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add llava to llamaboard

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hiyouga
2024-04-26 06:41:35 +08:00
parent e83e2fa897
commit cd3a960f81
13 changed files with 66 additions and 15 deletions
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7
src/llmtuner/webui/components/chatbot.py
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@@ -17,7 +17,7 @@ if TYPE_CHECKING:
def create_chat_box(
engine: "Engine", visible: bool = False
) -> Tuple["gr.Column", "Component", "Component", Dict[str, "Component"]]:
) -> Tuple["Component", "Component", Dict[str, "Component"]]:
with gr.Column(visible=visible) as chat_box:
chatbot = gr.Chatbot(show_copy_button=True)
messages = gr.State([])
@@ -29,7 +29,7 @@ def create_chat_box(
system = gr.Textbox(show_label=False)
tools = gr.Textbox(show_label=False, lines=4)
with gr.Column():
with gr.Column() as image_box:
image = gr.Image(type="numpy")
query = gr.Textbox(show_label=False, lines=8)
@@ -55,13 +55,14 @@ def create_chat_box(
clear_btn.click(lambda: ([], []), outputs=[chatbot, messages])
return (
chat_box,
chatbot,
messages,
dict(
chat_box=chat_box,
role=role,
system=system,
tools=tools,
image_box=image_box,
image=image,
query=query,
submit_btn=submit_btn,

3
src/llmtuner/webui/components/export.py
View File

@@ -27,6 +27,7 @@ def save_model(
adapter_path: List[str],
finetuning_type: str,
template: str,
visual_inputs: bool,
export_size: int,
export_quantization_bit: int,
export_quantization_dataset: str,
@@ -66,6 +67,7 @@ def save_model(
adapter_name_or_path=adapter_name_or_path,
finetuning_type=finetuning_type,
template=template,
visual_inputs=visual_inputs,
export_dir=export_dir,
export_hub_model_id=export_hub_model_id or None,
export_size=export_size,
@@ -105,6 +107,7 @@ def create_export_tab(engine: "Engine") -> Dict[str, "Component"]:
engine.manager.get_elem_by_id("top.adapter_path"),
engine.manager.get_elem_by_id("top.finetuning_type"),
engine.manager.get_elem_by_id("top.template"),
engine.manager.get_elem_by_id("top.visual_inputs"),
export_size,
export_quantization_bit,
export_quantization_dataset,

14
src/llmtuner/webui/components/infer.py
View File

@@ -28,15 +28,21 @@ def create_infer_tab(engine: "Engine") -> Dict[str, "Component"]:
input_elems.update({infer_backend})
elem_dict.update(dict(infer_backend=infer_backend, load_btn=load_btn, unload_btn=unload_btn, info_box=info_box))
chat_box, chatbot, messages, chat_elems = create_chat_box(engine, visible=False)
elem_dict.update(dict(chat_box=chat_box, **chat_elems))
chatbot, messages, chat_elems = create_chat_box(engine, visible=False)
elem_dict.update(chat_elems)
load_btn.click(engine.chatter.load_model, input_elems, [info_box]).then(
lambda: gr.Column(visible=engine.chatter.loaded), outputs=[chat_box]
lambda: gr.Column(visible=engine.chatter.loaded), outputs=[chat_elems["chat_box"]]
)
unload_btn.click(engine.chatter.unload_model, input_elems, [info_box]).then(
lambda: ([], []), outputs=[chatbot, messages]
).then(lambda: gr.Column(visible=engine.chatter.loaded), outputs=[chat_box])
).then(lambda: gr.Column(visible=engine.chatter.loaded), outputs=[chat_elems["chat_box"]])
engine.manager.get_elem_by_id("top.visual_inputs").change(
lambda enabled: gr.Column(visible=enabled),
[engine.manager.get_elem_by_id("top.visual_inputs")],
[chat_elems["image_box"]],
)
return elem_dict

16
src/llmtuner/webui/components/top.py
View File

@@ -3,7 +3,7 @@ from typing import TYPE_CHECKING, Dict
from ...data import templates
from ...extras.constants import METHODS, SUPPORTED_MODELS
from ...extras.packages import is_gradio_available
from ..common import get_model_path, get_template, list_adapters, save_config
from ..common import get_model_path, get_template, get_visual, list_adapters, save_config
from ..utils import can_quantize
@@ -30,14 +30,17 @@ def create_top() -> Dict[str, "Component"]:
with gr.Accordion(open=False) as advanced_tab:
with gr.Row():
quantization_bit = gr.Dropdown(choices=["none", "8", "4"], value="none")
template = gr.Dropdown(choices=list(templates.keys()), value="default")
rope_scaling = gr.Radio(choices=["none", "linear", "dynamic"], value="none")
booster = gr.Radio(choices=["none", "flashattn2", "unsloth"], value="none")
quantization_bit = gr.Dropdown(choices=["none", "8", "4"], value="none", scale=2)
template = gr.Dropdown(choices=list(templates.keys()), value="default", scale=2)
rope_scaling = gr.Radio(choices=["none", "linear", "dynamic"], value="none", scale=3)
booster = gr.Radio(choices=["none", "flashattn2", "unsloth"], value="none", scale=3)
visual_inputs = gr.Checkbox(scale=1)
model_name.change(list_adapters, [model_name, finetuning_type], [adapter_path], queue=False).then(
get_model_path, [model_name], [model_path], queue=False
).then(get_template, [model_name], [template], queue=False) # do not save config since the below line will save
).then(get_template, [model_name], [template], queue=False).then(
get_visual, [model_name], [visual_inputs], queue=False
) # do not save config since the below line will save
model_path.change(save_config, inputs=[lang, model_name, model_path], queue=False)
@@ -59,4 +62,5 @@ def create_top() -> Dict[str, "Component"]:
template=template,
rope_scaling=rope_scaling,
booster=booster,
visual_inputs=visual_inputs,
)