镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
update
这个提交包含在：
青轩
@@ -3,29 +3,15 @@ from toolbox import trimmed_format_exc
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from loguru import logger
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def get_crazy_functions():
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from crazy_functions.SourceCode_Analyse import 解析项目本身
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from crazy_functions.AntFin import AntFinTest
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function_plugins = {
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"多媒体智能体": {
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"蚂小财测试": {
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"Group": "智能体",
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"Color": "stop",
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"AsButton": False,
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"Info": "【仅测试】多媒体任务",
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"Function": HotReload(多媒体任务),
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},
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"虚空终端": {
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"Group": "对话|编程|学术|智能体",
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"Color": "stop",
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"AsButton": True,
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"Info": "使用自然语言实现您的想法",
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"Function": HotReload(虚空终端),
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},
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"解析整个Python项目": {
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"Group": "编程",
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"Color": "stop",
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"AsButton": True,
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"Info": "解析一个Python项目的所有源文件(.py) | 输入参数为路径",
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"Function": HotReload(解析一个Python项目),
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"Info": "蚂小财测试",
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"Function": HotReload(AntFinTest),
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},
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}
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@@ -50,8 +36,6 @@ def get_crazy_functions():
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return function_plugins
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def get_multiplex_button_functions():
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"""多路复用主提交按钮的功能映射
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"""
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@@ -59,12 +43,6 @@ def get_multiplex_button_functions():
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"常规对话":
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"",
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"多模型对话":
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"询问多个GPT模型", # 映射到上面的 `询问多个GPT模型` 插件
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"智能召回 RAG":
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"Rag智能召回", # 映射到上面的 `Rag智能召回` 插件
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"多媒体查询":
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"多媒体智能体", # 映射到上面的 `多媒体智能体` 插件
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"蚂小财测试":
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"蚂小财测试", # 映射到上面的 `询问多个GPT模型` 插件
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}
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@@ -2,275 +2,8 @@ from toolbox import CatchException, update_ui, get_conf, select_api_key, get_log
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from crazy_functions.multi_stage.multi_stage_utils import GptAcademicState
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def gen_image(llm_kwargs, prompt, resolution="1024x1024", model="dall-e-2", quality=None, style=None):
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import requests, json, time, os
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from request_llms.bridge_all import model_info
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proxies = get_conf('proxies')
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# Set up OpenAI API key and model
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api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
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chat_endpoint = model_info[llm_kwargs['llm_model']]['endpoint']
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# 'https://api.openai.com/v1/chat/completions'
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img_endpoint = chat_endpoint.replace('chat/completions','images/generations')
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# # Generate the image
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url = img_endpoint
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headers = {
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'Authorization': f"Bearer {api_key}",
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'Content-Type': 'application/json'
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}
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data = {
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'prompt': prompt,
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'n': 1,
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'size': resolution,
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'model': model,
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'response_format': 'url'
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}
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if quality is not None:
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data['quality'] = quality
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if style is not None:
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data['style'] = style
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response = requests.post(url, headers=headers, json=data, proxies=proxies)
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# logger.info(response.content)
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try:
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image_url = json.loads(response.content.decode('utf8'))['data'][0]['url']
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except:
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raise RuntimeError(response.content.decode())
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# 文件保存到本地
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r = requests.get(image_url, proxies=proxies)
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file_path = f'{get_log_folder()}/image_gen/'
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os.makedirs(file_path, exist_ok=True)
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file_name = 'Image' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.png'
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with open(file_path+file_name, 'wb+') as f: f.write(r.content)
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return image_url, file_path+file_name
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def edit_image(llm_kwargs, prompt, image_path, resolution="1024x1024", model="dall-e-2"):
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import requests, json, time, os
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from request_llms.bridge_all import model_info
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proxies = get_conf('proxies')
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api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
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chat_endpoint = model_info[llm_kwargs['llm_model']]['endpoint']
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# 'https://api.openai.com/v1/chat/completions'
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img_endpoint = chat_endpoint.replace('chat/completions','images/edits')
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# # Generate the image
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url = img_endpoint
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n = 1
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headers = {
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'Authorization': f"Bearer {api_key}",
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}
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make_transparent(image_path, image_path+'.tsp.png')
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make_square_image(image_path+'.tsp.png', image_path+'.tspsq.png')
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resize_image(image_path+'.tspsq.png', image_path+'.ready.png', max_size=1024)
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image_path = image_path+'.ready.png'
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with open(image_path, 'rb') as f:
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file_content = f.read()
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files = {
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'image': (os.path.basename(image_path), file_content),
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# 'mask': ('mask.png', open('mask.png', 'rb'))
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'prompt': (None, prompt),
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"n": (None, str(n)),
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'size': (None, resolution),
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}
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response = requests.post(url, headers=headers, files=files, proxies=proxies)
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# logger.info(response.content)
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try:
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image_url = json.loads(response.content.decode('utf8'))['data'][0]['url']
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except:
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raise RuntimeError(response.content.decode())
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# 文件保存到本地
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r = requests.get(image_url, proxies=proxies)
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file_path = f'{get_log_folder()}/image_gen/'
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os.makedirs(file_path, exist_ok=True)
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file_name = 'Image' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.png'
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with open(file_path+file_name, 'wb+') as f: f.write(r.content)
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return image_url, file_path+file_name
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@CatchException
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def 图片生成_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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"""
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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
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llm_kwargs gpt模型参数,如温度和top_p等,一般原样传递下去就行
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plugin_kwargs 插件模型的参数,暂时没有用武之地
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chatbot 聊天显示框的句柄,用于显示给用户
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history 聊天历史,前情提要
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system_prompt 给gpt的静默提醒
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user_request 当前用户的请求信息（IP地址等）
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"""
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history = [] # 清空历史,以免输入溢出
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if prompt.strip() == "":
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chatbot.append((prompt, "[Local Message] 图像生成提示为空白，请在“输入区”输入图像生成提示。"))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
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return
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chatbot.append(("您正在调用“图像生成”插件。", "[Local Message] 生成图像, 使用前请切换模型到GPT系列。如果中文Prompt效果不理想, 请尝试英文Prompt。正在处理中 ....."))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 由于请求gpt需要一段时间,我们先及时地做一次界面更新
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if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
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resolution = plugin_kwargs.get("advanced_arg", '1024x1024')
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image_url, image_path = gen_image(llm_kwargs, prompt, resolution)
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chatbot.append([prompt,
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f'图像中转网址: <br/>`{image_url}`<br/>'+
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f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>'
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f'本地文件地址: <br/>`{image_path}`<br/>'+
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f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
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])
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def AntFinTest(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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chatbot.append(("AntFin Test", "AntFin Test"))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
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@CatchException
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def 图片生成_DALLE3(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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history = [] # 清空历史,以免输入溢出
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if prompt.strip() == "":
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chatbot.append((prompt, "[Local Message] 图像生成提示为空白，请在“输入区”输入图像生成提示。"))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
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return
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chatbot.append(("您正在调用“图像生成”插件。", "[Local Message] 生成图像, 使用前请切换模型到GPT系列。如果中文Prompt效果不理想, 请尝试英文Prompt。正在处理中 ....."))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 由于请求gpt需要一段时间,我们先及时地做一次界面更新
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if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
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resolution_arg = plugin_kwargs.get("advanced_arg", '1024x1024-standard-vivid').lower()
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parts = resolution_arg.split('-')
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resolution = parts[0] # 解析分辨率
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quality = 'standard' # 质量与风格默认值
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style = 'vivid'
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# 遍历检查是否有额外参数
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for part in parts[1:]:
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if part in ['hd', 'standard']:
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quality = part
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elif part in ['vivid', 'natural']:
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style = part
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image_url, image_path = gen_image(llm_kwargs, prompt, resolution, model="dall-e-3", quality=quality, style=style)
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chatbot.append([prompt,
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f'图像中转网址: <br/>`{image_url}`<br/>'+
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f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>'
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f'本地文件地址: <br/>`{image_path}`<br/>'+
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f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
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])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
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class ImageEditState(GptAcademicState):
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# 尚未完成
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def get_image_file(self, x):
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import os, glob
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if len(x) == 0: return False, None
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if not os.path.exists(x): return False, None
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if x.endswith('.png'): return True, x
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file_manifest = [f for f in glob.glob(f'{x}/**/*.png', recursive=True)]
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confirm = (len(file_manifest) >= 1 and file_manifest[0].endswith('.png') and os.path.exists(file_manifest[0]))
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file = None if not confirm else file_manifest[0]
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return confirm, file
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def lock_plugin(self, chatbot):
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chatbot._cookies['lock_plugin'] = 'crazy_functions.Image_Generate->图片修改_DALLE2'
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self.dump_state(chatbot)
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def unlock_plugin(self, chatbot):
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self.reset()
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chatbot._cookies['lock_plugin'] = None
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self.dump_state(chatbot)
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def get_resolution(self, x):
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return (x in ['256x256', '512x512', '1024x1024']), x
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def get_prompt(self, x):
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confirm = (len(x)>=5) and (not self.get_resolution(x)[0]) and (not self.get_image_file(x)[0])
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return confirm, x
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def reset(self):
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self.req = [
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{'value':None, 'description': '请先上传图像（必须是.png格式）, 然后再次点击本插件', 'verify_fn': self.get_image_file},
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{'value':None, 'description': '请输入分辨率,可选：256x256, 512x512 或 1024x1024, 然后再次点击本插件', 'verify_fn': self.get_resolution},
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{'value':None, 'description': '请输入修改需求,建议您使用英文提示词, 然后再次点击本插件', 'verify_fn': self.get_prompt},
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]
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self.info = ""
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def feed(self, prompt, chatbot):
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for r in self.req:
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if r['value'] is None:
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confirm, res = r['verify_fn'](prompt)
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if confirm:
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r['value'] = res
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self.dump_state(chatbot)
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break
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return self
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def next_req(self):
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for r in self.req:
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if r['value'] is None:
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return r['description']
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return "已经收集到所有信息"
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def already_obtained_all_materials(self):
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return all([x['value'] is not None for x in self.req])
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@CatchException
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def 图片修改_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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# 尚未完成
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history = [] # 清空历史
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state = ImageEditState.get_state(chatbot, ImageEditState)
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state = state.feed(prompt, chatbot)
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state.lock_plugin(chatbot)
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if not state.already_obtained_all_materials():
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chatbot.append(["图片修改\n\n1. 上传图片（图片中需要修改的位置用橡皮擦擦除为纯白色，即RGB=255,255,255）\n2. 输入分辨率 \n3. 输入修改需求", state.next_req()])
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yield from update_ui(chatbot=chatbot, history=history)
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return
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image_path = state.req[0]['value']
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resolution = state.req[1]['value']
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prompt = state.req[2]['value']
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chatbot.append(["图片修改, 执行中", f"图片:`{image_path}`<br/>分辨率:`{resolution}`<br/>修改需求:`{prompt}`"])
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yield from update_ui(chatbot=chatbot, history=history)
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image_url, image_path = edit_image(llm_kwargs, prompt, image_path, resolution)
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chatbot.append([prompt,
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f'图像中转网址: <br/>`{image_url}`<br/>'+
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f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>'
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f'本地文件地址: <br/>`{image_path}`<br/>'+
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f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
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])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
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state.unlock_plugin(chatbot)
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def make_transparent(input_image_path, output_image_path):
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from PIL import Image
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image = Image.open(input_image_path)
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image = image.convert("RGBA")
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data = image.getdata()
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new_data = []
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for item in data:
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if item[0] == 255 and item[1] == 255 and item[2] == 255:
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new_data.append((255, 255, 255, 0))
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else:
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new_data.append(item)
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image.putdata(new_data)
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image.save(output_image_path, "PNG")
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def resize_image(input_path, output_path, max_size=1024):
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from PIL import Image
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with Image.open(input_path) as img:
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width, height = img.size
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if width > max_size or height > max_size:
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if width >= height:
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new_width = max_size
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new_height = int((max_size / width) * height)
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else:
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new_height = max_size
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new_width = int((max_size / height) * width)
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resized_img = img.resize(size=(new_width, new_height))
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resized_img.save(output_path)
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else:
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img.save(output_path)
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def make_square_image(input_path, output_path):
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from PIL import Image
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with Image.open(input_path) as img:
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width, height = img.size
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size = max(width, height)
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new_img = Image.new("RGBA", (size, size), color="black")
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new_img.paste(img, ((size - width) // 2, (size - height) // 2))
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new_img.save(output_path)
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@@ -1,7 +1,7 @@
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from toolbox import get_conf, update_ui
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from crazy_functions.AntFin import 图片生成_DALLE2, 图片生成_DALLE3, 图片修改_DALLE2
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from crazy_functions.plugin_template.plugin_class_template import GptAcademicPluginTemplate, ArgProperty
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from crazy_functions.AntFin import AntFinTest
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class ImageGen_Wrap(GptAcademicPluginTemplate):
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@@ -38,19 +38,6 @@ class ImageGen_Wrap(GptAcademicPluginTemplate):
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"""
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执行插件
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"""
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# 分辨率
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resolution = plugin_kwargs["resolution"].replace("(限DALLE2)", "").replace("(限DALLE3)", "")
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yield from AntFinTest(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
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if plugin_kwargs["model_name"] == "DALLE2":
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plugin_kwargs["advanced_arg"] = resolution
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yield from 图片生成_DALLE2(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
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elif plugin_kwargs["model_name"] == "DALLE3":
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quality = plugin_kwargs["quality (仅DALLE3生效)"]
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style = plugin_kwargs["style (仅DALLE3生效)"]
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plugin_kwargs["advanced_arg"] = f"{resolution}-{quality}-{style}"
|
||||
yield from 图片生成_DALLE3(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
|
||||
|
||||
else:
|
||||
chatbot.append([None, "抱歉，找不到该模型"])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
6
main.py
6
main.py
@@ -112,12 +112,12 @@ def main():
|
||||
with gr.Row():
|
||||
txt = gr.Textbox(show_label=False, placeholder="Input question here.", elem_id='user_input_main').style(container=False)
|
||||
with gr.Row(elem_id="gpt-submit-row"):
|
||||
multiplex_submit_btn = gr.Button("提交", elem_id="elem_submit_visible", variant="primary")
|
||||
multiplex_submit_btn = gr.Button("蚂小财测试", elem_id="elem_submit_visible", variant="primary")
|
||||
multiplex_sel = gr.Dropdown(
|
||||
choices=get_multiplex_button_functions().keys(), value="常规对话",
|
||||
choices=get_multiplex_button_functions().keys(), value="蚂小财测试",
|
||||
interactive=True, label='', show_label=False,
|
||||
elem_classes='normal_mut_select', elem_id="gpt-submit-dropdown").style(container=False)
|
||||
submit_btn = gr.Button("提交", elem_id="elem_submit", variant="primary", visible=False)
|
||||
submit_btn = gr.Button("蚂小财测试", elem_id="elem_submit", variant="primary", visible=False)
|
||||
with gr.Row():
|
||||
resetBtn = gr.Button("重置", elem_id="elem_reset", variant="secondary"); resetBtn.style(size="sm")
|
||||
stopBtn = gr.Button("停止", elem_id="elem_stop", variant="secondary"); stopBtn.style(size="sm")
|
||||
|
||||
在新工单中引用
屏蔽一个用户