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# Copyright 2024 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, Dict, Tuple
from ...data import Role
from ...extras.packages import is_gradio_available
from ..utils import check_json_schema
if is_gradio_available():
import gradio as gr
if TYPE_CHECKING:
from gradio.components import Component
from ..engine import Engine
def create_chat_box(
engine: "Engine", visible: bool = False
) -> Tuple["Component", "Component", Dict[str, "Component"]]:
with gr.Column(visible=visible) as chat_box:
chatbot = gr.Chatbot(show_copy_button=True)
messages = gr.State([])
with gr.Row():
with gr.Column(scale=4):
with gr.Row():
with gr.Column():
role = gr.Dropdown(choices=[Role.USER.value, Role.OBSERVATION.value], value=Role.USER.value)
system = gr.Textbox(show_label=False)
tools = gr.Textbox(show_label=False, lines=3)
with gr.Column() as image_box:
image = gr.Image(sources=["upload"], type="numpy")
query = gr.Textbox(show_label=False, lines=8)
submit_btn = gr.Button(variant="primary")
with gr.Column(scale=1):
max_new_tokens = gr.Slider(minimum=8, maximum=4096, value=512, step=1)
top_p = gr.Slider(minimum=0.01, maximum=1.0, value=0.7, step=0.01)
temperature = gr.Slider(minimum=0.01, maximum=1.5, value=0.95, step=0.01)
clear_btn = gr.Button()
tools.input(check_json_schema, inputs=[tools, engine.manager.get_elem_by_id("top.lang")])
submit_btn.click(
engine.chatter.append,
[chatbot, messages, role, query],
[chatbot, messages, query],
).then(
engine.chatter.stream,
[chatbot, messages, system, tools, image, max_new_tokens, top_p, temperature],
[chatbot, messages],
)
clear_btn.click(lambda: ([], []), outputs=[chatbot, messages])
return (
chatbot,
messages,
dict(
chat_box=chat_box,
role=role,
system=system,
tools=tools,
image_box=image_box,
image=image,
query=query,
submit_btn=submit_btn,
max_new_tokens=max_new_tokens,
top_p=top_p,
temperature=temperature,
clear_btn=clear_btn,
),
)
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