支持自然语言修改项目本身的配置
This commit is contained in:
qingxu fu
parent
2fa3d47887
commit
31ff6e1e7a
@ -25,7 +25,7 @@ def get_crazy_functions():
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from crazy_functions.对话历史存档 import 载入对话历史存档
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from crazy_functions.对话历史存档 import 删除所有本地对话历史记录
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from crazy_functions.辅助功能 import 清除缓存
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from crazy_functions.批量Markdown翻译 import Markdown英译中
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function_plugins = {
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"解析整个Python项目": {
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@ -34,11 +34,11 @@ def get_crazy_functions():
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},
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"载入对话历史存档（先上传存档或输入路径）": {
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"Color": "stop",
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"AsButton":False,
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"AsButton": False,
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"Function": HotReload(载入对话历史存档)
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},
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"删除所有本地对话历史记录（请谨慎操作）": {
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"AsButton":False,
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"AsButton": False,
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"Function": HotReload(删除所有本地对话历史记录)
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},
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"清除所有缓存文件（请谨慎操作）": {
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@ -48,10 +48,10 @@ def get_crazy_functions():
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},
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"解析Jupyter Notebook文件": {
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"Color": "stop",
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"AsButton":False,
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"AsButton": False,
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"Function": HotReload(解析ipynb文件),
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"AdvancedArgs": True, # 调用时，唤起高级参数输入区（默认False）
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"ArgsReminder": "若输入0，则不解析notebook中的Markdown块", # 高级参数输入区的显示提示
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"AdvancedArgs": True, # 调用时，唤起高级参数输入区（默认False）
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"ArgsReminder": "若输入0，则不解析notebook中的Markdown块", # 高级参数输入区的显示提示
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},
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"批量总结Word文档": {
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"Color": "stop",
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@ -255,8 +255,8 @@ def get_crazy_functions():
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"解析项目源代码（手动指定和筛选源代码文件类型）": {
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"Color": "stop",
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"AsButton": False,
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"AdvancedArgs": True, # 调用时，唤起高级参数输入区（默认False）
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"ArgsReminder": "输入时用逗号隔开, *代表通配符, 加了^代表不匹配; 不输入代表全部匹配。例如: \"*.c, ^*.cpp, config.toml, ^*.toml\"", # 高级参数输入区的显示提示
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"AdvancedArgs": True, # 调用时，唤起高级参数输入区（默认False）
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"ArgsReminder": "输入时用逗号隔开, *代表通配符, 加了^代表不匹配; 不输入代表全部匹配。例如: \"*.c, ^*.cpp, config.toml, ^*.toml\"", # 高级参数输入区的显示提示
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"Function": HotReload(解析任意code项目)
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},
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})
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@ -269,8 +269,8 @@ def get_crazy_functions():
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"询问多个GPT模型（手动指定询问哪些模型）": {
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"Color": "stop",
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"AsButton": False,
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"AdvancedArgs": True, # 调用时，唤起高级参数输入区（默认False）
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"ArgsReminder": "支持任意数量的llm接口，用&符号分隔。例如chatglm&gpt-3.5-turbo&api2d-gpt-4", # 高级参数输入区的显示提示
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"AdvancedArgs": True, # 调用时，唤起高级参数输入区（默认False）
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"ArgsReminder": "支持任意数量的llm接口，用&符号分隔。例如chatglm&gpt-3.5-turbo&api2d-gpt-4", # 高级参数输入区的显示提示
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"Function": HotReload(同时问询_指定模型)
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},
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})
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@ -283,8 +283,8 @@ def get_crazy_functions():
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"图片生成（先切换模型到openai或api2d）": {
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"Color": "stop",
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"AsButton": False,
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"AdvancedArgs": True, # 调用时，唤起高级参数输入区（默认False）
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"ArgsReminder": "在这里输入分辨率, 如256x256（默认）", # 高级参数输入区的显示提示
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"AdvancedArgs": True, # 调用时，唤起高级参数输入区（默认False）
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"ArgsReminder": "在这里输入分辨率, 如256x256（默认）", # 高级参数输入区的显示提示
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"Function": HotReload(图片生成)
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},
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})
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@ -358,7 +358,7 @@ def get_crazy_functions():
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})
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except:
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print('Load function plugin failed')
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try:
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from crazy_functions.交互功能函数模板 import 交互功能模板函数
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function_plugins.update({
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@ -402,9 +402,10 @@ def get_crazy_functions():
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"Color": "stop",
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"AsButton": False,
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"AdvancedArgs": True,
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"ArgsReminder":
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"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 "+
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"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " + 'If the term "agent" is used in this section, it should be translated to "智能体". ',
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"ArgsReminder":
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"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 " +
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"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " +
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'If the term "agent" is used in this section, it should be translated to "智能体". ',
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"Function": HotReload(Latex翻译中文并重新编译PDF)
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}
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})
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@ -413,16 +414,16 @@ def get_crazy_functions():
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"Color": "stop",
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"AsButton": False,
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"AdvancedArgs": True,
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"ArgsReminder":
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"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 "+
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"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " + 'If the term "agent" is used in this section, it should be translated to "智能体". ',
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"ArgsReminder":
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"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 " +
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"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " +
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'If the term "agent" is used in this section, it should be translated to "智能体". ',
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"Function": HotReload(Latex翻译中文并重新编译PDF)
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}
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})
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except:
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print('Load function plugin failed')
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try:
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from toolbox import get_conf
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ENABLE_AUDIO, = get_conf('ENABLE_AUDIO')
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@ -437,19 +438,17 @@ def get_crazy_functions():
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})
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except:
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print('Load function plugin failed')
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# try:
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# from crazy_functions.虚空终端 import 终端
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# function_plugins.update({
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# "超级终端": {
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# "Color": "stop",
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# "AsButton": False,
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# # "AdvancedArgs": True,
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# # "ArgsReminder": "",
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# "Function": HotReload(终端)
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# }
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# })
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# except:
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# print('Load function plugin failed')
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try:
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from crazy_functions.虚空终端 import 自动终端
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function_plugins.update({
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"自动终端": {
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"Color": "stop",
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"AsButton": False,
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"Function": HotReload(自动终端)
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}
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})
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except:
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print('Load function plugin failed')
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return function_plugins
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100
crazy_functions/json_fns/pydantic_io.py
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100
crazy_functions/json_fns/pydantic_io.py
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@ -0,0 +1,100 @@
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"""
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https://github.com/langchain-ai/langchain/blob/master/docs/extras/modules/model_io/output_parsers/pydantic.ipynb
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Example 1.
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# Define your desired data structure.
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class Joke(BaseModel):
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setup: str = Field(description="question to set up a joke")
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punchline: str = Field(description="answer to resolve the joke")
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# You can add custom validation logic easily with Pydantic.
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@validator("setup")
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def question_ends_with_question_mark(cls, field):
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if field[-1] != "?":
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raise ValueError("Badly formed question!")
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return field
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Example 2.
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# Here's another example, but with a compound typed field.
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class Actor(BaseModel):
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name: str = Field(description="name of an actor")
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film_names: List[str] = Field(description="list of names of films they starred in")
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"""
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import json, re, logging
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PYDANTIC_FORMAT_INSTRUCTIONS = """The output should be formatted as a JSON instance that conforms to the JSON schema below.
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As an example, for the schema {{"properties": {{"foo": {{"title": "Foo", "description": "a list of strings", "type": "array", "items": {{"type": "string"}}}}}}, "required": ["foo"]}}
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the object {{"foo": ["bar", "baz"]}} is a well-formatted instance of the schema. The object {{"properties": {{"foo": ["bar", "baz"]}}}} is not well-formatted.
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Here is the output schema:
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```
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{schema}
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```"""
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class GptJsonIO():
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def __init__(self, schema):
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self.pydantic_object = schema
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self.format_instructions = self.generate_format_instructions()
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def generate_format_instructions(self):
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schema = self.pydantic_object.schema()
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# Remove extraneous fields.
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reduced_schema = schema
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if "title" in reduced_schema:
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del reduced_schema["title"]
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if "type" in reduced_schema:
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del reduced_schema["type"]
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# Ensure json in context is well-formed with double quotes.
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schema_str = json.dumps(reduced_schema)
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return PYDANTIC_FORMAT_INSTRUCTIONS.format(schema=schema_str)
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def generate_output(self, text):
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# Greedy search for 1st json candidate.
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match = re.search(
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r"\{.*\}", text.strip(), re.MULTILINE | re.IGNORECASE | re.DOTALL
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)
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json_str = ""
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if match: json_str = match.group()
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json_object = json.loads(json_str, strict=False)
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final_object = self.pydantic_object.parse_obj(json_object)
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return final_object
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def generate_repair_prompt(self, broken_json, error):
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prompt = "Fix a broken json string.\n\n" + \
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"(1) The broken json string need to fix is: \n\n" + \
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"```" + "\n" + \
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broken_json + "\n" + \
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"```" + "\n\n" + \
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"(2) The error message is: \n\n" + \
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error + "\n\n" + \
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"Now, fix this json string. \n\n"
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return prompt
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def generate_output_auto_repair(self, response, gpt_gen_fn):
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"""
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response: string containing canidate json
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gpt_gen_fn: gpt_gen_fn(inputs, sys_prompt)
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"""
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try:
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result = self.generate_output(response)
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except Exception as e:
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try:
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logging.info(f'Repairing json：{response}')
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repair_prompt = self.generate_repair_prompt(broken_json = response, error=repr(e))
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result = self.generate_output(gpt_gen_fn(repair_prompt, self.generate_format_instructions()))
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logging.info('Repaire json success.')
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except Exception as e:
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# 没辙了，放弃治疗
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logging.info('Repaire json fail.')
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raise RuntimeError('Cannot repair json.', str(e))
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return result
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66
crazy_functions/vt_fns/vt_modify_config.py
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66
crazy_functions/vt_fns/vt_modify_config.py
Normal file
@ -0,0 +1,66 @@
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from pydantic import BaseModel, Field
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from typing import List
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from toolbox import update_ui_lastest_msg
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from request_llm.bridge_all import predict_no_ui_long_connection
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from crazy_functions.json_fns.pydantic_io import GptJsonIO
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import copy, json, pickle, os, sys
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def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
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import config
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# ⭐ ⭐ ⭐ 读取可配置项目条目
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from enum import Enum
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names = {}
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for k, v in config.__dict__.items():
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if k.startswith('__'): continue
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names.update({k:k})
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# if len(names) > 20: break # 限制最多前10个配置项，如果太多了会导致gpt无法理解
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ConfigOptions = Enum('ConfigOptions', names)
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class ModifyConfigurationIntention(BaseModel):
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which_config_to_modify: ConfigOptions = Field(description="the name of the configuration to modify, you must choose from one of the ConfigOptions enum.", default=None)
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new_option_value: str = Field(description="the new value of the option", default=None)
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# ⭐ ⭐ ⭐ 分析用户意图
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yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n读取新配置中", chatbot=chatbot, history=history, delay=0)
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gpt_json_io = GptJsonIO(ModifyConfigurationIntention)
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inputs = "Analyze how to change configuration according to following user input, answer me with json: \n\n" + \
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">>" + txt + '\n\n' + \
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gpt_json_io.format_instructions
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run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection(
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inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
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user_intention = gpt_json_io.generate_output_auto_repair(run_gpt_fn(inputs, ""), run_gpt_fn)
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explicit_conf = user_intention.which_config_to_modify.value
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ok = (explicit_conf in txt)
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if ok:
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yield from update_ui_lastest_msg(
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lastmsg=f"正在执行任务: {txt}\n\n新配置{explicit_conf}={user_intention.new_option_value}",
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chatbot=chatbot, history=history, delay=1
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)
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yield from update_ui_lastest_msg(
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lastmsg=f"正在执行任务: {txt}\n\n新配置{explicit_conf}={user_intention.new_option_value}\n\n正在修改配置中",
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chatbot=chatbot, history=history, delay=2
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)
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# ⭐ ⭐ ⭐ 立即应用配置
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from toolbox import set_conf
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set_conf(explicit_conf, user_intention.new_option_value)
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yield from update_ui_lastest_msg(
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lastmsg=f"正在执行任务: {txt}\n\n配置修改完成，重新页面即可生效。", chatbot=chatbot, history=history, delay=1
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)
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else:
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yield from update_ui_lastest_msg(
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lastmsg=f"失败，如果需要配置{explicit_conf}，您需要明确说明并在指令中提到它。", chatbot=chatbot, history=history, delay=5
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)
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def modify_configuration_reboot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
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yield from modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention)
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yield from update_ui_lastest_msg(
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lastmsg=f"正在执行任务: {txt}\n\n配置修改完成，五秒后即将重启！若出现报错请无视即可。", chatbot=chatbot, history=history, delay=5
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)
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os.execl(sys.executable, sys.executable, *sys.argv)
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@ -1,119 +1,108 @@
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from pydantic import BaseModel, Field
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from typing import List
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from toolbox import CatchException, update_ui, gen_time_str
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from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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from .crazy_utils import input_clipping
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import copy, json
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from toolbox import update_ui_lastest_msg
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from request_llm.bridge_all import predict_no_ui_long_connection
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from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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from crazy_functions.crazy_utils import input_clipping
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from crazy_functions.json_fns.pydantic_io import GptJsonIO
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from crazy_functions.vt_fns.vt_modify_config import modify_configuration_hot
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from crazy_functions.vt_fns.vt_modify_config import modify_configuration_reboot
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from enum import Enum
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import copy, json, pickle, os, sys
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def get_fn_lib():
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return {
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"BatchTranslatePDFDocuments_MultiThreaded": {
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"module": "crazy_functions.批量翻译PDF文档_多线程",
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"function": "批量翻译PDF文档",
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"description": "Translate PDF Documents",
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"arg_1_description": "A path containing pdf files.",
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},
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"SummarizingWordDocuments": {
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"module": "crazy_functions.总结word文档",
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"function": "总结word文档",
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"description": "Summarize Word Documents",
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"arg_1_description": "A path containing Word files.",
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},
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"ImageGeneration": {
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"module": "crazy_functions.图片生成",
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"function": "图片生成",
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"description": "Generate a image that satisfies some description.",
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"arg_1_description": "Descriptions about the image to be generated.",
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},
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"TranslateMarkdownFromEnglishToChinese": {
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"module": "crazy_functions.批量Markdown翻译",
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"function": "Markdown中译英",
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"description": "Translate Markdown Documents from English to Chinese.",
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"arg_1_description": "A path containing Markdown files.",
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||||
},
|
||||
"SummaryAudioVideo": {
|
||||
"module": "crazy_functions.总结音视频",
|
||||
"function": "总结音视频",
|
||||
"description": "Get text from a piece of audio and summarize this audio.",
|
||||
"arg_1_description": "A path containing audio files.",
|
||||
},
|
||||
}
|
||||
class IntentionEnum(str, Enum):
|
||||
ModifyConfiguration = 'ModifyConfiguration'
|
||||
ExecutePlugin = 'ExecutePlugin'
|
||||
Chat = 'Chat'
|
||||
|
||||
functions = [
|
||||
{
|
||||
"name": k,
|
||||
"description": v['description'],
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"plugin_arg_1": {
|
||||
"type": "string",
|
||||
"description": v['arg_1_description'],
|
||||
},
|
||||
},
|
||||
"required": ["plugin_arg_1"],
|
||||
},
|
||||
} for k, v in get_fn_lib().items()
|
||||
]
|
||||
class UserIntention(BaseModel):
|
||||
user_prompt: str = Field(description="the content of user input", default="")
|
||||
intention_type: IntentionEnum = Field(description="the type of user intention", default=IntentionEnum.Chat)
|
||||
user_provide_file: bool = Field(description="whether the user provides a path to a file", default=False)
|
||||
user_provide_url: bool = Field(description="whether the user provides a url", default=False)
|
||||
|
||||
def inspect_dependency(chatbot, history):
|
||||
return True
|
||||
def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
|
||||
# 没写完
|
||||
pass
|
||||
|
||||
def eval_code(code, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
import importlib
|
||||
try:
|
||||
tmp = get_fn_lib()[code['name']]
|
||||
fp, fn = tmp['module'], tmp['function']
|
||||
fn_plugin = getattr(importlib.import_module(fp, fn), fn)
|
||||
arg = json.loads(code['arguments'])['plugin_arg_1']
|
||||
yield from fn_plugin(arg, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port)
|
||||
except:
|
||||
from toolbox import trimmed_format_exc
|
||||
chatbot.append(["执行错误", f"\n```\n{trimmed_format_exc()}\n```\n"])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
def get_code_block(reply):
|
||||
import re
|
||||
pattern = r"```([\s\S]*?)```" # regex pattern to match code blocks
|
||||
matches = re.findall(pattern, reply) # find all code blocks in text
|
||||
if len(matches) != 1:
|
||||
raise RuntimeError("GPT is not generating proper code.")
|
||||
return matches[0].strip('python') # code block
|
||||
def chat(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
|
||||
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
|
||||
inputs=txt, inputs_show_user=txt,
|
||||
llm_kwargs=llm_kwargs, chatbot=chatbot, history=[],
|
||||
sys_prompt=system_prompt
|
||||
)
|
||||
chatbot[-1] = [txt, gpt_say]
|
||||
history.extend([txt, gpt_say])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
pass
|
||||
|
||||
@CatchException
|
||||
def 终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
def 自动终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
"""
|
||||
txt 输入栏用户输入的文本, 例如需要翻译的一段话, 再例如一个包含了待处理文件的路径
|
||||
txt 输入栏用户输入的文本，例如需要翻译的一段话，再例如一个包含了待处理文件的路径
|
||||
llm_kwargs gpt模型参数, 如温度和top_p等, 一般原样传递下去就行
|
||||
plugin_kwargs 插件模型的参数, 暂时没有用武之地
|
||||
chatbot 聊天显示框的句柄, 用于显示给用户
|
||||
history 聊天历史, 前情提要
|
||||
plugin_kwargs 插件模型的参数, 如温度和top_p等, 一般原样传递下去就行
|
||||
chatbot 聊天显示框的句柄，用于显示给用户
|
||||
history 聊天历史，前情提要
|
||||
system_prompt 给gpt的静默提醒
|
||||
web_port 当前软件运行的端口号
|
||||
"""
|
||||
# 清空历史, 以免输入溢出
|
||||
history = []
|
||||
|
||||
# 基本信息：功能、贡献者
|
||||
chatbot.append(["虚空终端插件的功能？", "根据自然语言的描述, 执行任意插件的命令."])
|
||||
history = [] # 清空历史，以免输入溢出
|
||||
chatbot.append(("自动终端状态: ", f"正在执行任务: {txt}"))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
# 输入
|
||||
i_say = txt
|
||||
# 开始
|
||||
llm_kwargs_function_call = copy.deepcopy(llm_kwargs)
|
||||
llm_kwargs_function_call['llm_model'] = 'gpt-call-fn' # 修改调用函数
|
||||
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
|
||||
inputs=i_say, inputs_show_user=txt,
|
||||
llm_kwargs=llm_kwargs_function_call, chatbot=chatbot, history=[],
|
||||
sys_prompt=functions
|
||||
)
|
||||
|
||||
# 将代码转为动画
|
||||
res = json.loads(gpt_say)['choices'][0]
|
||||
if res['finish_reason'] == 'function_call':
|
||||
code = json.loads(gpt_say)['choices'][0]
|
||||
yield from eval_code(code['message']['function_call'], llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port)
|
||||
else:
|
||||
chatbot.append(["无法调用相关功能", res])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
# 初始化插件状态
|
||||
state = chatbot._cookies.get('plugin_state', None)
|
||||
if state is not None: state = pickle.loads(state)
|
||||
else: state = {}
|
||||
|
||||
def update_vt_state():
|
||||
# 赋予插件锁定 锁定插件回调路径，当下一次用户提交时，会直接转到该函数
|
||||
chatbot._cookies['lock_plugin'] = 'crazy_functions.虚空终端->自动终端'
|
||||
chatbot._cookies['vt_state'] = pickle.dumps(state)
|
||||
|
||||
# ⭐ ⭐ ⭐ 分析用户意图
|
||||
yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n分析用户意图中", chatbot=chatbot, history=history, delay=0)
|
||||
gpt_json_io = GptJsonIO(UserIntention)
|
||||
inputs = "Analyze the intention of the user according to following user input: \n\n" + txt + '\n\n' + gpt_json_io.format_instructions
|
||||
run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection(
|
||||
inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
|
||||
user_intention = gpt_json_io.generate_output_auto_repair(run_gpt_fn(inputs, ""), run_gpt_fn)
|
||||
|
||||
# 用户意图: 修改本项目的配置
|
||||
if user_intention.intention_type == IntentionEnum.ModifyConfiguration:
|
||||
yield from modify_configuration_reboot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention)
|
||||
|
||||
# 用户意图: 调度插件
|
||||
if user_intention.intention_type == IntentionEnum.ExecutePlugin:
|
||||
yield from execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention)
|
||||
|
||||
# 用户意图: 聊天
|
||||
if user_intention.intention_type == IntentionEnum.Chat:
|
||||
yield from chat(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention)
|
||||
|
||||
# update_vt_state()
|
||||
|
||||
return
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# # if state == 'wait_user_keyword':
|
||||
# # chatbot._cookies['lock_plugin'] = None # 解除插件锁定，避免遗忘导致死锁
|
||||
# # chatbot._cookies['plugin_state_0001'] = None # 解除插件状态，避免遗忘导致死锁
|
||||
|
||||
# # # 解除插件锁定
|
||||
# # chatbot.append((f"获取关键词：{txt}", ""))
|
||||
# # yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
# # inputs=inputs_show_user=f"Extract all image urls in this html page, pick the first 5 images and show them with markdown format: \n\n {page_return}"
|
||||
# # gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
|
||||
# # inputs=inputs, inputs_show_user=inputs_show_user,
|
||||
# # llm_kwargs=llm_kwargs, chatbot=chatbot, history=[],
|
||||
# # sys_prompt="When you want to show an image, use markdown format. e.g. . If there are no image url provided, answer 'no image url provided'"
|
||||
# # )
|
||||
# # chatbot[-1] = [chatbot[-1][0], gpt_say]
|
||||
# yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
# return
|
||||
|
||||
@ -9,6 +9,8 @@ validate_path() # 返回项目根路径
|
||||
from tests.test_utils import plugin_test
|
||||
|
||||
if __name__ == "__main__":
|
||||
plugin_test(plugin='crazy_functions.虚空终端->自动终端', main_input='修改api-key为sk-jhoejriotherjep')
|
||||
|
||||
# plugin_test(plugin='crazy_functions.命令行助手->命令行助手', main_input='查看当前的docker容器列表')
|
||||
|
||||
# plugin_test(plugin='crazy_functions.解析项目源代码->解析一个Python项目', main_input="crazy_functions/test_project/python/dqn")
|
||||
@ -19,7 +21,7 @@ if __name__ == "__main__":
|
||||
|
||||
# plugin_test(plugin='crazy_functions.批量Markdown翻译->Markdown中译英', main_input="README.md")
|
||||
|
||||
plugin_test(plugin='crazy_functions.批量翻译PDF文档_多线程->批量翻译PDF文档', main_input='crazy_functions/test_project/pdf_and_word/aaai.pdf')
|
||||
# plugin_test(plugin='crazy_functions.批量翻译PDF文档_多线程->批量翻译PDF文档', main_input='crazy_functions/test_project/pdf_and_word/aaai.pdf')
|
||||
|
||||
# plugin_test(plugin='crazy_functions.谷歌检索小助手->谷歌检索小助手', main_input="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=auto+reinforcement+learning&btnG=")
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user