Spaces:
Runtime error
Runtime error
File size: 2,353 Bytes
20076b6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
from typing import TYPE_CHECKING, Dict
import gradio as gr
from ...data import templates
from ...extras.constants import METHODS, SUPPORTED_MODELS
from ..common import get_model_path, get_template, list_adapters, save_config
from ..utils import can_quantize
if TYPE_CHECKING:
from gradio.components import Component
def create_top() -> Dict[str, "Component"]:
available_models = list(SUPPORTED_MODELS.keys()) + ["Custom"]
with gr.Row():
lang = gr.Dropdown(choices=["en", "ru", "zh"], scale=1)
model_name = gr.Dropdown(choices=available_models, scale=3)
model_path = gr.Textbox(scale=3)
with gr.Row():
finetuning_type = gr.Dropdown(choices=METHODS, value="lora", scale=1)
adapter_path = gr.Dropdown(multiselect=True, scale=5, allow_custom_value=True)
refresh_btn = gr.Button(scale=1)
with gr.Accordion(label="Advanced config", 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", "flash_attn", "unsloth"], value="none")
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
model_path.change(save_config, inputs=[lang, model_name, model_path], queue=False)
finetuning_type.change(list_adapters, [model_name, finetuning_type], [adapter_path], queue=False).then(
can_quantize, [finetuning_type], [quantization_bit], queue=False
)
refresh_btn.click(list_adapters, [model_name, finetuning_type], [adapter_path], queue=False)
return dict(
lang=lang,
model_name=model_name,
model_path=model_path,
finetuning_type=finetuning_type,
adapter_path=adapter_path,
refresh_btn=refresh_btn,
advanced_tab=advanced_tab,
quantization_bit=quantization_bit,
template=template,
rope_scaling=rope_scaling,
booster=booster,
)
|