update

crazy_functional.py

@@ -3,29 +3,15 @@ from toolbox import trimmed_format_exc
 from loguru import logger
 
 def get_crazy_functions():
-    from crazy_functions.SourceCode_Analyse import 解析项目本身
+    from crazy_functions.AntFin import AntFinTest
 
     function_plugins = {
-        "多媒体智能体": {
+        "蚂小财测试": {
             "Group": "智能体",
             "Color": "stop",
             "AsButton": False,
-            "Info": "【仅测试】多媒体任务",
+            "Info": "蚂小财测试",
-            "Function": HotReload(多媒体任务),
+            "Function": HotReload(AntFinTest),
-        },
-        "虚空终端": {
-            "Group": "对话|编程|学术|智能体",
-            "Color": "stop",
-            "AsButton": True,
-            "Info": "使用自然语言实现您的想法",
-            "Function": HotReload(虚空终端),
-        },
-        "解析整个Python项目": {
-            "Group": "编程",
-            "Color": "stop",
-            "AsButton": True,
-            "Info": "解析一个Python项目的所有源文件(.py) | 输入参数为路径",
-            "Function": HotReload(解析一个Python项目),
         },
     }
 
@@ -50,8 +36,6 @@ def get_crazy_functions():
     return function_plugins
 
 
-
-
 def get_multiplex_button_functions():
     """多路复用主提交按钮的功能映射
     """
@@ -59,12 +43,6 @@ def get_multiplex_button_functions():
         "常规对话":
             "",
 
-        "多模型对话": 
+        "蚂小财测试": 
-            "询问多个GPT模型", # 映射到上面的 `询问多个GPT模型` 插件
+            "蚂小财测试",  # 映射到上面的 `询问多个GPT模型` 插件
-
-        "智能召回 RAG": 
-            "Rag智能召回", # 映射到上面的 `Rag智能召回` 插件
-
-        "多媒体查询": 
-            "多媒体智能体", # 映射到上面的 `多媒体智能体` 插件
     }

crazy_functions/AntFin.py

@@ -2,275 +2,8 @@ from toolbox import CatchException, update_ui, get_conf, select_api_key, get_log
 from crazy_functions.multi_stage.multi_stage_utils import GptAcademicState
 
 
-def gen_image(llm_kwargs, prompt, resolution="1024x1024", model="dall-e-2", quality=None, style=None):
-    import requests, json, time, os
-    from request_llms.bridge_all import model_info
-
-    proxies = get_conf('proxies')
-    # Set up OpenAI API key and model
-    api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
-    chat_endpoint = model_info[llm_kwargs['llm_model']]['endpoint']
-    # 'https://api.openai.com/v1/chat/completions'
-    img_endpoint = chat_endpoint.replace('chat/completions','images/generations')
-    # # Generate the image
-    url = img_endpoint
-    headers = {
-        'Authorization': f"Bearer {api_key}",
-        'Content-Type': 'application/json'
-    }
-    data = {
-        'prompt': prompt,
-        'n': 1,
-        'size': resolution,
-        'model': model,
-        'response_format': 'url'
-    }
-    if quality is not None:
-        data['quality'] = quality
-    if style is not None:
-        data['style'] = style
-    response = requests.post(url, headers=headers, json=data, proxies=proxies)
-    # logger.info(response.content)
-    try:
-        image_url = json.loads(response.content.decode('utf8'))['data'][0]['url']
-    except:
-        raise RuntimeError(response.content.decode())
-    # 文件保存到本地
-    r = requests.get(image_url, proxies=proxies)
-    file_path = f'{get_log_folder()}/image_gen/'
-    os.makedirs(file_path, exist_ok=True)
-    file_name = 'Image' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.png'
-    with open(file_path+file_name, 'wb+') as f: f.write(r.content)
-
-
-    return image_url, file_path+file_name
-
-
-def edit_image(llm_kwargs, prompt, image_path, resolution="1024x1024", model="dall-e-2"):
-    import requests, json, time, os
-    from request_llms.bridge_all import model_info
-
-    proxies = get_conf('proxies')
-    api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
-    chat_endpoint = model_info[llm_kwargs['llm_model']]['endpoint']
-    # 'https://api.openai.com/v1/chat/completions'
-    img_endpoint = chat_endpoint.replace('chat/completions','images/edits')
-    # # Generate the image
-    url = img_endpoint
-    n = 1
-    headers = {
-        'Authorization': f"Bearer {api_key}",
-    }
-    make_transparent(image_path, image_path+'.tsp.png')
-    make_square_image(image_path+'.tsp.png', image_path+'.tspsq.png')
-    resize_image(image_path+'.tspsq.png', image_path+'.ready.png', max_size=1024)
-    image_path = image_path+'.ready.png'
-    with open(image_path, 'rb') as f:
-        file_content = f.read()
-        files = {
-            'image': (os.path.basename(image_path), file_content),
-            # 'mask': ('mask.png', open('mask.png', 'rb'))
-            'prompt':   (None, prompt),
-            "n":        (None, str(n)),
-            'size':     (None, resolution),
-        }
-
-    response = requests.post(url, headers=headers, files=files, proxies=proxies)
-    # logger.info(response.content)
-    try:
-        image_url = json.loads(response.content.decode('utf8'))['data'][0]['url']
-    except:
-        raise RuntimeError(response.content.decode())
-    # 文件保存到本地
-    r = requests.get(image_url, proxies=proxies)
-    file_path = f'{get_log_folder()}/image_gen/'
-    os.makedirs(file_path, exist_ok=True)
-    file_name = 'Image' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.png'
-    with open(file_path+file_name, 'wb+') as f: f.write(r.content)
-
-
-    return image_url, file_path+file_name
-
-
 @CatchException
-def 图片生成_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
+def AntFinTest(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
-    """
+    chatbot.append(("AntFin Test", "AntFin Test"))
-    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
-    system_prompt   给gpt的静默提醒
-    user_request    当前用户的请求信息（IP地址等）
-    """
-    history = []    # 清空历史,以免输入溢出
-    if prompt.strip() == "":
-        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。"))
-        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
-        return
-    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 ....."))
-    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
-    if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
-    resolution = plugin_kwargs.get("advanced_arg", '1024x1024')
-    image_url, image_path = gen_image(llm_kwargs, prompt, resolution)
-    chatbot.append([prompt,
-        f'图像中转网址: <br/>`{image_url}`<br/>'+
-        f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>'
-        f'本地文件地址: <br/>`{image_path}`<br/>'+
-        f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
-    ])
     yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
 
-
-@CatchException
-def 图片生成_DALLE3(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
-    history = []    # 清空历史,以免输入溢出
-    if prompt.strip() == "":
-        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。"))
-        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
-        return
-    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 ....."))
-    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
-    if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
-    resolution_arg = plugin_kwargs.get("advanced_arg", '1024x1024-standard-vivid').lower()
-    parts = resolution_arg.split('-')
-    resolution = parts[0] # 解析分辨率
-    quality = 'standard' # 质量与风格默认值
-    style = 'vivid'
-    # 遍历检查是否有额外参数
-    for part in parts[1:]:
-        if part in ['hd', 'standard']:
-            quality = part
-        elif part in ['vivid', 'natural']:
-            style = part
-    image_url, image_path = gen_image(llm_kwargs, prompt, resolution, model="dall-e-3", quality=quality, style=style)
-    chatbot.append([prompt,
-        f'图像中转网址: <br/>`{image_url}`<br/>'+
-        f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>'
-        f'本地文件地址: <br/>`{image_path}`<br/>'+
-        f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
-    ])
-    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
-
-
-class ImageEditState(GptAcademicState):
-    # 尚未完成
-    def get_image_file(self, x):
-        import os, glob
-        if len(x) == 0:             return False, None
-        if not os.path.exists(x):   return False, None
-        if x.endswith('.png'):      return True, x
-        file_manifest = [f for f in glob.glob(f'{x}/**/*.png', recursive=True)]
-        confirm = (len(file_manifest) >= 1 and file_manifest[0].endswith('.png') and os.path.exists(file_manifest[0]))
-        file = None if not confirm else file_manifest[0]
-        return confirm, file
-
-    def lock_plugin(self, chatbot):
-        chatbot._cookies['lock_plugin'] = 'crazy_functions.Image_Generate->图片修改_DALLE2'
-        self.dump_state(chatbot)
-
-    def unlock_plugin(self, chatbot):
-        self.reset()
-        chatbot._cookies['lock_plugin'] = None
-        self.dump_state(chatbot)
-
-    def get_resolution(self, x):
-        return (x in ['256x256', '512x512', '1024x1024']), x
-
-    def get_prompt(self, x):
-        confirm = (len(x)>=5) and (not self.get_resolution(x)[0]) and (not self.get_image_file(x)[0])
-        return confirm, x
-
-    def reset(self):
-        self.req = [
-            {'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},
-            {'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},
-            {'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},
-        ]
-        self.info = ""
-
-    def feed(self, prompt, chatbot):
-        for r in self.req:
-            if r['value'] is None:
-                confirm, res = r['verify_fn'](prompt)
-                if confirm:
-                    r['value'] = res
-                    self.dump_state(chatbot)
-                    break
-        return self
-
-    def next_req(self):
-        for r in self.req:
-            if r['value'] is None:
-                return r['description']
-        return "已经收集到所有信息"
-
-    def already_obtained_all_materials(self):
-        return all([x['value'] is not None for x in self.req])
-
-@CatchException
-def 图片修改_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
-    # 尚未完成
-    history = []    # 清空历史
-    state = ImageEditState.get_state(chatbot, ImageEditState)
-    state = state.feed(prompt, chatbot)
-    state.lock_plugin(chatbot)
-    if not state.already_obtained_all_materials():
-        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()])
-        yield from update_ui(chatbot=chatbot, history=history)
-        return
-
-    image_path = state.req[0]['value']
-    resolution = state.req[1]['value']
-    prompt = state.req[2]['value']
-    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}`"])
-    yield from update_ui(chatbot=chatbot, history=history)
-    image_url, image_path = edit_image(llm_kwargs, prompt, image_path, resolution)
-    chatbot.append([prompt,
-        f'图像中转网址: <br/>`{image_url}`<br/>'+
-        f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>'
-        f'本地文件地址: <br/>`{image_path}`<br/>'+
-        f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'
-    ])
-    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
-    state.unlock_plugin(chatbot)
-
-def make_transparent(input_image_path, output_image_path):
-    from PIL import Image
-    image = Image.open(input_image_path)
-    image = image.convert("RGBA")
-    data = image.getdata()
-    new_data = []
-    for item in data:
-        if item[0] == 255 and item[1] == 255 and item[2] == 255:
-            new_data.append((255, 255, 255, 0))
-        else:
-            new_data.append(item)
-    image.putdata(new_data)
-    image.save(output_image_path, "PNG")
-
-def resize_image(input_path, output_path, max_size=1024):
-    from PIL import Image
-    with Image.open(input_path) as img:
-        width, height = img.size
-        if width > max_size or height > max_size:
-            if width >= height:
-                new_width = max_size
-                new_height = int((max_size / width) * height)
-            else:
-                new_height = max_size
-                new_width = int((max_size / height) * width)
-
-            resized_img = img.resize(size=(new_width, new_height))
-            resized_img.save(output_path)
-        else:
-            img.save(output_path)
-
-def make_square_image(input_path, output_path):
-    from PIL import Image
-    with Image.open(input_path) as img:
-        width, height = img.size
-        size = max(width, height)
-        new_img = Image.new("RGBA", (size, size), color="black")
-        new_img.paste(img, ((size - width) // 2, (size - height) // 2))
-        new_img.save(output_path)

crazy_functions/AntFin_Wrap.py

@@ -1,7 +1,7 @@
 
 from toolbox import get_conf, update_ui
-from crazy_functions.AntFin import 图片生成_DALLE2, 图片生成_DALLE3, 图片修改_DALLE2
 from crazy_functions.plugin_template.plugin_class_template import GptAcademicPluginTemplate, ArgProperty
+from crazy_functions.AntFin import AntFinTest
 
 
 class ImageGen_Wrap(GptAcademicPluginTemplate):
@@ -38,19 +38,6 @@ class ImageGen_Wrap(GptAcademicPluginTemplate):
         """
         执行插件
         """
-        # 分辨率
+        yield from AntFinTest(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
-        resolution = plugin_kwargs["resolution"].replace("(限DALLE2)", "").replace("(限DALLE3)", "")
 
-        if plugin_kwargs["model_name"] == "DALLE2":
-            plugin_kwargs["advanced_arg"] = resolution
-            yield from 图片生成_DALLE2(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
 
-        elif plugin_kwargs["model_name"] == "DALLE3":
-            quality = plugin_kwargs["quality (仅DALLE3生效)"]
-            style = plugin_kwargs["style (仅DALLE3生效)"]
-            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

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")