62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
from typing import TYPE_CHECKING, Dict, Tuple
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import gradio as gr
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from ...data import Role
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from ..utils import check_json_schema
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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["gr.Column", "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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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=2)
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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(8, 4096, value=512, step=1)
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top_p = gr.Slider(0.01, 1.0, value=0.7, step=0.01)
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temperature = gr.Slider(0.01, 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.predict,
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[chatbot, role, query, messages, system, tools, max_new_tokens, top_p, temperature],
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[chatbot, messages],
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show_progress=True,
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).then(lambda: "", outputs=[query])
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clear_btn.click(lambda: ([], []), outputs=[chatbot, messages], show_progress=True)
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return (
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chat_box,
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chatbot,
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messages,
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dict(
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role=role,
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system=system,
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tools=tools,
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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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