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# Copyright 2025 the LlamaFactory team. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
from typing import TYPE_CHECKING | |
from ...extras.packages import is_gradio_available | |
from ..common import is_multimodal | |
from .chatbot import create_chat_box | |
if is_gradio_available(): | |
import gradio as gr | |
if TYPE_CHECKING: | |
from gradio.components import Component | |
from ..engine import Engine | |
def create_infer_tab(engine: "Engine") -> dict[str, "Component"]: | |
input_elems = engine.manager.get_base_elems() | |
elem_dict = dict() | |
with gr.Row(): | |
infer_backend = gr.Dropdown(choices=["huggingface", "vllm", "sglang"], value="huggingface") | |
infer_dtype = gr.Dropdown(choices=["auto", "float16", "bfloat16", "float32"], value="auto") | |
with gr.Row(): | |
load_btn = gr.Button() | |
unload_btn = gr.Button() | |
info_box = gr.Textbox(show_label=False, interactive=False) | |
input_elems.update({infer_backend, infer_dtype}) | |
elem_dict.update( | |
dict( | |
infer_backend=infer_backend, | |
infer_dtype=infer_dtype, | |
load_btn=load_btn, | |
unload_btn=unload_btn, | |
info_box=info_box, | |
) | |
) | |
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_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_elems["chat_box"]]) | |
engine.manager.get_elem_by_id("top.model_name").change( | |
lambda model_name: gr.Column(visible=is_multimodal(model_name)), | |
[engine.manager.get_elem_by_id("top.model_name")], | |
[chat_elems["mm_box"]], | |
) | |
return elem_dict | |