mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-08-04 20:52:59 +08:00
89 lines
3.0 KiB
Python
89 lines
3.0 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, Tuple
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from ...data import Role
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from ...extras.packages import is_gradio_available
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from ..utils import check_json_schema
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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_chat_box(
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engine: "Engine", visible: bool = False
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) -> Tuple["Component", "Component", Dict[str, "Component"]]:
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with gr.Column(visible=visible) as chat_box:
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chatbot = gr.Chatbot(show_copy_button=True)
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messages = gr.State([])
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with gr.Row():
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with gr.Column(scale=4):
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with gr.Row():
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with gr.Column():
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role = gr.Dropdown(choices=[Role.USER.value, Role.OBSERVATION.value], value=Role.USER.value)
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system = gr.Textbox(show_label=False)
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tools = gr.Textbox(show_label=False, lines=3)
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with gr.Column() as image_box:
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image = gr.Image(sources=["upload"], type="numpy")
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query = gr.Textbox(show_label=False, lines=8)
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submit_btn = gr.Button(variant="primary")
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with gr.Column(scale=1):
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max_new_tokens = gr.Slider(minimum=8, maximum=4096, value=512, step=1)
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top_p = gr.Slider(minimum=0.01, maximum=1.0, value=0.7, step=0.01)
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temperature = gr.Slider(minimum=0.01, maximum=1.5, value=0.95, step=0.01)
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clear_btn = gr.Button()
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tools.input(check_json_schema, inputs=[tools, engine.manager.get_elem_by_id("top.lang")])
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submit_btn.click(
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engine.chatter.append,
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[chatbot, messages, role, query],
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[chatbot, messages, query],
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).then(
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engine.chatter.stream,
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[chatbot, messages, system, tools, image, max_new_tokens, top_p, temperature],
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[chatbot, messages],
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)
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clear_btn.click(lambda: ([], []), outputs=[chatbot, messages])
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return (
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chatbot,
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messages,
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dict(
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chat_box=chat_box,
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role=role,
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system=system,
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tools=tools,
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image_box=image_box,
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image=image,
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query=query,
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submit_btn=submit_btn,
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max_new_tokens=max_new_tokens,
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top_p=top_p,
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temperature=temperature,
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clear_btn=clear_btn,
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),
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)
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