01, 1.99, value=generate_params['temperature'], step=0.01, label='temperature')
shared.gradio['top_p'] = gr.Slider(0.0,1.0,value=generate_params['top_p'],step=0.01,label='top_p')
shared.gradio['top_k'] = gr.Slider(0,200,value=generate_params['top_k'],step=1,label='top_k')
shared.gradio['typical_p'] = gr.Slider(0.0,1.0,value=generate_params['typical_p'],step=0.01,label='typical_p')
with gr.Column():
shared.gradio['repetition_penalty'] = gr.Slider(1.0, 1.5, value=generate_params['repetition_penalty'],step=0.01,label='repetition_penalty')
shared.gradio['encoder_repetition_penalty'] = gr.Slider(0.8, 1.5, value=generate_params['encoder_repetition_penalty'],step=0.01,label='encoder_repetition_penalty')
shared.gradio['no_repeat_ngram_size'] = gr.Slider(0, 20, step=1, value=generate_params['no_repeat_ngram_size'], label='no_repeat_ngram_size')
shared.gradio['min_length'] = gr.Slider(0, 2000, step=1, value=generate_params['min_length'] if shared.args.no_stream else 0, label='min_length', interactive=shared.args.no_stream)
shared.gradio['do_sample'] = gr.Checkbox(value=generate_params['do_sample'], label='do_sample')
with gr.Column():
with gr.Box():
gr.Markdown('Contrastive search')
shared.gradio['penalty_alpha'] = gr.Slider(0, 5, value=generate_params['penalty_alpha'], label='penalty_alpha')
with gr.Box():
gr.Markdown('Contrastive search:')
shared.gradio['penalty_alpha'] = gr.Slider(0, 5, value=generate_params['penalty_alpha'], label='penalty_alpha')
with gr.Box():
gr.Markdown('Beam search (uses a lot of VRAM)')
with gr.Row():
with gr.Column():
shared.gradio['num_beams'] = gr.Slider(1, 20, step=1, value=generate_params['num_beams'], label='num_beams')
with gr.Column():
shared.gradio['length_penalty'] = gr.Slider(-5, 5, value=generate_params['length_penalty'], label='length_penalty')
shared.gradio['early_stopping'] = gr.Checkbox(value=generate_params['early_stopping'], label='early_stopping')
with gr.Box():
gr.Markdown('Beam search (uses a lot of VRAM):')
with gr.Row():
with gr.Column():
shared.gradio['num_beams'] = gr.Slider(1, 20, step=1, value=generate_params['num_beams'], label='num_beams')
with gr.Column():
shared.gradio['length_penalty'] = gr.Slider(-5, 5, value=generate_params['length_penalty'], label='length_penalty')
shared.gradio['early_stopping'] = gr.Checkbox(value=generate_params['early_stopping'], label='early_stopping')
with gr.Box():
gr.Markdown('Soft prompt')
with gr.Accordion('Soft prompt', open=False):
with gr.Row():
shared.gradio['softprompts_menu'] = gr.Dropdown(choices=available_softprompts, value='None', label='Soft prompt')
ui.create_refresh_button(shared.gradio['softprompts_menu'], lambda : None, lambda : {'choices': get_available_softprompts()}, 'refresh-button')
@ -320,7 +321,7 @@ if shared.args.chat or shared.args.cai_chat:
shared.gradio['upload_img_me'].upload(reload_func, reload_inputs, [shared.gradio['display']])
shared.gradio['Stop'].click(reload_func, reload_inputs, [shared.gradio['display']])
shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.page_js}}}")
shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.main_js+ui.chat_js}}}")
shared.gradio['interface'].load(lambda : chat.load_default_history(shared.settings[f'name1{suffix}'], shared.settings[f'name2{suffix}']), None, None)
shared.gradio['interface'].load(reload_func, reload_inputs, [shared.gradio['display']], show_progress=True)
@ -351,7 +352,7 @@ elif shared.args.notebook:
gen_events.append(shared.gradio['Generate'].click(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream, api_name='textgen'))
gen_events.append(shared.gradio['textbox'].submit(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream))
shared.gradio['Stop'].click(None, None, None, cancels=gen_events)
shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.page_js}}}")
shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.main_js}}}")
else:
with gr.Blocks(css=ui.css, analytics_enabled=False, title=title) as shared.gradio['interface']:
@ -387,7 +388,7 @@ else:
gen_events.append(shared.gradio['textbox'].submit(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream))
gen_events.append(shared.gradio['Continue'].click(generate_reply, [shared.gradio['output_textbox']] + shared.input_params[1:], output_params, show_progress=shared.args.no_stream))
shared.gradio['Stop'].click(None, None, None, cancels=gen_events)
shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.page_js}}}")
shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.main_js}}}")
shared.gradio['interface'].queue()
if shared.args.listen: