Files
MaiBot/webui.py
T
春河晴andClaude fdc098d0db 优化代码格式和异常处理
- 修复异常处理链,使用from语法保留原始异常
- 格式化代码以符合项目规范
- 优化导入模块的顺序

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-03-19 20:27:34 +09:00

1718 lines
80 KiB
Python

import gradio as gr
import os
import toml
import requests
from src.common.logger import get_module_logger
import shutil
import ast
from packaging import version
from decimal import Decimal
logger = get_module_logger("webui")
is_share = False
debug = True
# 检查配置文件是否存在
if not os.path.exists("config/bot_config.toml"):
logger.error("配置文件 bot_config.toml 不存在,请检查配置文件路径")
raise FileNotFoundError("配置文件 bot_config.toml 不存在,请检查配置文件路径")
if not os.path.exists(".env.prod"):
logger.error("环境配置文件 .env.prod 不存在,请检查配置文件路径")
raise FileNotFoundError("环境配置文件 .env.prod 不存在,请检查配置文件路径")
config_data = toml.load("config/bot_config.toml")
CONFIG_VERSION = config_data["inner"]["version"]
PARSED_CONFIG_VERSION = version.parse(CONFIG_VERSION)
HAVE_ONLINE_STATUS_VERSION = version.parse("0.0.9")
# 添加WebUI配置文件版本
WEBUI_VERSION = version.parse("0.0.8")
# ==============================================
# env环境配置文件读取部分
def parse_env_config(config_file):
"""
解析配置文件并将配置项存储到相应的变量中(变量名以env_为前缀)。
"""
env_variables = {}
# 读取配置文件
with open(config_file, "r", encoding="utf-8") as f:
lines = f.readlines()
# 逐行处理配置
for line in lines:
line = line.strip()
# 忽略空行和注释
if not line or line.startswith("#"):
continue
# 拆分键值对
key, value = line.split("=", 1)
# 去掉空格并去除两端引号(如果有的话)
key = key.strip()
value = value.strip().strip('"').strip("'")
# 将配置项存入以env_为前缀的变量
env_variable = f"env_{key}"
env_variables[env_variable] = value
# 动态创建环境变量
os.environ[env_variable] = value
return env_variables
# env环境配置文件保存函数
def save_to_env_file(env_variables, filename=".env.prod"):
"""
将修改后的变量保存到指定的.env文件中,并在第一次保存前备份文件(如果备份文件不存在)。
"""
backup_filename = f"{filename}.bak"
# 如果备份文件不存在,则备份原文件
if not os.path.exists(backup_filename):
if os.path.exists(filename):
logger.info(f"{filename} 已存在,正在备份到 {backup_filename}...")
shutil.copy(filename, backup_filename) # 备份文件
logger.success(f"文件已备份到 {backup_filename}")
else:
logger.warning(f"{filename} 不存在,无法进行备份。")
# 保存新配置
with open(filename, "w", encoding="utf-8") as f:
for var, value in env_variables.items():
f.write(f"{var[4:]}={value}\n") # 移除env_前缀
logger.info(f"配置已保存到 {filename}")
# 载入env文件并解析
env_config_file = ".env.prod" # 配置文件路径
env_config_data = parse_env_config(env_config_file)
if "env_VOLCENGINE_BASE_URL" in env_config_data:
logger.info("VOLCENGINE_BASE_URL 已存在,使用默认值")
env_config_data["env_VOLCENGINE_BASE_URL"] = "https://ark.cn-beijing.volces.com/api/v3"
else:
logger.info("VOLCENGINE_BASE_URL 不存在,已创建并使用默认值")
env_config_data["env_VOLCENGINE_BASE_URL"] = "https://ark.cn-beijing.volces.com/api/v3"
if "env_VOLCENGINE_KEY" in env_config_data:
logger.info("VOLCENGINE_KEY 已存在,保持不变")
else:
logger.info("VOLCENGINE_KEY 不存在,已创建并使用默认值")
env_config_data["env_VOLCENGINE_KEY"] = "volc_key"
save_to_env_file(env_config_data, env_config_file)
def parse_model_providers(env_vars):
"""
从环境变量中解析模型提供商列表
参数:
env_vars: 包含环境变量的字典
返回:
list: 模型提供商列表
"""
providers = []
for key in env_vars.keys():
if key.startswith("env_") and key.endswith("_BASE_URL"):
# 提取中间部分作为提供商名称
provider = key[4:-9] # 移除"env_"前缀和"_BASE_URL"后缀
providers.append(provider)
return providers
def add_new_provider(provider_name, current_providers):
"""
添加新的提供商到列表中
参数:
provider_name: 新的提供商名称
current_providers: 当前的提供商列表
返回:
tuple: (更新后的提供商列表, 更新后的下拉列表选项)
"""
if not provider_name or provider_name in current_providers:
return current_providers, gr.update(choices=current_providers)
# 添加新的提供商到环境变量中
env_config_data[f"env_{provider_name}_BASE_URL"] = ""
env_config_data[f"env_{provider_name}_KEY"] = ""
# 更新提供商列表
updated_providers = current_providers + [provider_name]
# 保存到环境文件
save_to_env_file(env_config_data)
return updated_providers, gr.update(choices=updated_providers)
# 从环境变量中解析并更新提供商列表
MODEL_PROVIDER_LIST = parse_model_providers(env_config_data)
# env读取保存结束
# ==============================================
# 获取在线麦麦数量
def get_online_maimbot(url="http://hyybuth.xyz:10058/api/clients/details", timeout=10):
"""
获取在线客户端详细信息。
参数:
url (str): API 请求地址,默认值为 "http://hyybuth.xyz:10058/api/clients/details"。
timeout (int): 请求超时时间,默认值为 10 秒。
返回:
dict: 解析后的 JSON 数据。
异常:
如果请求失败或数据格式不正确,将返回 None 并记录错误信息。
"""
try:
response = requests.get(url, timeout=timeout)
# 检查 HTTP 响应状态码是否为 200
if response.status_code == 200:
# 尝试解析 JSON 数据
return response.json()
else:
logger.error(f"请求失败,状态码: {response.status_code}")
return None
except requests.exceptions.Timeout:
logger.error("请求超时,请检查网络连接或增加超时时间。")
return None
except requests.exceptions.ConnectionError:
logger.error("连接错误,请检查网络或API地址是否正确。")
return None
except ValueError: # 包括 json.JSONDecodeError
logger.error("无法解析返回的JSON数据,请检查API返回内容。")
return None
online_maimbot_data = get_online_maimbot()
# ==============================================
# env环境文件中插件修改更新函数
def add_item(new_item, current_list):
updated_list = current_list.copy()
if new_item.strip():
updated_list.append(new_item.strip())
return [
updated_list, # 更新State
"\n".join(updated_list), # 更新TextArea
gr.update(choices=updated_list), # 更新Dropdown
", ".join(updated_list), # 更新最终结果
]
def delete_item(selected_item, current_list):
updated_list = current_list.copy()
if selected_item in updated_list:
updated_list.remove(selected_item)
return [updated_list, "\n".join(updated_list), gr.update(choices=updated_list), ", ".join(updated_list)]
def add_int_item(new_item, current_list):
updated_list = current_list.copy()
stripped_item = new_item.strip()
if stripped_item:
try:
item = int(stripped_item)
updated_list.append(item)
except ValueError:
pass
return [
updated_list, # 更新State
"\n".join(map(str, updated_list)), # 更新TextArea
gr.update(choices=updated_list), # 更新Dropdown
", ".join(map(str, updated_list)), # 更新最终结果
]
def delete_int_item(selected_item, current_list):
updated_list = current_list.copy()
if selected_item in updated_list:
updated_list.remove(selected_item)
return [
updated_list,
"\n".join(map(str, updated_list)),
gr.update(choices=updated_list),
", ".join(map(str, updated_list)),
]
# env文件中插件值处理函数
def parse_list_str(input_str):
"""
将形如["src2.plugins.chat"]的字符串解析为Python列表
parse_list_str('["src2.plugins.chat"]')
['src2.plugins.chat']
parse_list_str("['plugin1', 'plugin2']")
['plugin1', 'plugin2']
"""
try:
return ast.literal_eval(input_str.strip())
except (ValueError, SyntaxError):
# 处理不符合Python列表格式的字符串
cleaned = input_str.strip(" []") # 去除方括号
return [item.strip(" '\"") for item in cleaned.split(",") if item.strip()]
def format_list_to_str(lst):
"""
将Python列表转换为形如["src2.plugins.chat"]的字符串格式
format_list_to_str(['src2.plugins.chat'])
'["src2.plugins.chat"]'
format_list_to_str([1, "two", 3.0])
'[1, "two", 3.0]'
"""
resarr = lst.split(", ")
res = ""
for items in resarr:
temp = '"' + str(items) + '"'
res += temp + ","
res = res[:-1]
return "[" + res + "]"
# env保存函数
def save_trigger(
server_address,
server_port,
final_result_list,
t_mongodb_host,
t_mongodb_port,
t_mongodb_database_name,
t_console_log_level,
t_file_log_level,
t_default_console_log_level,
t_default_file_log_level,
t_api_provider,
t_api_base_url,
t_api_key,
):
final_result_lists = format_list_to_str(final_result_list)
env_config_data["env_HOST"] = server_address
env_config_data["env_PORT"] = server_port
env_config_data["env_PLUGINS"] = final_result_lists
env_config_data["env_MONGODB_HOST"] = t_mongodb_host
env_config_data["env_MONGODB_PORT"] = t_mongodb_port
env_config_data["env_DATABASE_NAME"] = t_mongodb_database_name
# 保存日志配置
env_config_data["env_CONSOLE_LOG_LEVEL"] = t_console_log_level
env_config_data["env_FILE_LOG_LEVEL"] = t_file_log_level
env_config_data["env_DEFAULT_CONSOLE_LOG_LEVEL"] = t_default_console_log_level
env_config_data["env_DEFAULT_FILE_LOG_LEVEL"] = t_default_file_log_level
# 保存选中的API提供商的配置
env_config_data[f"env_{t_api_provider}_BASE_URL"] = t_api_base_url
env_config_data[f"env_{t_api_provider}_KEY"] = t_api_key
save_to_env_file(env_config_data)
logger.success("配置已保存到 .env.prod 文件中")
return "配置已保存"
def update_api_inputs(provider):
"""
根据选择的提供商更新Base URL和API Key输入框的值
"""
base_url = env_config_data.get(f"env_{provider}_BASE_URL", "")
api_key = env_config_data.get(f"env_{provider}_KEY", "")
return base_url, api_key
# 绑定下拉列表的change事件
# ==============================================
# ==============================================
# 主要配置文件保存函数
def save_config_to_file(t_config_data):
filename = "config/bot_config.toml"
backup_filename = f"{filename}.bak"
if not os.path.exists(backup_filename):
if os.path.exists(filename):
logger.info(f"{filename} 已存在,正在备份到 {backup_filename}...")
shutil.copy(filename, backup_filename) # 备份文件
logger.success(f"文件已备份到 {backup_filename}")
else:
logger.warning(f"{filename} 不存在,无法进行备份。")
with open(filename, "w", encoding="utf-8") as f:
toml.dump(t_config_data, f)
logger.success("配置已保存到 bot_config.toml 文件中")
def save_bot_config(t_qqbot_qq, t_nickname, t_nickname_final_result):
config_data["bot"]["qq"] = int(t_qqbot_qq)
config_data["bot"]["nickname"] = t_nickname
config_data["bot"]["alias_names"] = t_nickname_final_result
save_config_to_file(config_data)
logger.info("Bot配置已保存")
return "Bot配置已保存"
# 监听滑块的值变化,确保总和不超过 1,并显示警告
def adjust_personality_greater_probabilities(
t_personality_1_probability, t_personality_2_probability, t_personality_3_probability
):
total = (
Decimal(str(t_personality_1_probability))
+ Decimal(str(t_personality_2_probability))
+ Decimal(str(t_personality_3_probability))
)
if total > Decimal("1.0"):
warning_message = (
f"警告: 人格1、人格2和人格3的概率总和为 {float(total):.2f},超过了 1.0!请调整滑块使总和等于 1.0。"
)
return warning_message
return "" # 没有警告时返回空字符串
def adjust_personality_less_probabilities(
t_personality_1_probability, t_personality_2_probability, t_personality_3_probability
):
total = (
Decimal(str(t_personality_1_probability))
+ Decimal(str(t_personality_2_probability))
+ Decimal(str(t_personality_3_probability))
)
if total < Decimal("1.0"):
warning_message = (
f"警告: 人格1、人格2和人格3的概率总和为 {float(total):.2f},小于 1.0!请调整滑块使总和等于 1.0。"
)
return warning_message
return "" # 没有警告时返回空字符串
def adjust_model_greater_probabilities(t_model_1_probability, t_model_2_probability, t_model_3_probability):
total = (
Decimal(str(t_model_1_probability)) + Decimal(str(t_model_2_probability)) + Decimal(str(t_model_3_probability))
)
if total > Decimal("1.0"):
warning_message = (
f"警告: 选择模型1、模型2和模型3的概率总和为 {float(total):.2f},超过了 1.0!请调整滑块使总和等于 1.0。"
)
return warning_message
return "" # 没有警告时返回空字符串
def adjust_model_less_probabilities(t_model_1_probability, t_model_2_probability, t_model_3_probability):
total = (
Decimal(str(t_model_1_probability)) + Decimal(str(t_model_2_probability)) + Decimal(str(t_model_3_probability))
)
if total < Decimal("1.0"):
warning_message = (
f"警告: 选择模型1、模型2和模型3的概率总和为 {float(total):.2f},小于了 1.0!请调整滑块使总和等于 1.0。"
)
return warning_message
return "" # 没有警告时返回空字符串
# ==============================================
# 人格保存函数
def save_personality_config(
t_prompt_personality_1,
t_prompt_personality_2,
t_prompt_personality_3,
t_prompt_schedule,
t_personality_1_probability,
t_personality_2_probability,
t_personality_3_probability,
):
# 保存人格提示词
config_data["personality"]["prompt_personality"][0] = t_prompt_personality_1
config_data["personality"]["prompt_personality"][1] = t_prompt_personality_2
config_data["personality"]["prompt_personality"][2] = t_prompt_personality_3
# 保存日程生成提示词
config_data["personality"]["prompt_schedule"] = t_prompt_schedule
# 保存三个人格的概率
config_data["personality"]["personality_1_probability"] = t_personality_1_probability
config_data["personality"]["personality_2_probability"] = t_personality_2_probability
config_data["personality"]["personality_3_probability"] = t_personality_3_probability
save_config_to_file(config_data)
logger.info("人格配置已保存到 bot_config.toml 文件中")
return "人格配置已保存"
def save_message_and_emoji_config(
t_min_text_length,
t_max_context_size,
t_emoji_chance,
t_thinking_timeout,
t_response_willing_amplifier,
t_response_interested_rate_amplifier,
t_down_frequency_rate,
t_ban_words_final_result,
t_ban_msgs_regex_final_result,
t_check_interval,
t_register_interval,
t_auto_save,
t_enable_check,
t_check_prompt,
):
config_data["message"]["min_text_length"] = t_min_text_length
config_data["message"]["max_context_size"] = t_max_context_size
config_data["message"]["emoji_chance"] = t_emoji_chance
config_data["message"]["thinking_timeout"] = t_thinking_timeout
config_data["message"]["response_willing_amplifier"] = t_response_willing_amplifier
config_data["message"]["response_interested_rate_amplifier"] = t_response_interested_rate_amplifier
config_data["message"]["down_frequency_rate"] = t_down_frequency_rate
config_data["message"]["ban_words"] = t_ban_words_final_result
config_data["message"]["ban_msgs_regex"] = t_ban_msgs_regex_final_result
config_data["emoji"]["check_interval"] = t_check_interval
config_data["emoji"]["register_interval"] = t_register_interval
config_data["emoji"]["auto_save"] = t_auto_save
config_data["emoji"]["enable_check"] = t_enable_check
config_data["emoji"]["check_prompt"] = t_check_prompt
save_config_to_file(config_data)
logger.info("消息和表情配置已保存到 bot_config.toml 文件中")
return "消息和表情配置已保存"
def save_response_model_config(
t_model_r1_probability,
t_model_r2_probability,
t_model_r3_probability,
t_max_response_length,
t_model1_name,
t_model1_provider,
t_model1_pri_in,
t_model1_pri_out,
t_model2_name,
t_model2_provider,
t_model3_name,
t_model3_provider,
t_emotion_model_name,
t_emotion_model_provider,
t_topic_judge_model_name,
t_topic_judge_model_provider,
t_summary_by_topic_model_name,
t_summary_by_topic_model_provider,
t_vlm_model_name,
t_vlm_model_provider,
):
config_data["response"]["model_r1_probability"] = t_model_r1_probability
config_data["response"]["model_v3_probability"] = t_model_r2_probability
config_data["response"]["model_r1_distill_probability"] = t_model_r3_probability
config_data["response"]["max_response_length"] = t_max_response_length
config_data["model"]["llm_reasoning"]["name"] = t_model1_name
config_data["model"]["llm_reasoning"]["provider"] = t_model1_provider
config_data["model"]["llm_reasoning"]["pri_in"] = t_model1_pri_in
config_data["model"]["llm_reasoning"]["pri_out"] = t_model1_pri_out
config_data["model"]["llm_normal"]["name"] = t_model2_name
config_data["model"]["llm_normal"]["provider"] = t_model2_provider
config_data["model"]["llm_reasoning_minor"]["name"] = t_model3_name
config_data["model"]["llm_normal"]["provider"] = t_model3_provider
config_data["model"]["llm_emotion_judge"]["name"] = t_emotion_model_name
config_data["model"]["llm_emotion_judge"]["provider"] = t_emotion_model_provider
config_data["model"]["llm_topic_judge"]["name"] = t_topic_judge_model_name
config_data["model"]["llm_topic_judge"]["provider"] = t_topic_judge_model_provider
config_data["model"]["llm_summary_by_topic"]["name"] = t_summary_by_topic_model_name
config_data["model"]["llm_summary_by_topic"]["provider"] = t_summary_by_topic_model_provider
config_data["model"]["vlm"]["name"] = t_vlm_model_name
config_data["model"]["vlm"]["provider"] = t_vlm_model_provider
save_config_to_file(config_data)
logger.info("回复&模型设置已保存到 bot_config.toml 文件中")
return "回复&模型设置已保存"
def save_memory_mood_config(
t_build_memory_interval,
t_memory_compress_rate,
t_forget_memory_interval,
t_memory_forget_time,
t_memory_forget_percentage,
t_memory_ban_words_final_result,
t_mood_update_interval,
t_mood_decay_rate,
t_mood_intensity_factor,
):
config_data["memory"]["build_memory_interval"] = t_build_memory_interval
config_data["memory"]["memory_compress_rate"] = t_memory_compress_rate
config_data["memory"]["forget_memory_interval"] = t_forget_memory_interval
config_data["memory"]["memory_forget_time"] = t_memory_forget_time
config_data["memory"]["memory_forget_percentage"] = t_memory_forget_percentage
config_data["memory"]["memory_ban_words"] = t_memory_ban_words_final_result
config_data["mood"]["update_interval"] = t_mood_update_interval
config_data["mood"]["decay_rate"] = t_mood_decay_rate
config_data["mood"]["intensity_factor"] = t_mood_intensity_factor
save_config_to_file(config_data)
logger.info("记忆和心情设置已保存到 bot_config.toml 文件中")
return "记忆和心情设置已保存"
def save_other_config(
t_keywords_reaction_enabled,
t_enable_advance_output,
t_enable_kuuki_read,
t_enable_debug_output,
t_enable_friend_chat,
t_chinese_typo_enabled,
t_error_rate,
t_min_freq,
t_tone_error_rate,
t_word_replace_rate,
t_remote_status,
):
config_data["keywords_reaction"]["enable"] = t_keywords_reaction_enabled
config_data["others"]["enable_advance_output"] = t_enable_advance_output
config_data["others"]["enable_kuuki_read"] = t_enable_kuuki_read
config_data["others"]["enable_debug_output"] = t_enable_debug_output
config_data["others"]["enable_friend_chat"] = t_enable_friend_chat
config_data["chinese_typo"]["enable"] = t_chinese_typo_enabled
config_data["chinese_typo"]["error_rate"] = t_error_rate
config_data["chinese_typo"]["min_freq"] = t_min_freq
config_data["chinese_typo"]["tone_error_rate"] = t_tone_error_rate
config_data["chinese_typo"]["word_replace_rate"] = t_word_replace_rate
if PARSED_CONFIG_VERSION > HAVE_ONLINE_STATUS_VERSION:
config_data["remote"]["enable"] = t_remote_status
save_config_to_file(config_data)
logger.info("其他设置已保存到 bot_config.toml 文件中")
return "其他设置已保存"
def save_group_config(
t_talk_allowed_final_result,
t_talk_frequency_down_final_result,
t_ban_user_id_final_result,
):
config_data["groups"]["talk_allowed"] = t_talk_allowed_final_result
config_data["groups"]["talk_frequency_down"] = t_talk_frequency_down_final_result
config_data["groups"]["ban_user_id"] = t_ban_user_id_final_result
save_config_to_file(config_data)
logger.info("群聊设置已保存到 bot_config.toml 文件中")
return "群聊设置已保存"
with gr.Blocks(title="MaimBot配置文件编辑") as app:
gr.Markdown(
value="""
### 欢迎使用由墨梓柒MotricSeven编写的MaimBot配置文件编辑器\n
感谢ZureTz大佬提供的人格保存部分修复!
"""
)
gr.Markdown(value="## 全球在线MaiMBot数量: " + str((online_maimbot_data or {}).get("online_clients", 0)))
gr.Markdown(value="## 当前WebUI版本: " + str(WEBUI_VERSION))
gr.Markdown(value="### 配置文件版本:" + config_data["inner"]["version"])
with gr.Tabs():
with gr.TabItem("0-环境设置"):
with gr.Row():
with gr.Column(scale=3):
with gr.Row():
gr.Markdown(
value="""
MaimBot服务器地址,默认127.0.0.1\n
不熟悉配置的不要轻易改动此项!!\n
"""
)
with gr.Row():
server_address = gr.Textbox(
label="服务器地址", value=env_config_data["env_HOST"], interactive=True
)
with gr.Row():
server_port = gr.Textbox(
label="服务器端口", value=env_config_data["env_PORT"], interactive=True
)
with gr.Row():
plugin_list = parse_list_str(env_config_data["env_PLUGINS"])
with gr.Blocks():
list_state = gr.State(value=plugin_list.copy())
with gr.Row():
list_display = gr.TextArea(
value="\n".join(plugin_list), label="插件列表", interactive=False, lines=5
)
with gr.Row():
with gr.Column(scale=3):
new_item_input = gr.Textbox(label="添加新插件")
add_btn = gr.Button("添加", scale=1)
with gr.Row():
with gr.Column(scale=3):
item_to_delete = gr.Dropdown(choices=plugin_list, label="选择要删除的插件")
delete_btn = gr.Button("删除", scale=1)
final_result = gr.Text(label="修改后的列表")
add_btn.click(
add_item,
inputs=[new_item_input, list_state],
outputs=[list_state, list_display, item_to_delete, final_result],
)
delete_btn.click(
delete_item,
inputs=[item_to_delete, list_state],
outputs=[list_state, list_display, item_to_delete, final_result],
)
with gr.Row():
gr.Markdown(
"""MongoDB设置项\n
保持默认即可,如果你有能力承担修改过后的后果(简称能改回来(笑))\n
可以对以下配置项进行修改\n
"""
)
with gr.Row():
mongodb_host = gr.Textbox(
label="MongoDB服务器地址", value=env_config_data["env_MONGODB_HOST"], interactive=True
)
with gr.Row():
mongodb_port = gr.Textbox(
label="MongoDB服务器端口", value=env_config_data["env_MONGODB_PORT"], interactive=True
)
with gr.Row():
mongodb_database_name = gr.Textbox(
label="MongoDB数据库名称", value=env_config_data["env_DATABASE_NAME"], interactive=True
)
with gr.Row():
gr.Markdown(
"""日志设置\n
配置日志输出级别\n
改完了记得保存!!!
"""
)
with gr.Row():
console_log_level = gr.Dropdown(
choices=["INFO", "DEBUG", "WARNING", "ERROR", "SUCCESS"],
label="控制台日志级别",
value=env_config_data.get("env_CONSOLE_LOG_LEVEL", "INFO"),
interactive=True,
)
with gr.Row():
file_log_level = gr.Dropdown(
choices=["INFO", "DEBUG", "WARNING", "ERROR", "SUCCESS"],
label="文件日志级别",
value=env_config_data.get("env_FILE_LOG_LEVEL", "DEBUG"),
interactive=True,
)
with gr.Row():
default_console_log_level = gr.Dropdown(
choices=["INFO", "DEBUG", "WARNING", "ERROR", "SUCCESS", "NONE"],
label="默认控制台日志级别",
value=env_config_data.get("env_DEFAULT_CONSOLE_LOG_LEVEL", "SUCCESS"),
interactive=True,
)
with gr.Row():
default_file_log_level = gr.Dropdown(
choices=["INFO", "DEBUG", "WARNING", "ERROR", "SUCCESS", "NONE"],
label="默认文件日志级别",
value=env_config_data.get("env_DEFAULT_FILE_LOG_LEVEL", "DEBUG"),
interactive=True,
)
with gr.Row():
gr.Markdown(
"""API设置\n
选择API提供商并配置相应的BaseURL和Key\n
改完了记得保存!!!
"""
)
with gr.Row():
with gr.Column(scale=3):
new_provider_input = gr.Textbox(label="添加新提供商", placeholder="输入新提供商名称")
add_provider_btn = gr.Button("添加提供商", scale=1)
with gr.Row():
api_provider = gr.Dropdown(
choices=MODEL_PROVIDER_LIST,
label="选择API提供商",
value=MODEL_PROVIDER_LIST[0] if MODEL_PROVIDER_LIST else None,
)
with gr.Row():
api_base_url = gr.Textbox(
label="Base URL",
value=env_config_data.get(f"env_{MODEL_PROVIDER_LIST[0]}_BASE_URL", "")
if MODEL_PROVIDER_LIST
else "",
interactive=True,
)
with gr.Row():
api_key = gr.Textbox(
label="API Key",
value=env_config_data.get(f"env_{MODEL_PROVIDER_LIST[0]}_KEY", "")
if MODEL_PROVIDER_LIST
else "",
interactive=True,
)
api_provider.change(update_api_inputs, inputs=[api_provider], outputs=[api_base_url, api_key])
with gr.Row():
save_env_btn = gr.Button("保存环境配置", variant="primary")
with gr.Row():
save_env_btn.click(
save_trigger,
inputs=[
server_address,
server_port,
final_result,
mongodb_host,
mongodb_port,
mongodb_database_name,
console_log_level,
file_log_level,
default_console_log_level,
default_file_log_level,
api_provider,
api_base_url,
api_key,
],
outputs=[gr.Textbox(label="保存结果", interactive=False)],
)
# 绑定添加提供商按钮的点击事件
add_provider_btn.click(
add_new_provider,
inputs=[new_provider_input, gr.State(value=MODEL_PROVIDER_LIST)],
outputs=[gr.State(value=MODEL_PROVIDER_LIST), api_provider],
).then(
lambda x: (
env_config_data.get(f"env_{x}_BASE_URL", ""),
env_config_data.get(f"env_{x}_KEY", ""),
),
inputs=[api_provider],
outputs=[api_base_url, api_key],
)
with gr.TabItem("1-Bot基础设置"):
with gr.Row():
with gr.Column(scale=3):
with gr.Row():
qqbot_qq = gr.Textbox(label="QQ机器人QQ号", value=config_data["bot"]["qq"], interactive=True)
with gr.Row():
nickname = gr.Textbox(label="昵称", value=config_data["bot"]["nickname"], interactive=True)
with gr.Row():
nickname_list = config_data["bot"]["alias_names"]
with gr.Blocks():
nickname_list_state = gr.State(value=nickname_list.copy())
with gr.Row():
nickname_list_display = gr.TextArea(
value="\n".join(nickname_list), label="别名列表", interactive=False, lines=5
)
with gr.Row():
with gr.Column(scale=3):
nickname_new_item_input = gr.Textbox(label="添加新别名")
nickname_add_btn = gr.Button("添加", scale=1)
with gr.Row():
with gr.Column(scale=3):
nickname_item_to_delete = gr.Dropdown(choices=nickname_list, label="选择要删除的别名")
nickname_delete_btn = gr.Button("删除", scale=1)
nickname_final_result = gr.Text(label="修改后的列表")
nickname_add_btn.click(
add_item,
inputs=[nickname_new_item_input, nickname_list_state],
outputs=[
nickname_list_state,
nickname_list_display,
nickname_item_to_delete,
nickname_final_result,
],
)
nickname_delete_btn.click(
delete_item,
inputs=[nickname_item_to_delete, nickname_list_state],
outputs=[
nickname_list_state,
nickname_list_display,
nickname_item_to_delete,
nickname_final_result,
],
)
gr.Button(
"保存Bot配置", variant="primary", elem_id="save_bot_btn", elem_classes="save_bot_btn"
).click(
save_bot_config,
inputs=[qqbot_qq, nickname, nickname_list_state],
outputs=[gr.Textbox(label="保存Bot结果")],
)
with gr.TabItem("2-人格设置"):
with gr.Row():
with gr.Column(scale=3):
with gr.Row():
prompt_personality_1 = gr.Textbox(
label="人格1提示词",
value=config_data["personality"]["prompt_personality"][0],
interactive=True,
)
with gr.Row():
prompt_personality_2 = gr.Textbox(
label="人格2提示词",
value=config_data["personality"]["prompt_personality"][1],
interactive=True,
)
with gr.Row():
prompt_personality_3 = gr.Textbox(
label="人格3提示词",
value=config_data["personality"]["prompt_personality"][2],
interactive=True,
)
with gr.Column(scale=3):
# 创建三个滑块, 代表三个人格的概率
personality_1_probability = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["personality"]["personality_1_probability"],
label="人格1概率",
)
personality_2_probability = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["personality"]["personality_2_probability"],
label="人格2概率",
)
personality_3_probability = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["personality"]["personality_3_probability"],
label="人格3概率",
)
# 用于显示警告消息
warning_greater_text = gr.Markdown()
warning_less_text = gr.Markdown()
# 绑定滑块的值变化事件,确保总和必须等于 1.0
# 输入的 3 个概率
personality_probability_change_inputs = [
personality_1_probability,
personality_2_probability,
personality_3_probability,
]
# 绑定滑块的值变化事件,确保总和不大于 1.0
personality_1_probability.change(
adjust_personality_greater_probabilities,
inputs=personality_probability_change_inputs,
outputs=[warning_greater_text],
)
personality_2_probability.change(
adjust_personality_greater_probabilities,
inputs=personality_probability_change_inputs,
outputs=[warning_greater_text],
)
personality_3_probability.change(
adjust_personality_greater_probabilities,
inputs=personality_probability_change_inputs,
outputs=[warning_greater_text],
)
# 绑定滑块的值变化事件,确保总和不小于 1.0
personality_1_probability.change(
adjust_personality_less_probabilities,
inputs=personality_probability_change_inputs,
outputs=[warning_less_text],
)
personality_2_probability.change(
adjust_personality_less_probabilities,
inputs=personality_probability_change_inputs,
outputs=[warning_less_text],
)
personality_3_probability.change(
adjust_personality_less_probabilities,
inputs=personality_probability_change_inputs,
outputs=[warning_less_text],
)
with gr.Row():
prompt_schedule = gr.Textbox(
label="日程生成提示词", value=config_data["personality"]["prompt_schedule"], interactive=True
)
with gr.Row():
personal_save_btn = gr.Button(
"保存人格配置",
variant="primary",
elem_id="save_personality_btn",
elem_classes="save_personality_btn",
)
with gr.Row():
personal_save_message = gr.Textbox(label="保存人格结果")
personal_save_btn.click(
save_personality_config,
inputs=[
prompt_personality_1,
prompt_personality_2,
prompt_personality_3,
prompt_schedule,
personality_1_probability,
personality_2_probability,
personality_3_probability,
],
outputs=[personal_save_message],
)
with gr.TabItem("3-消息&表情包设置"):
with gr.Row():
with gr.Column(scale=3):
with gr.Row():
min_text_length = gr.Number(
value=config_data["message"]["min_text_length"],
label="与麦麦聊天时麦麦只会回答文本大于等于此数的消息",
)
with gr.Row():
max_context_size = gr.Number(
value=config_data["message"]["max_context_size"], label="麦麦获得的上文数量"
)
with gr.Row():
emoji_chance = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["message"]["emoji_chance"],
label="麦麦使用表情包的概率",
)
with gr.Row():
thinking_timeout = gr.Number(
value=config_data["message"]["thinking_timeout"],
label="麦麦正在思考时,如果超过此秒数,则停止思考",
)
with gr.Row():
response_willing_amplifier = gr.Number(
value=config_data["message"]["response_willing_amplifier"],
label="麦麦回复意愿放大系数,一般为1",
)
with gr.Row():
response_interested_rate_amplifier = gr.Number(
value=config_data["message"]["response_interested_rate_amplifier"],
label="麦麦回复兴趣度放大系数,听到记忆里的内容时放大系数",
)
with gr.Row():
down_frequency_rate = gr.Number(
value=config_data["message"]["down_frequency_rate"],
label="降低回复频率的群组回复意愿降低系数",
)
with gr.Row():
gr.Markdown("### 违禁词列表")
with gr.Row():
ban_words_list = config_data["message"]["ban_words"]
with gr.Blocks():
ban_words_list_state = gr.State(value=ban_words_list.copy())
with gr.Row():
ban_words_list_display = gr.TextArea(
value="\n".join(ban_words_list), label="违禁词列表", interactive=False, lines=5
)
with gr.Row():
with gr.Column(scale=3):
ban_words_new_item_input = gr.Textbox(label="添加新违禁词")
ban_words_add_btn = gr.Button("添加", scale=1)
with gr.Row():
with gr.Column(scale=3):
ban_words_item_to_delete = gr.Dropdown(
choices=ban_words_list, label="选择要删除的违禁词"
)
ban_words_delete_btn = gr.Button("删除", scale=1)
ban_words_final_result = gr.Text(label="修改后的违禁词")
ban_words_add_btn.click(
add_item,
inputs=[ban_words_new_item_input, ban_words_list_state],
outputs=[
ban_words_list_state,
ban_words_list_display,
ban_words_item_to_delete,
ban_words_final_result,
],
)
ban_words_delete_btn.click(
delete_item,
inputs=[ban_words_item_to_delete, ban_words_list_state],
outputs=[
ban_words_list_state,
ban_words_list_display,
ban_words_item_to_delete,
ban_words_final_result,
],
)
with gr.Row():
gr.Markdown("### 检测违禁消息正则表达式列表")
with gr.Row():
gr.Markdown(
"""
需要过滤的消息(原始消息)匹配的正则表达式,匹配到的消息将被过滤(支持CQ码),若不了解正则表达式请勿修改\n
"https?://[^\\s]+", # 匹配https链接\n
"\\d{4}-\\d{2}-\\d{2}", # 匹配日期\n
"\\[CQ:at,qq=\\d+\\]" # 匹配@\n
"""
)
with gr.Row():
ban_msgs_regex_list = config_data["message"]["ban_msgs_regex"]
with gr.Blocks():
ban_msgs_regex_list_state = gr.State(value=ban_msgs_regex_list.copy())
with gr.Row():
ban_msgs_regex_list_display = gr.TextArea(
value="\n".join(ban_msgs_regex_list),
label="违禁消息正则列表",
interactive=False,
lines=5,
)
with gr.Row():
with gr.Column(scale=3):
ban_msgs_regex_new_item_input = gr.Textbox(label="添加新违禁消息正则")
ban_msgs_regex_add_btn = gr.Button("添加", scale=1)
with gr.Row():
with gr.Column(scale=3):
ban_msgs_regex_item_to_delete = gr.Dropdown(
choices=ban_msgs_regex_list, label="选择要删除的违禁消息正则"
)
ban_msgs_regex_delete_btn = gr.Button("删除", scale=1)
ban_msgs_regex_final_result = gr.Text(label="修改后的违禁消息正则")
ban_msgs_regex_add_btn.click(
add_item,
inputs=[ban_msgs_regex_new_item_input, ban_msgs_regex_list_state],
outputs=[
ban_msgs_regex_list_state,
ban_msgs_regex_list_display,
ban_msgs_regex_item_to_delete,
ban_msgs_regex_final_result,
],
)
ban_msgs_regex_delete_btn.click(
delete_item,
inputs=[ban_msgs_regex_item_to_delete, ban_msgs_regex_list_state],
outputs=[
ban_msgs_regex_list_state,
ban_msgs_regex_list_display,
ban_msgs_regex_item_to_delete,
ban_msgs_regex_final_result,
],
)
with gr.Row():
check_interval = gr.Number(
value=config_data["emoji"]["check_interval"], label="检查表情包的时间间隔"
)
with gr.Row():
register_interval = gr.Number(
value=config_data["emoji"]["register_interval"], label="注册表情包的时间间隔"
)
with gr.Row():
auto_save = gr.Checkbox(value=config_data["emoji"]["auto_save"], label="自动保存表情包")
with gr.Row():
enable_check = gr.Checkbox(value=config_data["emoji"]["enable_check"], label="启用表情包检查")
with gr.Row():
check_prompt = gr.Textbox(value=config_data["emoji"]["check_prompt"], label="表情包过滤要求")
with gr.Row():
emoji_save_btn = gr.Button(
"保存消息&表情包设置",
variant="primary",
elem_id="save_personality_btn",
elem_classes="save_personality_btn",
)
with gr.Row():
emoji_save_message = gr.Textbox(label="消息&表情包设置保存结果")
emoji_save_btn.click(
save_message_and_emoji_config,
inputs=[
min_text_length,
max_context_size,
emoji_chance,
thinking_timeout,
response_willing_amplifier,
response_interested_rate_amplifier,
down_frequency_rate,
ban_words_list_state,
ban_msgs_regex_list_state,
check_interval,
register_interval,
auto_save,
enable_check,
check_prompt,
],
outputs=[emoji_save_message],
)
with gr.TabItem("4-回复&模型设置"):
with gr.Row():
with gr.Column(scale=3):
with gr.Row():
gr.Markdown("""### 回复设置""")
with gr.Row():
model_r1_probability = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["response"]["model_r1_probability"],
label="麦麦回答时选择主要回复模型1 模型的概率",
)
with gr.Row():
model_r2_probability = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["response"]["model_v3_probability"],
label="麦麦回答时选择主要回复模型2 模型的概率",
)
with gr.Row():
model_r3_probability = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["response"]["model_r1_distill_probability"],
label="麦麦回答时选择主要回复模型3 模型的概率",
)
# 用于显示警告消息
with gr.Row():
model_warning_greater_text = gr.Markdown()
model_warning_less_text = gr.Markdown()
# 绑定滑块的值变化事件,确保总和必须等于 1.0
model_r1_probability.change(
adjust_model_greater_probabilities,
inputs=[model_r1_probability, model_r2_probability, model_r3_probability],
outputs=[model_warning_greater_text],
)
model_r2_probability.change(
adjust_model_greater_probabilities,
inputs=[model_r1_probability, model_r2_probability, model_r3_probability],
outputs=[model_warning_greater_text],
)
model_r3_probability.change(
adjust_model_greater_probabilities,
inputs=[model_r1_probability, model_r2_probability, model_r3_probability],
outputs=[model_warning_greater_text],
)
model_r1_probability.change(
adjust_model_less_probabilities,
inputs=[model_r1_probability, model_r2_probability, model_r3_probability],
outputs=[model_warning_less_text],
)
model_r2_probability.change(
adjust_model_less_probabilities,
inputs=[model_r1_probability, model_r2_probability, model_r3_probability],
outputs=[model_warning_less_text],
)
model_r3_probability.change(
adjust_model_less_probabilities,
inputs=[model_r1_probability, model_r2_probability, model_r3_probability],
outputs=[model_warning_less_text],
)
with gr.Row():
max_response_length = gr.Number(
value=config_data["response"]["max_response_length"], label="麦麦回答的最大token数"
)
with gr.Row():
gr.Markdown("""### 模型设置""")
with gr.Row():
gr.Markdown(
"""### 注意\n
如果你是用的是火山引擎的API,建议查看[这篇文档](https://zxmucttizt8.feishu.cn/wiki/MQj7wp6dki6X8rkplApc2v6Enkd)中的修改火山API部分\n
因为修改至火山API涉及到修改源码部分,由于自己修改源码造成的问题MaiMBot官方并不因此负责!\n
感谢理解,感谢你使用MaiMBot
"""
)
with gr.Tabs():
with gr.TabItem("1-主要回复模型"):
with gr.Row():
model1_name = gr.Textbox(
value=config_data["model"]["llm_reasoning"]["name"], label="模型1的名称"
)
with gr.Row():
model1_provider = gr.Dropdown(
choices=MODEL_PROVIDER_LIST,
value=config_data["model"]["llm_reasoning"]["provider"],
label="模型1(主要回复模型)提供商",
)
with gr.Row():
model1_pri_in = gr.Number(
value=config_data["model"]["llm_reasoning"]["pri_in"],
label="模型1(主要回复模型)的输入价格(非必填,可以记录消耗)",
)
with gr.Row():
model1_pri_out = gr.Number(
value=config_data["model"]["llm_reasoning"]["pri_out"],
label="模型1(主要回复模型)的输出价格(非必填,可以记录消耗)",
)
with gr.TabItem("2-次要回复模型"):
with gr.Row():
model2_name = gr.Textbox(
value=config_data["model"]["llm_normal"]["name"], label="模型2的名称"
)
with gr.Row():
model2_provider = gr.Dropdown(
choices=MODEL_PROVIDER_LIST,
value=config_data["model"]["llm_normal"]["provider"],
label="模型2提供商",
)
with gr.TabItem("3-次要模型"):
with gr.Row():
model3_name = gr.Textbox(
value=config_data["model"]["llm_reasoning_minor"]["name"], label="模型3的名称"
)
with gr.Row():
model3_provider = gr.Dropdown(
choices=MODEL_PROVIDER_LIST,
value=config_data["model"]["llm_reasoning_minor"]["provider"],
label="模型3提供商",
)
with gr.TabItem("4-情感&主题模型"):
with gr.Row():
gr.Markdown("""### 情感模型设置""")
with gr.Row():
emotion_model_name = gr.Textbox(
value=config_data["model"]["llm_emotion_judge"]["name"], label="情感模型名称"
)
with gr.Row():
emotion_model_provider = gr.Dropdown(
choices=MODEL_PROVIDER_LIST,
value=config_data["model"]["llm_emotion_judge"]["provider"],
label="情感模型提供商",
)
with gr.Row():
gr.Markdown("""### 主题模型设置""")
with gr.Row():
topic_judge_model_name = gr.Textbox(
value=config_data["model"]["llm_topic_judge"]["name"], label="主题判断模型名称"
)
with gr.Row():
topic_judge_model_provider = gr.Dropdown(
choices=MODEL_PROVIDER_LIST,
value=config_data["model"]["llm_topic_judge"]["provider"],
label="主题判断模型提供商",
)
with gr.Row():
summary_by_topic_model_name = gr.Textbox(
value=config_data["model"]["llm_summary_by_topic"]["name"], label="主题总结模型名称"
)
with gr.Row():
summary_by_topic_model_provider = gr.Dropdown(
choices=MODEL_PROVIDER_LIST,
value=config_data["model"]["llm_summary_by_topic"]["provider"],
label="主题总结模型提供商",
)
with gr.TabItem("5-识图模型"):
with gr.Row():
gr.Markdown("""### 识图模型设置""")
with gr.Row():
vlm_model_name = gr.Textbox(
value=config_data["model"]["vlm"]["name"], label="识图模型名称"
)
with gr.Row():
vlm_model_provider = gr.Dropdown(
choices=MODEL_PROVIDER_LIST,
value=config_data["model"]["vlm"]["provider"],
label="识图模型提供商",
)
with gr.Row():
save_model_btn = gr.Button("保存回复&模型设置", variant="primary", elem_id="save_model_btn")
with gr.Row():
save_btn_message = gr.Textbox()
save_model_btn.click(
save_response_model_config,
inputs=[
model_r1_probability,
model_r2_probability,
model_r3_probability,
max_response_length,
model1_name,
model1_provider,
model1_pri_in,
model1_pri_out,
model2_name,
model2_provider,
model3_name,
model3_provider,
emotion_model_name,
emotion_model_provider,
topic_judge_model_name,
topic_judge_model_provider,
summary_by_topic_model_name,
summary_by_topic_model_provider,
vlm_model_name,
vlm_model_provider,
],
outputs=[save_btn_message],
)
with gr.TabItem("5-记忆&心情设置"):
with gr.Row():
with gr.Column(scale=3):
with gr.Row():
gr.Markdown("""### 记忆设置""")
with gr.Row():
build_memory_interval = gr.Number(
value=config_data["memory"]["build_memory_interval"],
label="记忆构建间隔 单位秒,间隔越低,麦麦学习越多,但是冗余信息也会增多",
)
with gr.Row():
memory_compress_rate = gr.Number(
value=config_data["memory"]["memory_compress_rate"],
label="记忆压缩率 控制记忆精简程度 建议保持默认,调高可以获得更多信息,但是冗余信息也会增多",
)
with gr.Row():
forget_memory_interval = gr.Number(
value=config_data["memory"]["forget_memory_interval"],
label="记忆遗忘间隔 单位秒 间隔越低,麦麦遗忘越频繁,记忆更精简,但更难学习",
)
with gr.Row():
memory_forget_time = gr.Number(
value=config_data["memory"]["memory_forget_time"],
label="多长时间后的记忆会被遗忘 单位小时 ",
)
with gr.Row():
memory_forget_percentage = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["memory"]["memory_forget_percentage"],
label="记忆遗忘比例 控制记忆遗忘程度 越大遗忘越多 建议保持默认",
)
with gr.Row():
memory_ban_words_list = config_data["memory"]["memory_ban_words"]
with gr.Blocks():
memory_ban_words_list_state = gr.State(value=memory_ban_words_list.copy())
with gr.Row():
memory_ban_words_list_display = gr.TextArea(
value="\n".join(memory_ban_words_list),
label="不希望记忆词列表",
interactive=False,
lines=5,
)
with gr.Row():
with gr.Column(scale=3):
memory_ban_words_new_item_input = gr.Textbox(label="添加不希望记忆词")
memory_ban_words_add_btn = gr.Button("添加", scale=1)
with gr.Row():
with gr.Column(scale=3):
memory_ban_words_item_to_delete = gr.Dropdown(
choices=memory_ban_words_list, label="选择要删除的不希望记忆词"
)
memory_ban_words_delete_btn = gr.Button("删除", scale=1)
memory_ban_words_final_result = gr.Text(label="修改后的不希望记忆词列表")
memory_ban_words_add_btn.click(
add_item,
inputs=[memory_ban_words_new_item_input, memory_ban_words_list_state],
outputs=[
memory_ban_words_list_state,
memory_ban_words_list_display,
memory_ban_words_item_to_delete,
memory_ban_words_final_result,
],
)
memory_ban_words_delete_btn.click(
delete_item,
inputs=[memory_ban_words_item_to_delete, memory_ban_words_list_state],
outputs=[
memory_ban_words_list_state,
memory_ban_words_list_display,
memory_ban_words_item_to_delete,
memory_ban_words_final_result,
],
)
with gr.Row():
mood_update_interval = gr.Number(
value=config_data["mood"]["mood_update_interval"], label="心情更新间隔 单位秒"
)
with gr.Row():
mood_decay_rate = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["mood"]["mood_decay_rate"],
label="心情衰减率",
)
with gr.Row():
mood_intensity_factor = gr.Number(
value=config_data["mood"]["mood_intensity_factor"], label="心情强度因子"
)
with gr.Row():
save_memory_mood_btn = gr.Button("保存记忆&心情设置", variant="primary")
with gr.Row():
save_memory_mood_message = gr.Textbox()
with gr.Row():
save_memory_mood_btn.click(
save_memory_mood_config,
inputs=[
build_memory_interval,
memory_compress_rate,
forget_memory_interval,
memory_forget_time,
memory_forget_percentage,
memory_ban_words_list_state,
mood_update_interval,
mood_decay_rate,
mood_intensity_factor,
],
outputs=[save_memory_mood_message],
)
with gr.TabItem("6-群组设置"):
with gr.Row():
with gr.Column(scale=3):
with gr.Row():
gr.Markdown("""## 群组设置""")
with gr.Row():
gr.Markdown("""### 可以回复消息的群""")
with gr.Row():
talk_allowed_list = config_data["groups"]["talk_allowed"]
with gr.Blocks():
talk_allowed_list_state = gr.State(value=talk_allowed_list.copy())
with gr.Row():
talk_allowed_list_display = gr.TextArea(
value="\n".join(map(str, talk_allowed_list)),
label="可以回复消息的群列表",
interactive=False,
lines=5,
)
with gr.Row():
with gr.Column(scale=3):
talk_allowed_new_item_input = gr.Textbox(label="添加新群")
talk_allowed_add_btn = gr.Button("添加", scale=1)
with gr.Row():
with gr.Column(scale=3):
talk_allowed_item_to_delete = gr.Dropdown(
choices=talk_allowed_list, label="选择要删除的群"
)
talk_allowed_delete_btn = gr.Button("删除", scale=1)
talk_allowed_final_result = gr.Text(label="修改后的可以回复消息的群列表")
talk_allowed_add_btn.click(
add_int_item,
inputs=[talk_allowed_new_item_input, talk_allowed_list_state],
outputs=[
talk_allowed_list_state,
talk_allowed_list_display,
talk_allowed_item_to_delete,
talk_allowed_final_result,
],
)
talk_allowed_delete_btn.click(
delete_int_item,
inputs=[talk_allowed_item_to_delete, talk_allowed_list_state],
outputs=[
talk_allowed_list_state,
talk_allowed_list_display,
talk_allowed_item_to_delete,
talk_allowed_final_result,
],
)
with gr.Row():
talk_frequency_down_list = config_data["groups"]["talk_frequency_down"]
with gr.Blocks():
talk_frequency_down_list_state = gr.State(value=talk_frequency_down_list.copy())
with gr.Row():
talk_frequency_down_list_display = gr.TextArea(
value="\n".join(map(str, talk_frequency_down_list)),
label="降低回复频率的群列表",
interactive=False,
lines=5,
)
with gr.Row():
with gr.Column(scale=3):
talk_frequency_down_new_item_input = gr.Textbox(label="添加新群")
talk_frequency_down_add_btn = gr.Button("添加", scale=1)
with gr.Row():
with gr.Column(scale=3):
talk_frequency_down_item_to_delete = gr.Dropdown(
choices=talk_frequency_down_list, label="选择要删除的群"
)
talk_frequency_down_delete_btn = gr.Button("删除", scale=1)
talk_frequency_down_final_result = gr.Text(label="修改后的降低回复频率的群列表")
talk_frequency_down_add_btn.click(
add_int_item,
inputs=[talk_frequency_down_new_item_input, talk_frequency_down_list_state],
outputs=[
talk_frequency_down_list_state,
talk_frequency_down_list_display,
talk_frequency_down_item_to_delete,
talk_frequency_down_final_result,
],
)
talk_frequency_down_delete_btn.click(
delete_int_item,
inputs=[talk_frequency_down_item_to_delete, talk_frequency_down_list_state],
outputs=[
talk_frequency_down_list_state,
talk_frequency_down_list_display,
talk_frequency_down_item_to_delete,
talk_frequency_down_final_result,
],
)
with gr.Row():
ban_user_id_list = config_data["groups"]["ban_user_id"]
with gr.Blocks():
ban_user_id_list_state = gr.State(value=ban_user_id_list.copy())
with gr.Row():
ban_user_id_list_display = gr.TextArea(
value="\n".join(map(str, ban_user_id_list)),
label="禁止回复消息的QQ号列表",
interactive=False,
lines=5,
)
with gr.Row():
with gr.Column(scale=3):
ban_user_id_new_item_input = gr.Textbox(label="添加新QQ号")
ban_user_id_add_btn = gr.Button("添加", scale=1)
with gr.Row():
with gr.Column(scale=3):
ban_user_id_item_to_delete = gr.Dropdown(
choices=ban_user_id_list, label="选择要删除的QQ号"
)
ban_user_id_delete_btn = gr.Button("删除", scale=1)
ban_user_id_final_result = gr.Text(label="修改后的禁止回复消息的QQ号列表")
ban_user_id_add_btn.click(
add_int_item,
inputs=[ban_user_id_new_item_input, ban_user_id_list_state],
outputs=[
ban_user_id_list_state,
ban_user_id_list_display,
ban_user_id_item_to_delete,
ban_user_id_final_result,
],
)
ban_user_id_delete_btn.click(
delete_int_item,
inputs=[ban_user_id_item_to_delete, ban_user_id_list_state],
outputs=[
ban_user_id_list_state,
ban_user_id_list_display,
ban_user_id_item_to_delete,
ban_user_id_final_result,
],
)
with gr.Row():
save_group_btn = gr.Button("保存群组设置", variant="primary")
with gr.Row():
save_group_btn_message = gr.Textbox()
with gr.Row():
save_group_btn.click(
save_group_config,
inputs=[
talk_allowed_list_state,
talk_frequency_down_list_state,
ban_user_id_list_state,
],
outputs=[save_group_btn_message],
)
with gr.TabItem("7-其他设置"):
with gr.Row():
with gr.Column(scale=3):
with gr.Row():
gr.Markdown("""### 其他设置""")
with gr.Row():
keywords_reaction_enabled = gr.Checkbox(
value=config_data["keywords_reaction"]["enable"], label="是否针对某个关键词作出反应"
)
with gr.Row():
enable_advance_output = gr.Checkbox(
value=config_data["others"]["enable_advance_output"], label="是否开启高级输出"
)
with gr.Row():
enable_kuuki_read = gr.Checkbox(
value=config_data["others"]["enable_kuuki_read"], label="是否启用读空气功能"
)
with gr.Row():
enable_debug_output = gr.Checkbox(
value=config_data["others"]["enable_debug_output"], label="是否开启调试输出"
)
with gr.Row():
enable_friend_chat = gr.Checkbox(
value=config_data["others"]["enable_friend_chat"], label="是否开启好友聊天"
)
if PARSED_CONFIG_VERSION > HAVE_ONLINE_STATUS_VERSION:
with gr.Row():
gr.Markdown(
"""### 远程统计设置\n
测试功能,发送统计信息,主要是看全球有多少只麦麦
"""
)
with gr.Row():
remote_status = gr.Checkbox(
value=config_data["remote"]["enable"], label="是否开启麦麦在线全球统计"
)
with gr.Row():
gr.Markdown("""### 中文错别字设置""")
with gr.Row():
chinese_typo_enabled = gr.Checkbox(
value=config_data["chinese_typo"]["enable"], label="是否开启中文错别字"
)
with gr.Row():
error_rate = gr.Slider(
minimum=0,
maximum=1,
step=0.001,
value=config_data["chinese_typo"]["error_rate"],
label="单字替换概率",
)
with gr.Row():
min_freq = gr.Number(value=config_data["chinese_typo"]["min_freq"], label="最小字频阈值")
with gr.Row():
tone_error_rate = gr.Slider(
minimum=0,
maximum=1,
step=0.01,
value=config_data["chinese_typo"]["tone_error_rate"],
label="声调错误概率",
)
with gr.Row():
word_replace_rate = gr.Slider(
minimum=0,
maximum=1,
step=0.001,
value=config_data["chinese_typo"]["word_replace_rate"],
label="整词替换概率",
)
with gr.Row():
save_other_config_btn = gr.Button("保存其他配置", variant="primary")
with gr.Row():
save_other_config_message = gr.Textbox()
with gr.Row():
if PARSED_CONFIG_VERSION <= HAVE_ONLINE_STATUS_VERSION:
remote_status = gr.Checkbox(value=False, visible=False)
save_other_config_btn.click(
save_other_config,
inputs=[
keywords_reaction_enabled,
enable_advance_output,
enable_kuuki_read,
enable_debug_output,
enable_friend_chat,
chinese_typo_enabled,
error_rate,
min_freq,
tone_error_rate,
word_replace_rate,
remote_status,
],
outputs=[save_other_config_message],
)
app.queue().launch( # concurrency_count=511, max_size=1022
server_name="0.0.0.0",
inbrowser=True,
share=is_share,
server_port=7000,
debug=debug,
quiet=True,
)