mirror of
https://github.com/hiyouga/LLaMA-Factory.git
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74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
# Copyright 2024 the LlamaFactory team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import TYPE_CHECKING, Dict
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from ...extras.packages import is_gradio_available
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from .chatbot import create_chat_box
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if is_gradio_available():
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import gradio as gr
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if TYPE_CHECKING:
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from gradio.components import Component
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from ..engine import Engine
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def create_infer_tab(engine: "Engine") -> Dict[str, "Component"]:
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input_elems = engine.manager.get_base_elems()
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elem_dict = dict()
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with gr.Row():
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infer_backend = gr.Dropdown(choices=["huggingface", "vllm"], value="huggingface")
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infer_dtype = gr.Dropdown(choices=["auto", "float16", "bfloat16", "float32"], value="auto")
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with gr.Row():
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load_btn = gr.Button()
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unload_btn = gr.Button()
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info_box = gr.Textbox(show_label=False, interactive=False)
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input_elems.update({infer_backend, infer_dtype})
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elem_dict.update(
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dict(
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infer_backend=infer_backend,
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infer_dtype=infer_dtype,
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load_btn=load_btn,
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unload_btn=unload_btn,
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info_box=info_box,
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)
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)
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chatbot, messages, chat_elems = create_chat_box(engine, visible=False)
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elem_dict.update(chat_elems)
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load_btn.click(engine.chatter.load_model, input_elems, [info_box]).then(
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lambda: gr.Column(visible=engine.chatter.loaded), outputs=[chat_elems["chat_box"]]
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)
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unload_btn.click(engine.chatter.unload_model, input_elems, [info_box]).then(
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lambda: ([], []), outputs=[chatbot, messages]
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).then(lambda: gr.Column(visible=engine.chatter.loaded), outputs=[chat_elems["chat_box"]])
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engine.manager.get_elem_by_id("top.visual_inputs").change(
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lambda enabled: gr.Column(visible=enabled),
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[engine.manager.get_elem_by_id("top.visual_inputs")],
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[chat_elems["image_box"]],
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)
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return elem_dict
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