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from typing import TYPE_CHECKING, Dict, Optional, Tuple
import gradio as gr
from ..utils import check_json_schema
if TYPE_CHECKING:
from gradio.blocks import Block
from gradio.components import Component
from ..engine import Engine
def create_chat_box(
engine: "Engine", visible: Optional[bool] = False
) -> Tuple["Block", "Component", "Component", Dict[str, "Component"]]:
with gr.Box(visible=visible) as chat_box:
chatbot = gr.Chatbot()
messages = gr.State([])
with gr.Row():
with gr.Column(scale=4):
system = gr.Textbox(show_label=False)
tools = gr.Textbox(show_label=False, lines=2)
query = gr.Textbox(show_label=False, lines=8)
submit_btn = gr.Button(variant="primary")
with gr.Column(scale=1):
clear_btn = gr.Button()
gen_kwargs = engine.chatter.generating_args
max_new_tokens = gr.Slider(10, 2048, value=gen_kwargs.max_new_tokens, step=1)
top_p = gr.Slider(0.01, 1, value=gen_kwargs.top_p, step=0.01)
temperature = gr.Slider(0.01, 1.5, value=gen_kwargs.temperature, step=0.01)
tools.input(check_json_schema, [tools, engine.manager.get_elem_by_name("top.lang")])
submit_btn.click(
engine.chatter.predict,
[chatbot, query, messages, system, tools, max_new_tokens, top_p, temperature],
[chatbot, messages],
show_progress=True,
).then(lambda: gr.update(value=""), outputs=[query])
clear_btn.click(lambda: ([], []), outputs=[chatbot, messages], show_progress=True)
return (
chat_box,
chatbot,
messages,
dict(
system=system,
tools=tools,
query=query,
submit_btn=submit_btn,
clear_btn=clear_btn,
max_new_tokens=max_new_tokens,
top_p=top_p,
temperature=temperature,
),
)
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