mirror of
https://github.com/camel-ai/owl.git
synced 2026-03-22 14:07:17 +08:00
update deepseek example and fix format
This commit is contained in:
405
owl/app.py
405
owl/app.py
@@ -1,3 +1,16 @@
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# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
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import os
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import sys
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import gradio as gr
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@@ -25,7 +38,7 @@ SCRIPTS = {
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"Mini": "run_mini.py",
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"DeepSeek (中文)": "run_deepseek_zh.py",
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"Default": "run.py",
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"GAIA Roleplaying": "run_gaia_roleplaying.py"
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"GAIA Roleplaying": "run_gaia_roleplaying.py",
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}
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# 脚本描述
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@@ -35,98 +48,100 @@ SCRIPT_DESCRIPTIONS = {
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"Mini": "轻量级版本,使用OpenAI GPT-4o模型",
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"DeepSeek (中文)": "使用DeepSeek模型,适合非多模态任务",
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"Default": "默认OWL实现,使用OpenAI GPT-4o模型和全套工具",
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"GAIA Roleplaying": "GAIA基准测试实现,用于评估模型能力"
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"GAIA Roleplaying": "GAIA基准测试实现,用于评估模型能力",
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}
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# 环境变量分组
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ENV_GROUPS = {
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"模型API": [
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{
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"name": "OPENAI_API_KEY",
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"label": "OpenAI API密钥",
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"type": "password",
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"name": "OPENAI_API_KEY",
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"label": "OpenAI API密钥",
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"type": "password",
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"required": False,
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"help": "OpenAI API密钥,用于访问GPT模型。获取方式:https://platform.openai.com/api-keys"
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"help": "OpenAI API密钥,用于访问GPT模型。获取方式:https://platform.openai.com/api-keys",
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},
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{
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"name": "OPENAI_API_BASE_URL",
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"label": "OpenAI API基础URL",
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"type": "text",
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"name": "OPENAI_API_BASE_URL",
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"label": "OpenAI API基础URL",
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"type": "text",
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"required": False,
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"help": "OpenAI API的基础URL,可选。如果使用代理或自定义端点,请设置此项。"
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"help": "OpenAI API的基础URL,可选。如果使用代理或自定义端点,请设置此项。",
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},
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{
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"name": "QWEN_API_KEY",
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"label": "阿里云Qwen API密钥",
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"type": "password",
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"name": "QWEN_API_KEY",
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"label": "阿里云Qwen API密钥",
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"type": "password",
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"required": False,
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"help": "阿里云Qwen API密钥,用于访问Qwen模型。获取方式:https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key"
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"help": "阿里云Qwen API密钥,用于访问Qwen模型。获取方式:https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key",
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},
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{
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"name": "DEEPSEEK_API_KEY",
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"label": "DeepSeek API密钥",
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"type": "password",
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"name": "DEEPSEEK_API_KEY",
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"label": "DeepSeek API密钥",
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"type": "password",
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"required": False,
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"help": "DeepSeek API密钥,用于访问DeepSeek模型。获取方式:https://platform.deepseek.com/api_keys"
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"help": "DeepSeek API密钥,用于访问DeepSeek模型。获取方式:https://platform.deepseek.com/api_keys",
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},
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],
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"搜索工具": [
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{
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"name": "GOOGLE_API_KEY",
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"label": "Google API密钥",
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"type": "password",
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"name": "GOOGLE_API_KEY",
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"label": "Google API密钥",
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"type": "password",
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"required": False,
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"help": "Google搜索API密钥,用于网络搜索功能。获取方式:https://developers.google.com/custom-search/v1/overview"
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"help": "Google搜索API密钥,用于网络搜索功能。获取方式:https://developers.google.com/custom-search/v1/overview",
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},
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{
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"name": "SEARCH_ENGINE_ID",
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"label": "搜索引擎ID",
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"type": "text",
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"name": "SEARCH_ENGINE_ID",
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"label": "搜索引擎ID",
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"type": "text",
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"required": False,
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"help": "Google自定义搜索引擎ID,与Google API密钥配合使用。获取方式:https://developers.google.com/custom-search/v1/overview"
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"help": "Google自定义搜索引擎ID,与Google API密钥配合使用。获取方式:https://developers.google.com/custom-search/v1/overview",
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},
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],
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"其他工具": [
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{
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"name": "HF_TOKEN",
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"label": "Hugging Face令牌",
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"type": "password",
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"name": "HF_TOKEN",
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"label": "Hugging Face令牌",
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"type": "password",
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"required": False,
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"help": "Hugging Face API令牌,用于访问Hugging Face模型和数据集。获取方式:https://huggingface.co/join"
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"help": "Hugging Face API令牌,用于访问Hugging Face模型和数据集。获取方式:https://huggingface.co/join",
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},
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{
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"name": "CHUNKR_API_KEY",
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"label": "Chunkr API密钥",
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"type": "password",
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"name": "CHUNKR_API_KEY",
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"label": "Chunkr API密钥",
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"type": "password",
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"required": False,
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"help": "Chunkr API密钥,用于文档处理功能。获取方式:https://chunkr.ai/"
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"help": "Chunkr API密钥,用于文档处理功能。获取方式:https://chunkr.ai/",
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},
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{
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"name": "FIRECRAWL_API_KEY",
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"label": "Firecrawl API密钥",
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"type": "password",
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"name": "FIRECRAWL_API_KEY",
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"label": "Firecrawl API密钥",
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"type": "password",
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"required": False,
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"help": "Firecrawl API密钥,用于网页爬取功能。获取方式:https://www.firecrawl.dev/"
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"help": "Firecrawl API密钥,用于网页爬取功能。获取方式:https://www.firecrawl.dev/",
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},
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],
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"自定义环境变量": [] # 用户自定义的环境变量将存储在这里
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"自定义环境变量": [], # 用户自定义的环境变量将存储在这里
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}
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def get_script_info(script_name):
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"""获取脚本的详细信息"""
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return SCRIPT_DESCRIPTIONS.get(script_name, "无描述信息")
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def load_env_vars():
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"""加载环境变量"""
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env_vars = {}
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# 尝试从.env文件加载
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dotenv.load_dotenv()
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# 获取所有环境变量
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for group in ENV_GROUPS.values():
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for var in group:
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env_vars[var["name"]] = os.environ.get(var["name"], "")
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# 加载.env文件中可能存在的其他环境变量
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if Path(".env").exists():
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with open(".env", "r", encoding="utf-8") as f:
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@@ -135,34 +150,37 @@ def load_env_vars():
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if line and not line.startswith("#") and "=" in line:
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key, value = line.split("=", 1)
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key = key.strip()
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value = value.strip().strip('"\'')
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value = value.strip().strip("\"'")
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# 检查是否是已知的环境变量
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known_var = False
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for group in ENV_GROUPS.values():
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if any(var["name"] == key for var in group):
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known_var = True
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break
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# 如果不是已知的环境变量,添加到自定义环境变量组
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if not known_var and key not in env_vars:
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ENV_GROUPS["自定义环境变量"].append({
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"name": key,
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"label": key,
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"type": "text",
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"required": False,
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"help": "用户自定义环境变量"
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})
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ENV_GROUPS["自定义环境变量"].append(
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{
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"name": key,
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"label": key,
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"type": "text",
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"required": False,
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"help": "用户自定义环境变量",
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}
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)
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env_vars[key] = value
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return env_vars
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def save_env_vars(env_vars):
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"""保存环境变量到.env文件"""
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# 读取现有的.env文件内容
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env_path = Path(".env")
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existing_content = {}
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if env_path.exists():
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with open(env_path, "r", encoding="utf-8") as f:
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for line in f:
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@@ -170,105 +188,116 @@ def save_env_vars(env_vars):
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if line and not line.startswith("#") and "=" in line:
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key, value = line.split("=", 1)
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existing_content[key.strip()] = value.strip()
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# 更新环境变量
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for key, value in env_vars.items():
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if value: # 只保存非空值
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# 确保值是字符串形式,并用引号包裹
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value = str(value) # 确保值是字符串
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if not (value.startswith('"') and value.endswith('"')) and not (value.startswith("'") and value.endswith("'")):
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if not (value.startswith('"') and value.endswith('"')) and not (
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value.startswith("'") and value.endswith("'")
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):
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value = f'"{value}"'
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existing_content[key] = value
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# 同时更新当前进程的环境变量
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os.environ[key] = value.strip('"\'')
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os.environ[key] = value.strip("\"'")
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# 写入.env文件
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with open(env_path, "w", encoding="utf-8") as f:
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for key, value in existing_content.items():
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f.write(f"{key}={value}\n")
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return "✅ 环境变量已保存"
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def add_custom_env_var(name, value, var_type):
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"""添加自定义环境变量"""
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if not name:
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return "❌ 环境变量名不能为空", None
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# 检查是否已存在同名环境变量
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for group in ENV_GROUPS.values():
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if any(var["name"] == name for var in group):
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return f"❌ 环境变量 {name} 已存在", None
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# 添加到自定义环境变量组
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ENV_GROUPS["自定义环境变量"].append({
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"name": name,
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"label": name,
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"type": var_type,
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"required": False,
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"help": "用户自定义环境变量"
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})
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ENV_GROUPS["自定义环境变量"].append(
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{
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"name": name,
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"label": name,
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"type": var_type,
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"required": False,
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"help": "用户自定义环境变量",
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}
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)
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# 保存环境变量
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env_vars = {name: value}
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save_env_vars(env_vars)
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# 返回成功消息和更新后的环境变量组
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return f"✅ 已添加环境变量 {name}", ENV_GROUPS["自定义环境变量"]
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def terminate_process():
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"""终止当前运行的进程"""
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global current_process
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with process_lock:
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if current_process is not None and current_process.poll() is None:
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# 在Windows上使用CTRL_BREAK_EVENT,在Unix上使用SIGTERM
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if os.name == 'nt':
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if os.name == "nt":
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current_process.send_signal(signal.CTRL_BREAK_EVENT)
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else:
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current_process.terminate()
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# 等待进程终止
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try:
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current_process.wait(timeout=5)
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except subprocess.TimeoutExpired:
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# 如果进程没有在5秒内终止,强制终止
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current_process.kill()
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log_queue.put("进程已终止\n")
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return "✅ 进程已终止"
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else:
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return "❌ 没有正在运行的进程"
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def run_script(script_dropdown, question, progress=gr.Progress()):
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"""运行选定的脚本并返回输出"""
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global current_process
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script_name = SCRIPTS.get(script_dropdown)
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if not script_name:
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return "❌ 无效的脚本选择", "", "", "", None
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if not question.strip():
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return "请输入问题!", "", "", "", None
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# 清空日志队列
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while not log_queue.empty():
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log_queue.get()
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# 创建日志目录
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log_dir = Path("logs")
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log_dir.mkdir(exist_ok=True)
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# 创建带时间戳的日志文件
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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log_file = log_dir / f"{script_name.replace('.py', '')}_{timestamp}.log"
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# 构建命令
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cmd = [sys.executable, os.path.join("owl", "script_adapter.py"), os.path.join("owl", script_name)]
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cmd = [
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sys.executable,
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os.path.join("owl", "script_adapter.py"),
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os.path.join("owl", script_name),
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]
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# 创建环境变量副本并添加问题
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env = os.environ.copy()
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env["OWL_QUESTION"] = question
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# 启动进程
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with process_lock:
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current_process = subprocess.Popen(
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@@ -277,9 +306,9 @@ def run_script(script_dropdown, question, progress=gr.Progress()):
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stderr=subprocess.STDOUT,
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text=True,
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bufsize=1,
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env=env
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env=env,
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)
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||||
|
||||
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# 创建线程来读取输出
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def read_output():
|
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try:
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@@ -293,54 +322,67 @@ def run_script(script_dropdown, question, progress=gr.Progress()):
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log_queue.put(line)
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except Exception as e:
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log_queue.put(f"读取输出时出错: {str(e)}\n")
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||||
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||||
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# 启动读取线程
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threading.Thread(target=read_output, daemon=True).start()
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# 收集日志
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logs = []
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progress(0, desc="正在运行...")
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||||
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# 等待进程完成或超时
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||||
start_time = time.time()
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||||
timeout = 1800 # 30分钟超时
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||||
|
||||
|
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while current_process.poll() is None:
|
||||
# 检查是否超时
|
||||
if time.time() - start_time > timeout:
|
||||
with process_lock:
|
||||
if current_process.poll() is None:
|
||||
if os.name == 'nt':
|
||||
if os.name == "nt":
|
||||
current_process.send_signal(signal.CTRL_BREAK_EVENT)
|
||||
else:
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||||
current_process.terminate()
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log_queue.put("执行超时,已终止进程\n")
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||||
break
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||||
|
||||
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||||
# 从队列获取日志
|
||||
while not log_queue.empty():
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||||
log = log_queue.get()
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||||
logs.append(log)
|
||||
|
||||
|
||||
# 更新进度
|
||||
elapsed = time.time() - start_time
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||||
progress(min(elapsed / 300, 0.99), desc="正在运行...")
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||||
|
||||
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||||
# 短暂休眠以减少CPU使用
|
||||
time.sleep(0.1)
|
||||
|
||||
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||||
# 每秒更新一次日志显示
|
||||
yield status_message(current_process), extract_answer(logs), "".join(logs), str(log_file), None
|
||||
|
||||
yield (
|
||||
status_message(current_process),
|
||||
extract_answer(logs),
|
||||
"".join(logs),
|
||||
str(log_file),
|
||||
None,
|
||||
)
|
||||
|
||||
# 获取剩余日志
|
||||
while not log_queue.empty():
|
||||
logs.append(log_queue.get())
|
||||
|
||||
|
||||
# 提取聊天历史(如果有)
|
||||
chat_history = extract_chat_history(logs)
|
||||
|
||||
|
||||
# 返回最终状态和日志
|
||||
return status_message(current_process), extract_answer(logs), "".join(logs), str(log_file), chat_history
|
||||
return (
|
||||
status_message(current_process),
|
||||
extract_answer(logs),
|
||||
"".join(logs),
|
||||
str(log_file),
|
||||
chat_history,
|
||||
)
|
||||
|
||||
|
||||
def status_message(process):
|
||||
"""根据进程状态返回状态消息"""
|
||||
@@ -351,6 +393,7 @@ def status_message(process):
|
||||
else:
|
||||
return f"❌ 执行失败 (返回码: {process.returncode})"
|
||||
|
||||
|
||||
def extract_answer(logs):
|
||||
"""从日志中提取答案"""
|
||||
answer = ""
|
||||
@@ -360,12 +403,13 @@ def extract_answer(logs):
|
||||
break
|
||||
return answer
|
||||
|
||||
|
||||
def extract_chat_history(logs):
|
||||
"""尝试从日志中提取聊天历史"""
|
||||
try:
|
||||
chat_json_str = ""
|
||||
capture_json = False
|
||||
|
||||
|
||||
for log in logs:
|
||||
if "chat_history" in log:
|
||||
# 开始捕获JSON
|
||||
@@ -384,7 +428,7 @@ def extract_chat_history(logs):
|
||||
# 清理可能的额外文本
|
||||
json_str = chat_json_str[:end_idx].strip()
|
||||
chat_data = json.loads(json_str)
|
||||
|
||||
|
||||
# 格式化为Gradio聊天组件可用的格式
|
||||
formatted_chat = []
|
||||
for msg in chat_data:
|
||||
@@ -402,11 +446,12 @@ def extract_chat_history(logs):
|
||||
pass
|
||||
return None
|
||||
|
||||
|
||||
def create_ui():
|
||||
"""创建Gradio界面"""
|
||||
# 加载环境变量
|
||||
env_vars = load_env_vars()
|
||||
|
||||
|
||||
with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as app:
|
||||
gr.Markdown(
|
||||
"""
|
||||
@@ -415,7 +460,7 @@ def create_ui():
|
||||
选择一个模型并输入您的问题,系统将运行相应的脚本并显示结果。
|
||||
"""
|
||||
)
|
||||
|
||||
|
||||
with gr.Tabs() as tabs:
|
||||
with gr.TabItem("运行模式"):
|
||||
with gr.Row():
|
||||
@@ -425,144 +470,173 @@ def create_ui():
|
||||
script_dropdown = gr.Dropdown(
|
||||
choices=list(SCRIPTS.keys()),
|
||||
value=default_script,
|
||||
label="选择模式"
|
||||
label="选择模式",
|
||||
)
|
||||
|
||||
|
||||
script_info = gr.Textbox(
|
||||
value=get_script_info(default_script) if default_script else "",
|
||||
value=get_script_info(default_script)
|
||||
if default_script
|
||||
else "",
|
||||
label="模型描述",
|
||||
interactive=False
|
||||
interactive=False,
|
||||
)
|
||||
|
||||
|
||||
script_dropdown.change(
|
||||
fn=lambda x: get_script_info(x),
|
||||
inputs=script_dropdown,
|
||||
outputs=script_info
|
||||
outputs=script_info,
|
||||
)
|
||||
|
||||
|
||||
question_input = gr.Textbox(
|
||||
lines=5,
|
||||
placeholder="请输入您的问题...",
|
||||
label="问题"
|
||||
lines=5, placeholder="请输入您的问题...", label="问题"
|
||||
)
|
||||
|
||||
|
||||
gr.Markdown(
|
||||
"""
|
||||
> **注意**: 您输入的问题将替换脚本中的默认问题。系统会自动处理问题的替换,确保您的问题被正确使用。
|
||||
"""
|
||||
)
|
||||
|
||||
|
||||
with gr.Row():
|
||||
run_button = gr.Button("运行", variant="primary")
|
||||
stop_button = gr.Button("终止", variant="stop")
|
||||
|
||||
|
||||
with gr.Column(scale=2):
|
||||
with gr.Tabs():
|
||||
with gr.TabItem("结果"):
|
||||
status_output = gr.Textbox(label="状态")
|
||||
answer_output = gr.Textbox(label="回答", lines=10)
|
||||
log_file_output = gr.Textbox(label="日志文件路径")
|
||||
|
||||
|
||||
with gr.TabItem("运行日志"):
|
||||
log_output = gr.Textbox(label="完整日志", lines=25)
|
||||
|
||||
|
||||
with gr.TabItem("聊天历史"):
|
||||
chat_output = gr.Chatbot(label="对话历史")
|
||||
|
||||
|
||||
# 示例问题
|
||||
examples = [
|
||||
["Qwen Mini (中文)", "浏览亚马逊并找出一款对程序员有吸引力的产品。请提供产品名称和价格"],
|
||||
["DeepSeek (中文)", "请分析GitHub上CAMEL-AI项目的最新统计数据。找出该项目的星标数量、贡献者数量和最近的活跃度。然后,创建一个简单的Excel表格来展示这些数据,并生成一个柱状图来可视化这些指标。最后,总结CAMEL项目的受欢迎程度和发展趋势。"],
|
||||
["Default", "Navigate to Amazon.com and identify one product that is attractive to coders. Please provide me with the product name and price. No need to verify your answer."]
|
||||
[
|
||||
"Qwen Mini (中文)",
|
||||
"浏览亚马逊并找出一款对程序员有吸引力的产品。请提供产品名称和价格",
|
||||
],
|
||||
[
|
||||
"DeepSeek (中文)",
|
||||
"请分析GitHub上CAMEL-AI项目的最新统计数据。找出该项目的星标数量、贡献者数量和最近的活跃度。然后,创建一个简单的Excel表格来展示这些数据,并生成一个柱状图来可视化这些指标。最后,总结CAMEL项目的受欢迎程度和发展趋势。",
|
||||
],
|
||||
[
|
||||
"Default",
|
||||
"Navigate to Amazon.com and identify one product that is attractive to coders. Please provide me with the product name and price. No need to verify your answer.",
|
||||
],
|
||||
]
|
||||
|
||||
gr.Examples(
|
||||
examples=examples,
|
||||
inputs=[script_dropdown, question_input]
|
||||
)
|
||||
|
||||
|
||||
gr.Examples(examples=examples, inputs=[script_dropdown, question_input])
|
||||
|
||||
with gr.TabItem("环境变量配置"):
|
||||
env_inputs = {}
|
||||
save_status = gr.Textbox(label="保存状态", interactive=False)
|
||||
|
||||
|
||||
# 添加自定义环境变量部分
|
||||
with gr.Accordion("添加自定义环境变量", open=True):
|
||||
with gr.Row():
|
||||
new_var_name = gr.Textbox(label="环境变量名", placeholder="例如:MY_CUSTOM_API_KEY")
|
||||
new_var_value = gr.Textbox(label="环境变量值", placeholder="输入值")
|
||||
new_var_type = gr.Dropdown(
|
||||
choices=["text", "password"],
|
||||
value="text",
|
||||
label="类型"
|
||||
new_var_name = gr.Textbox(
|
||||
label="环境变量名", placeholder="例如:MY_CUSTOM_API_KEY"
|
||||
)
|
||||
|
||||
new_var_value = gr.Textbox(
|
||||
label="环境变量值", placeholder="输入值"
|
||||
)
|
||||
new_var_type = gr.Dropdown(
|
||||
choices=["text", "password"], value="text", label="类型"
|
||||
)
|
||||
|
||||
add_var_button = gr.Button("添加环境变量", variant="primary")
|
||||
add_var_status = gr.Textbox(label="添加状态", interactive=False)
|
||||
|
||||
|
||||
# 自定义环境变量列表
|
||||
custom_vars_list = gr.JSON(
|
||||
value=ENV_GROUPS["自定义环境变量"],
|
||||
label="已添加的自定义环境变量",
|
||||
visible=len(ENV_GROUPS["自定义环境变量"]) > 0
|
||||
visible=len(ENV_GROUPS["自定义环境变量"]) > 0,
|
||||
)
|
||||
|
||||
|
||||
# 添加环境变量按钮点击事件
|
||||
add_var_button.click(
|
||||
fn=add_custom_env_var,
|
||||
inputs=[new_var_name, new_var_value, new_var_type],
|
||||
outputs=[add_var_status, custom_vars_list]
|
||||
outputs=[add_var_status, custom_vars_list],
|
||||
)
|
||||
|
||||
|
||||
# 现有环境变量配置
|
||||
for group_name, vars in ENV_GROUPS.items():
|
||||
if group_name != "自定义环境变量" or len(vars) > 0: # 只显示非空的自定义环境变量组
|
||||
with gr.Accordion(group_name, open=(group_name != "自定义环境变量")):
|
||||
if (
|
||||
group_name != "自定义环境变量" or len(vars) > 0
|
||||
): # 只显示非空的自定义环境变量组
|
||||
with gr.Accordion(
|
||||
group_name, open=(group_name != "自定义环境变量")
|
||||
):
|
||||
for var in vars:
|
||||
# 添加帮助信息
|
||||
gr.Markdown(f"**{var['help']}**")
|
||||
|
||||
|
||||
if var["type"] == "password":
|
||||
env_inputs[var["name"]] = gr.Textbox(
|
||||
value=env_vars.get(var["name"], ""),
|
||||
label=var["label"],
|
||||
placeholder=f"请输入{var['label']}",
|
||||
type="password"
|
||||
type="password",
|
||||
)
|
||||
else:
|
||||
env_inputs[var["name"]] = gr.Textbox(
|
||||
value=env_vars.get(var["name"], ""),
|
||||
label=var["label"],
|
||||
placeholder=f"请输入{var['label']}"
|
||||
placeholder=f"请输入{var['label']}",
|
||||
)
|
||||
|
||||
|
||||
save_button = gr.Button("保存环境变量", variant="primary")
|
||||
|
||||
|
||||
# 保存环境变量
|
||||
save_inputs = [env_inputs[var_name] for group in ENV_GROUPS.values() for var in group for var_name in [var["name"]] if var_name in env_inputs]
|
||||
save_inputs = [
|
||||
env_inputs[var_name]
|
||||
for group in ENV_GROUPS.values()
|
||||
for var in group
|
||||
for var_name in [var["name"]]
|
||||
if var_name in env_inputs
|
||||
]
|
||||
save_button.click(
|
||||
fn=lambda *values: save_env_vars(dict(zip([var["name"] for group in ENV_GROUPS.values() for var in group if var["name"] in env_inputs], values))),
|
||||
fn=lambda *values: save_env_vars(
|
||||
dict(
|
||||
zip(
|
||||
[
|
||||
var["name"]
|
||||
for group in ENV_GROUPS.values()
|
||||
for var in group
|
||||
if var["name"] in env_inputs
|
||||
],
|
||||
values,
|
||||
)
|
||||
)
|
||||
),
|
||||
inputs=save_inputs,
|
||||
outputs=save_status
|
||||
outputs=save_status,
|
||||
)
|
||||
|
||||
|
||||
# 运行脚本
|
||||
run_button.click(
|
||||
fn=run_script,
|
||||
inputs=[
|
||||
script_dropdown,
|
||||
question_input
|
||||
inputs=[script_dropdown, question_input],
|
||||
outputs=[
|
||||
status_output,
|
||||
answer_output,
|
||||
log_output,
|
||||
log_file_output,
|
||||
chat_output,
|
||||
],
|
||||
outputs=[status_output, answer_output, log_output, log_file_output, chat_output],
|
||||
show_progress=True
|
||||
show_progress=True,
|
||||
)
|
||||
|
||||
|
||||
# 终止运行
|
||||
stop_button.click(
|
||||
fn=terminate_process,
|
||||
inputs=[],
|
||||
outputs=[status_output]
|
||||
)
|
||||
|
||||
stop_button.click(fn=terminate_process, inputs=[], outputs=[status_output])
|
||||
|
||||
# 添加页脚
|
||||
gr.Markdown(
|
||||
"""
|
||||
@@ -585,10 +659,11 @@ def create_ui():
|
||||
- 您输入的问题将替换脚本中的默认问题,确保问题与所选模型兼容
|
||||
"""
|
||||
)
|
||||
|
||||
|
||||
return app
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 创建并启动应用
|
||||
app = create_ui()
|
||||
app.queue().launch(share=True)
|
||||
app.queue().launch(share=True)
|
||||
|
||||
@@ -81,6 +81,11 @@ def construct_society(question: str) -> OwlRolePlaying:
|
||||
model_type=ModelType.DEEPSEEK_CHAT,
|
||||
model_config_dict={"temperature": 0},
|
||||
),
|
||||
"document": ModelFactory.create(
|
||||
model_platform=ModelPlatformType.DEEPSEEK,
|
||||
model_type=ModelType.DEEPSEEK_CHAT,
|
||||
model_config_dict={"temperature": 0},
|
||||
),
|
||||
}
|
||||
|
||||
# Configure toolkits
|
||||
@@ -89,7 +94,7 @@ def construct_society(question: str) -> OwlRolePlaying:
|
||||
SearchToolkit().search_duckduckgo,
|
||||
SearchToolkit().search_wiki,
|
||||
*ExcelToolkit().get_tools(),
|
||||
*DocumentProcessingToolkit().get_tools(),
|
||||
*DocumentProcessingToolkit(model=models["document"]).get_tools(),
|
||||
]
|
||||
|
||||
# Configure agent roles and parameters
|
||||
|
||||
@@ -1,3 +1,16 @@
|
||||
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
|
||||
# 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.
|
||||
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
|
||||
import os
|
||||
import sys
|
||||
import importlib.util
|
||||
@@ -5,6 +18,7 @@ import re
|
||||
from pathlib import Path
|
||||
import traceback
|
||||
|
||||
|
||||
def load_module_from_path(module_name, file_path):
|
||||
"""从文件路径加载Python模块"""
|
||||
try:
|
||||
@@ -12,7 +26,7 @@ def load_module_from_path(module_name, file_path):
|
||||
if spec is None:
|
||||
print(f"错误: 无法从 {file_path} 创建模块规范")
|
||||
return None
|
||||
|
||||
|
||||
module = importlib.util.module_from_spec(spec)
|
||||
sys.modules[module_name] = module
|
||||
spec.loader.exec_module(module)
|
||||
@@ -22,6 +36,7 @@ def load_module_from_path(module_name, file_path):
|
||||
traceback.print_exc()
|
||||
return None
|
||||
|
||||
|
||||
def run_script_with_env_question(script_name):
|
||||
"""使用环境变量中的问题运行脚本"""
|
||||
# 获取环境变量中的问题
|
||||
@@ -29,16 +44,16 @@ def run_script_with_env_question(script_name):
|
||||
if not question:
|
||||
print("错误: 未设置OWL_QUESTION环境变量")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
# 脚本路径
|
||||
script_path = Path(script_name).resolve()
|
||||
if not script_path.exists():
|
||||
print(f"错误: 脚本 {script_path} 不存在")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
# 创建临时文件路径
|
||||
temp_script_path = script_path.with_name(f"temp_{script_path.name}")
|
||||
|
||||
|
||||
try:
|
||||
# 读取脚本内容
|
||||
try:
|
||||
@@ -47,44 +62,55 @@ def run_script_with_env_question(script_name):
|
||||
except Exception as e:
|
||||
print(f"读取脚本文件时出错: {e}")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
# 检查脚本是否有main函数
|
||||
has_main = re.search(r'def\s+main\s*\(\s*\)\s*:', content) is not None
|
||||
|
||||
has_main = re.search(r"def\s+main\s*\(\s*\)\s*:", content) is not None
|
||||
|
||||
# 转义问题中的特殊字符
|
||||
escaped_question = question.replace("\\", "\\\\").replace("\"", "\\\"").replace("'", "\\'")
|
||||
|
||||
escaped_question = (
|
||||
question.replace("\\", "\\\\").replace('"', '\\"').replace("'", "\\'")
|
||||
)
|
||||
|
||||
# 查找脚本中所有的question赋值 - 改进的正则表达式
|
||||
# 匹配单行和多行字符串赋值
|
||||
question_assignments = re.findall(r'question\s*=\s*(?:["\'].*?["\']|""".*?"""|\'\'\'.*?\'\'\'|\(.*?\))', content, re.DOTALL)
|
||||
question_assignments = re.findall(
|
||||
r'question\s*=\s*(?:["\'].*?["\']|""".*?"""|\'\'\'.*?\'\'\'|\(.*?\))',
|
||||
content,
|
||||
re.DOTALL,
|
||||
)
|
||||
print(f"在脚本中找到 {len(question_assignments)} 个question赋值")
|
||||
|
||||
|
||||
# 修改脚本内容,替换所有的question赋值
|
||||
modified_content = content
|
||||
|
||||
|
||||
# 如果脚本中有question赋值,替换所有的赋值
|
||||
if question_assignments:
|
||||
for assignment in question_assignments:
|
||||
modified_content = modified_content.replace(
|
||||
assignment,
|
||||
f'question = "{escaped_question}"'
|
||||
assignment, f'question = "{escaped_question}"'
|
||||
)
|
||||
print(f"已替换脚本中的所有question赋值为: {question}")
|
||||
else:
|
||||
# 如果没有找到question赋值,尝试在main函数前插入
|
||||
if has_main:
|
||||
main_match = re.search(r'def\s+main\s*\(\s*\)\s*:', content)
|
||||
main_match = re.search(r"def\s+main\s*\(\s*\)\s*:", content)
|
||||
if main_match:
|
||||
insert_pos = main_match.start()
|
||||
modified_content = content[:insert_pos] + f'\n# 用户输入的问题\nquestion = "{escaped_question}"\n\n' + content[insert_pos:]
|
||||
modified_content = (
|
||||
content[:insert_pos]
|
||||
+ f'\n# 用户输入的问题\nquestion = "{escaped_question}"\n\n'
|
||||
+ content[insert_pos:]
|
||||
)
|
||||
print(f"已在main函数前插入问题: {question}")
|
||||
else:
|
||||
# 如果没有main函数,在文件开头插入
|
||||
modified_content = f'# 用户输入的问题\nquestion = "{escaped_question}"\n\n' + content
|
||||
modified_content = (
|
||||
f'# 用户输入的问题\nquestion = "{escaped_question}"\n\n' + content
|
||||
)
|
||||
print(f"已在文件开头插入问题: {question}")
|
||||
|
||||
|
||||
# 添加monkey patch代码,确保construct_society函数使用用户的问题
|
||||
monkey_patch_code = f'''
|
||||
monkey_patch_code = f"""
|
||||
# 确保construct_society函数使用用户的问题
|
||||
original_construct_society = globals().get('construct_society')
|
||||
if original_construct_society:
|
||||
@@ -95,24 +121,28 @@ if original_construct_society:
|
||||
# 替换原始函数
|
||||
globals()['construct_society'] = patched_construct_society
|
||||
print("已修补construct_society函数,确保使用用户问题")
|
||||
'''
|
||||
|
||||
"""
|
||||
|
||||
# 在文件末尾添加monkey patch代码
|
||||
modified_content += monkey_patch_code
|
||||
|
||||
|
||||
# 如果脚本没有调用main函数,添加调用代码
|
||||
if has_main and "__main__" not in content:
|
||||
modified_content += '''
|
||||
modified_content += """
|
||||
|
||||
# 确保调用main函数
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
'''
|
||||
"""
|
||||
print("已添加main函数调用代码")
|
||||
|
||||
|
||||
# 如果脚本没有construct_society调用,添加调用代码
|
||||
if "construct_society" in content and "run_society" in content and "Answer:" not in content:
|
||||
modified_content += f'''
|
||||
if (
|
||||
"construct_society" in content
|
||||
and "run_society" in content
|
||||
and "Answer:" not in content
|
||||
):
|
||||
modified_content += f"""
|
||||
|
||||
# 确保执行construct_society和run_society
|
||||
if "construct_society" in globals() and "run_society" in globals():
|
||||
@@ -125,16 +155,16 @@ if "construct_society" in globals() and "run_society" in globals():
|
||||
print(f"运行时出错: {{e}}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
'''
|
||||
"""
|
||||
print("已添加construct_society和run_society调用代码")
|
||||
|
||||
|
||||
# 执行修改后的脚本
|
||||
try:
|
||||
# 将脚本目录添加到sys.path
|
||||
script_dir = script_path.parent
|
||||
if str(script_dir) not in sys.path:
|
||||
sys.path.insert(0, str(script_dir))
|
||||
|
||||
|
||||
# 创建临时文件
|
||||
try:
|
||||
with open(temp_script_path, "w", encoding="utf-8") as f:
|
||||
@@ -143,32 +173,34 @@ if "construct_society" in globals() and "run_society" in globals():
|
||||
except Exception as e:
|
||||
print(f"创建临时脚本文件时出错: {e}")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
try:
|
||||
# 直接执行临时脚本
|
||||
print(f"开始执行脚本...")
|
||||
|
||||
print("开始执行脚本...")
|
||||
|
||||
# 如果有main函数,加载模块并调用main
|
||||
if has_main:
|
||||
# 加载临时模块
|
||||
module_name = f"temp_{script_path.stem}"
|
||||
module = load_module_from_path(module_name, temp_script_path)
|
||||
|
||||
|
||||
if module is None:
|
||||
print(f"错误: 无法加载模块 {module_name}")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
# 确保模块中有question变量,并且值是用户输入的问题
|
||||
setattr(module, "question", question)
|
||||
|
||||
|
||||
# 如果模块中有construct_society函数,修补它
|
||||
if hasattr(module, "construct_society"):
|
||||
original_func = module.construct_society
|
||||
|
||||
def patched_func(*args, **kwargs):
|
||||
return original_func(question)
|
||||
|
||||
module.construct_society = patched_func
|
||||
print("已在模块级别修补construct_society函数")
|
||||
|
||||
|
||||
# 调用main函数
|
||||
if hasattr(module, "main"):
|
||||
print("调用main函数...")
|
||||
@@ -182,34 +214,35 @@ if "construct_society" in globals() and "run_society" in globals():
|
||||
# 使用更安全的方式执行脚本
|
||||
with open(temp_script_path, "r", encoding="utf-8") as f:
|
||||
script_code = f.read()
|
||||
|
||||
|
||||
# 创建一个安全的全局命名空间
|
||||
safe_globals = {
|
||||
"__file__": str(temp_script_path),
|
||||
"__name__": "__main__"
|
||||
"__name__": "__main__",
|
||||
}
|
||||
# 添加内置函数
|
||||
safe_globals.update({k: v for k, v in globals().items()
|
||||
if k in ['__builtins__']})
|
||||
|
||||
safe_globals.update(
|
||||
{k: v for k, v in globals().items() if k in ["__builtins__"]}
|
||||
)
|
||||
|
||||
# 执行脚本
|
||||
exec(script_code, safe_globals)
|
||||
|
||||
|
||||
except Exception as e:
|
||||
print(f"执行脚本时出错: {e}")
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
except Exception as e:
|
||||
print(f"处理脚本时出错: {e}")
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
except Exception as e:
|
||||
print(f"处理脚本时出错: {e}")
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
finally:
|
||||
# 删除临时文件
|
||||
if temp_script_path.exists():
|
||||
@@ -219,11 +252,12 @@ if "construct_society" in globals() and "run_society" in globals():
|
||||
except Exception as e:
|
||||
print(f"删除临时脚本文件时出错: {e}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 检查命令行参数
|
||||
if len(sys.argv) < 2:
|
||||
print("用法: python script_adapter.py <script_path>")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
# 运行指定的脚本
|
||||
run_script_with_env_question(sys.argv[1])
|
||||
run_script_with_env_question(sys.argv[1])
|
||||
|
||||
@@ -17,6 +17,7 @@ from camel.toolkits.function_tool import FunctionTool
|
||||
from camel.toolkits import ImageAnalysisToolkit, ExcelToolkit
|
||||
from camel.utils import retry_on_error
|
||||
from camel.logger import get_logger
|
||||
from camel.models import BaseModelBackend
|
||||
from docx2markdown._docx_to_markdown import docx_to_markdown
|
||||
from chunkr_ai import Chunkr
|
||||
import requests
|
||||
@@ -40,8 +41,10 @@ class DocumentProcessingToolkit(BaseToolkit):
|
||||
This class provides method for processing docx, pdf, pptx, etc. It cannot process excel files.
|
||||
"""
|
||||
|
||||
def __init__(self, cache_dir: Optional[str] = None):
|
||||
self.image_tool = ImageAnalysisToolkit()
|
||||
def __init__(
|
||||
self, cache_dir: Optional[str] = None, model: Optional[BaseModelBackend] = None
|
||||
):
|
||||
self.image_tool = ImageAnalysisToolkit(model=model)
|
||||
# self.audio_tool = AudioAnalysisToolkit()
|
||||
self.excel_tool = ExcelToolkit()
|
||||
|
||||
|
||||
28
run_app.py
28
run_app.py
@@ -1,3 +1,16 @@
|
||||
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
|
||||
# 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.
|
||||
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
@@ -9,26 +22,27 @@ import os
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
def main():
|
||||
"""主函数,启动OWL智能助手运行平台"""
|
||||
# 确保当前目录是项目根目录
|
||||
project_root = Path(__file__).resolve().parent
|
||||
os.chdir(project_root)
|
||||
|
||||
|
||||
# 创建日志目录
|
||||
log_dir = project_root / "logs"
|
||||
log_dir.mkdir(exist_ok=True)
|
||||
|
||||
|
||||
# 导入并运行应用
|
||||
sys.path.insert(0, str(project_root))
|
||||
|
||||
|
||||
try:
|
||||
from owl.app import create_ui
|
||||
|
||||
|
||||
# 创建并启动应用
|
||||
app = create_ui()
|
||||
app.queue().launch(share=False)
|
||||
|
||||
|
||||
except ImportError as e:
|
||||
print(f"错误: 无法导入必要的模块。请确保已安装所有依赖项: {e}")
|
||||
print("提示: 运行 'pip install -r requirements.txt' 安装所有依赖项")
|
||||
@@ -36,8 +50,10 @@ def main():
|
||||
except Exception as e:
|
||||
print(f"启动应用程序时出错: {e}")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
main()
|
||||
|
||||
Reference in New Issue
Block a user