# Copyright 2025 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. import json from typing import TYPE_CHECKING from ...data import Role from ...extras.packages import is_gradio_available from ..locales import ALERTS if is_gradio_available(): import gradio as gr if TYPE_CHECKING: from gradio.components import Component from ..engine import Engine def check_json_schema(text: str, lang: str) -> None: r"""Check if the json schema is valid.""" try: tools = json.loads(text) if tools: assert isinstance(tools, list) for tool in tools: if "name" not in tool: raise NotImplementedError("Name not found.") except NotImplementedError: gr.Warning(ALERTS["err_tool_name"][lang]) except Exception: gr.Warning(ALERTS["err_json_schema"][lang]) def create_chat_box( engine: "Engine", visible: bool = False ) -> tuple["Component", "Component", dict[str, "Component"]]: lang = engine.manager.get_elem_by_id("top.lang") with gr.Column(visible=visible) as chat_box: chatbot = gr.Chatbot(type="messages", 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 mm_box: with gr.Tab("Image"): image = gr.Image(type="pil") with gr.Tab("Video"): video = gr.Video() with gr.Tab("Audio"): audio = gr.Audio(type="filepath") 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=8192, value=1024, 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) skip_special_tokens = gr.Checkbox(value=True) escape_html = gr.Checkbox(value=True) enable_thinking = gr.Checkbox(value=True) 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, escape_html], [chatbot, messages, query], ).then( engine.chatter.stream, [ chatbot, messages, lang, system, tools, image, video, audio, max_new_tokens, top_p, temperature, skip_special_tokens, escape_html, enable_thinking, ], [chatbot, messages], ) clear_btn.click(lambda: ([], []), outputs=[chatbot, messages]) return ( chatbot, messages, dict( chat_box=chat_box, role=role, system=system, tools=tools, mm_box=mm_box, image=image, video=video, audio=audio, query=query, submit_btn=submit_btn, max_new_tokens=max_new_tokens, top_p=top_p, temperature=temperature, skip_special_tokens=skip_special_tokens, escape_html=escape_html, enable_thinking=enable_thinking, clear_btn=clear_btn, ), )