text2tag-llm / app.py
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import gradio as gr
from utils import (
gradio_copy_text,
COPY_ACTION_JS,
)
from tagger import (
convert_danbooru_to_e621_prompt,
insert_recom_prompt,
)
from genimage import (
generate_image,
)
from llmdolphin import (
get_llm_formats,
get_dolphin_model_format,
get_dolphin_models,
get_dolphin_model_info,
select_dolphin_model,
select_dolphin_format,
add_dolphin_models,
get_dolphin_sysprompt,
get_dolphin_sysprompt_mode,
select_dolphin_sysprompt,
get_dolphin_languages,
select_dolphin_language,
dolphin_respond,
dolphin_parse,
)
with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", css="") as app:
gr.Markdown("""# Natural Text to SD Prompt Translator With LLM alpha
Text in natural language (English, Japanese, ...) => Prompt
""")
with gr.Column(scale=1):
with gr.Group():
chatbot = gr.Chatbot(likeable=False, show_copy_button=True, show_share_button=False, layout="panel", container=True, )
with gr.Row():
chat_msg = gr.Textbox(show_label=False, placeholder="Input text in English, Japanese, or any other languages and press Enter or click Send.", scale=4)
chat_submit = gr.Button("Send", scale=1)
chat_clear = gr.Button("Clear", scale=1)
with gr.Accordion("Additional inputs", open=False):
chat_format = gr.Dropdown(choices=get_llm_formats(), value=get_dolphin_model_format(get_dolphin_models()[0][1]), label="Message format")
chat_sysmsg = gr.Textbox(value=get_dolphin_sysprompt(), label="System message")
chat_tokens = gr.Slider(minimum=1, maximum=4096, value=1024, step=1, label="Max tokens")
chat_temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
chat_topp = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p")
chat_topk = gr.Slider(minimum=0, maximum=100, value=40, step=1, label="Top-k")
chat_rp = gr.Slider(minimum=0.0, maximum=2.0, value=1.1, step=0.1, label="Repetition penalty")
with gr.Accordion("Add models", open=True):
chat_add_text = gr.Textbox(label="URL or Repo ID", placeholder="http://huggingface.co/.../...gguf or author/model", lines=1)
chat_add_format = gr.Dropdown(choices=get_llm_formats(), value=get_llm_formats()[0], label="Message format")
chat_add_submit = gr.Button("Update lists of models")
with gr.Accordion("Modes", open=True):
chat_model = gr.Dropdown(choices=get_dolphin_models(), value=get_dolphin_models()[0][1], allow_custom_value=True, label="Model")
chat_model_info = gr.Markdown(value=get_dolphin_model_info(get_dolphin_models()[0][1]), label="Model info")
with gr.Row():
chat_mode = gr.Dropdown(choices=get_dolphin_sysprompt_mode(), value=get_dolphin_sysprompt_mode()[0], allow_custom_value=False, label="Mode")
chat_lang = gr.Dropdown(choices=get_dolphin_languages(), value="English", allow_custom_value=True, label="Output language")
with gr.Column(scale=1):
with gr.Row():
with gr.Group():
output_text = gr.TextArea(label="Output tags", interactive=False, show_copy_button=True)
copy_btn = gr.Button(value="Copy to clipboard", size="sm", interactive=False)
elapsed_time_md = gr.Markdown(label="Elapsed time", value="", visible=False)
with gr.Group():
output_text_pony = gr.TextArea(label="Output tags (Pony e621 style)", interactive=False, show_copy_button=True)
copy_btn_pony = gr.Button(value="Copy to clipboard", size="sm", interactive=False)
with gr.Accordion(label="Advanced options", open=False, visible=False):
tag_type = gr.Radio(label="Output tag conversion", info="danbooru for Animagine, e621 for Pony.", choices=["danbooru", "e621"], value="e621", visible=False)
dummy_np = gr.Textbox(label="Negative prompt", value="", visible=False)
dummy_np_pony = gr.Textbox(label="Negative prompt", value="", visible=False)
recom_animagine = gr.Textbox(label="Animagine reccomended prompt", value="Animagine", visible=False)
recom_pony = gr.Textbox(label="Pony reccomended prompt", value="Pony", visible=False)
generate_image_btn = gr.Button(value="GENERATE IMAGE", size="lg", variant="primary")
result_image = gr.Gallery(label="Generated images", columns=1, object_fit="contain", container=True, preview=True, show_label=False, show_share_button=False, show_download_button=True, interactive=False, visible=True, format="png")
gr.on(
triggers=[chat_msg.submit, chat_submit.click],
fn=dolphin_respond,
inputs=[chat_msg, chatbot, chat_model, chat_sysmsg, chat_tokens, chat_temperature, chat_topp, chat_topk, chat_rp],
outputs=[chatbot],
queue=True,
show_progress="full",
trigger_mode="once",
).success(dolphin_parse, [chatbot], [output_text, copy_btn, copy_btn_pony]).success(
convert_danbooru_to_e621_prompt, [output_text, tag_type], [output_text_pony], queue=False,
).success(
insert_recom_prompt, [output_text, dummy_np, recom_animagine], [output_text, dummy_np], queue=False,
).success(
insert_recom_prompt, [output_text_pony, dummy_np_pony, recom_pony], [output_text_pony, dummy_np_pony], queue=False,
)
chat_clear.click(lambda: None, None, chatbot, queue=False)
chat_model.change(select_dolphin_model, [chat_model], [chat_model, chat_format, chat_model_info], queue=True, show_progress="full")\
.success(lambda: None, None, chatbot, queue=False)
chat_format.change(select_dolphin_format, [chat_format], [chat_format], queue=False)\
.success(lambda: None, None, chatbot, queue=False)
chat_mode.change(select_dolphin_sysprompt, [chat_mode], [chat_sysmsg], queue=False)
chat_lang.change(select_dolphin_language, [chat_lang], [chat_sysmsg], queue=False)
gr.on(
triggers=[chat_add_text.submit, chat_add_submit.click],
fn=add_dolphin_models,
inputs=[chat_add_text, chat_add_format],
outputs=[chat_model],
queue=False,
trigger_mode="once",
)
copy_btn.click(gradio_copy_text, [output_text], js=COPY_ACTION_JS)
copy_btn_pony.click(gradio_copy_text, [output_text_pony], js=COPY_ACTION_JS)
generate_image_btn.click(generate_image, [output_text, dummy_np], [result_image], show_progress="full")
if __name__ == "__main__":
app.queue()
app.launch()