|
|
@@ -94,7 +94,7 @@ def generate_html(s):
|
|
|
s = f'<div style="max-width: 600px; margin-left: auto; margin-right: auto; background-color:#eef2ff; color:#0b0f19; padding:3em; font-size:1.2em;">{s}</div>'
|
|
|
return s
|
|
|
|
|
|
-def generate_reply(question, max_length, inference_settings, selected_model, eos_token=None):
|
|
|
+def generate_reply(question, tokens, inference_settings, selected_model, eos_token=None):
|
|
|
global model, tokenizer, model_name, loaded_preset, preset
|
|
|
|
|
|
if selected_model != model_name:
|
|
|
@@ -176,19 +176,19 @@ if args.notebook:
|
|
|
html = gr.HTML()
|
|
|
btn = gr.Button("Generate")
|
|
|
|
|
|
+ length_slider = gr.Slider(minimum=1, maximum=2000, step=1, label='max_new_tokens', value=200)
|
|
|
with gr.Row():
|
|
|
with gr.Column():
|
|
|
- length_slider = gr.Slider(minimum=1, maximum=2000, step=1, label='max_length', value=200)
|
|
|
- with gr.Column():
|
|
|
model_menu = gr.Dropdown(choices=available_models, value=model_name, label='Model')
|
|
|
- preset_menu = gr.Dropdown(choices=available_presets, value="NovelAI-Sphinx Moth", label='Preset')
|
|
|
+ with gr.Column():
|
|
|
+ preset_menu = gr.Dropdown(choices=available_presets, value="NovelAI-Sphinx Moth", label='Settings preset')
|
|
|
|
|
|
btn.click(generate_reply, [textbox, length_slider, preset_menu, model_menu], [textbox, markdown, html], show_progress=True, api_name="textgen")
|
|
|
textbox.submit(generate_reply, [textbox, length_slider, preset_menu, model_menu], [textbox, markdown, html], show_progress=True)
|
|
|
elif args.chat:
|
|
|
history = []
|
|
|
|
|
|
- def chatbot_wrapper(text, max_length, inference_settings, selected_model, name1, name2, context):
|
|
|
+ def chatbot_wrapper(text, tokens, inference_settings, selected_model, name1, name2, context):
|
|
|
question = context+'\n\n'
|
|
|
for i in range(len(history)):
|
|
|
question += f"{name1}: {history[i][0][3:-5].strip()}\n"
|
|
|
@@ -196,7 +196,7 @@ elif args.chat:
|
|
|
question += f"{name1}: {text.strip()}\n"
|
|
|
question += f"{name2}:"
|
|
|
|
|
|
- reply = generate_reply(question, max_length, inference_settings, selected_model, eos_token='\n')[0]
|
|
|
+ reply = generate_reply(question, tokens, inference_settings, selected_model, eos_token='\n')[0]
|
|
|
reply = reply[len(question):].split('\n')[0].strip()
|
|
|
history.append((text, reply))
|
|
|
return history
|
|
|
@@ -218,12 +218,13 @@ elif args.chat:
|
|
|
gr.Markdown(description)
|
|
|
with gr.Row():
|
|
|
with gr.Column():
|
|
|
+ length_slider = gr.Slider(minimum=1, maximum=2000, step=1, label='max_new_tokens', value=200)
|
|
|
with gr.Row():
|
|
|
with gr.Column():
|
|
|
model_menu = gr.Dropdown(choices=available_models, value=model_name, label='Model')
|
|
|
- preset_menu = gr.Dropdown(choices=available_presets, value="NovelAI-Sphinx Moth", label='Preset')
|
|
|
with gr.Column():
|
|
|
- length_slider = gr.Slider(minimum=1, maximum=2000, step=1, label='max_length', value=200)
|
|
|
+ preset_menu = gr.Dropdown(choices=available_presets, value="NovelAI-Sphinx Moth", label='Settings preset')
|
|
|
+
|
|
|
name1 = gr.Textbox(value=name1_str, lines=1, label='Your name')
|
|
|
name2 = gr.Textbox(value=name2_str, lines=1, label='Bot\'s name')
|
|
|
context = gr.Textbox(value=context_str, lines=2, label='Context')
|
|
|
@@ -241,8 +242,8 @@ elif args.chat:
|
|
|
btn2.click(lambda x: "", display1, display1)
|
|
|
else:
|
|
|
|
|
|
- def continue_wrapper(question, max_length, inference_settings, selected_model):
|
|
|
- a, b, c = generate_reply(question, max_length, inference_settings, selected_model)
|
|
|
+ def continue_wrapper(question, tokens, inference_settings, selected_model):
|
|
|
+ a, b, c = generate_reply(question, tokens, inference_settings, selected_model)
|
|
|
return a, a, b, c
|
|
|
|
|
|
with gr.Blocks(css=css, analytics_enabled=False) as interface:
|
|
|
@@ -250,8 +251,8 @@ else:
|
|
|
with gr.Row():
|
|
|
with gr.Column():
|
|
|
textbox = gr.Textbox(value=default_text, lines=15, label='Input')
|
|
|
- length_slider = gr.Slider(minimum=1, maximum=2000, step=1, label='max_length', value=200)
|
|
|
- preset_menu = gr.Dropdown(choices=available_presets, value="NovelAI-Sphinx Moth", label='Preset')
|
|
|
+ length_slider = gr.Slider(minimum=1, maximum=2000, step=1, label='max_new_tokens', value=200)
|
|
|
+ preset_menu = gr.Dropdown(choices=available_presets, value="NovelAI-Sphinx Moth", label='Settings preset')
|
|
|
model_menu = gr.Dropdown(choices=available_models, value=model_name, label='Model')
|
|
|
btn = gr.Button("Generate")
|
|
|
cont = gr.Button("Continue")
|