图像修改

crazy_functional.py

@@ -349,16 +349,16 @@ def get_crazy_functions():
         print('Load function plugin failed')
 
     try:
-        from crazy_functions.图片生成 import 图片生成, 图片生成_DALLE3
+        from crazy_functions.图片生成 import 图片生成_DALLE2, 图片生成_DALLE3, 图片修改_DALLE2
         function_plugins.update({
-            "图片生成（先切换模型到openai或api2d）": {
+            "图片生成_DALLE2（先切换模型到openai或api2d）": {
                 "Group": "对话",
                 "Color": "stop",
                 "AsButton": False,
                 "AdvancedArgs": True,  # 调用时，唤起高级参数输入区（默认False）
                 "ArgsReminder": "在这里输入分辨率, 如1024x1024（默认），支持 256x256, 512x512, 1024x1024",  # 高级参数输入区的显示提示
                 "Info": "使用DALLE2生成图片 | 输入参数字符串，提供图像的内容",
-                "Function": HotReload(图片生成)
+                "Function": HotReload(图片生成_DALLE2)
             },
         })
         function_plugins.update({
@@ -372,6 +372,17 @@ def get_crazy_functions():
                 "Function": HotReload(图片生成_DALLE3)
             },
         })
+        # function_plugins.update({
+        #     "图片修改_DALLE2（启动DALLE2图像修改向导程序）": {
+        #         "Group": "对话",
+        #         "Color": "stop",
+        #         "AsButton": False,
+        #         "AdvancedArgs": True,  # 调用时，唤起高级参数输入区（默认False）
+        #         "ArgsReminder": "在这里输入分辨率, 如1024x1024（默认），支持 1024x1024, 1792x1024, 1024x1792",  # 高级参数输入区的显示提示
+        #         # "Info": "使用DALLE2修改图片 | 输入参数字符串，提供图像的内容",
+        #         "Function": HotReload(图片修改_DALLE2)
+        #     },
+        # })
     except:
         print('Load function plugin failed')
 

crazy_functions/multi_stage/multi_stage_utils.py

@@ -0,0 +1,45 @@
+from pydantic import BaseModel, Field
+from typing import List
+from toolbox import update_ui_lastest_msg, disable_auto_promotion
+from request_llms.bridge_all import predict_no_ui_long_connection
+from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError
+import time
+import pickle
+
+def have_any_recent_upload_files(chatbot):
+    _5min = 5 * 60
+    if not chatbot: return False    # chatbot is None
+    most_recent_uploaded = chatbot._cookies.get("most_recent_uploaded", None)
+    if not most_recent_uploaded: return False   # most_recent_uploaded is None
+    if time.time() - most_recent_uploaded["time"] < _5min: return True # most_recent_uploaded is new
+    else: return False  # most_recent_uploaded is too old
+
+class GptAcademicState():
+    def __init__(self):
+        self.reset()
+
+    def reset(self):
+        pass
+
+    def lock_plugin(self, chatbot):
+        chatbot._cookies['plugin_state'] = pickle.dumps(self)
+
+    def unlock_plugin(self, chatbot):
+        self.reset()
+        chatbot._cookies['plugin_state'] = pickle.dumps(self)
+
+    def set_state(self, chatbot, key, value):
+        setattr(self, key, value)
+        chatbot._cookies['plugin_state'] = pickle.dumps(self)
+
+    def get_state(chatbot, cls=None):
+        state = chatbot._cookies.get('plugin_state', None)
+        if state is not None:   state = pickle.loads(state)
+        elif cls is not None:   state = cls()
+        else:                   state = GptAcademicState()
+        state.chatbot = chatbot
+        return state
+
+class GatherMaterials():
+    def __init__(self, materials) -> None:
+        materials = ['image', 'prompt']

crazy_functions/图片生成.py

@@ -1,6 +1,5 @@
 from toolbox import CatchException, update_ui, get_conf, select_api_key, get_log_folder
-from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
+from crazy_functions.multi_stage.multi_stage_utils import GptAcademicState
-import datetime
 
 
 def gen_image(llm_kwargs, prompt, resolution="1024x1024", model="dall-e-2"):
@@ -43,9 +42,48 @@ def gen_image(llm_kwargs, prompt, resolution="1024x1024", model="dall-e-2"):
     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
+    headers = {
+        'Authorization': f"Bearer {api_key}",
+        'Content-Type': 'application/json'
+    }
+    data = {
+        'image': open(image_path, 'rb'),
+        'prompt': prompt,
+        'n': 1,
+        'size': resolution,
+        'model': model,
+        'response_format': 'url'
+    }
+    response = requests.post(url, headers=headers, json=data, proxies=proxies)
+    print(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(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+def 图片生成_DALLE2(prompt, 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
     llm_kwargs      gpt模型参数，如温度和top_p等，一般原样传递下去就行
@@ -69,17 +107,9 @@ def 图片生成(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
     ])
     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, 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
-    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
-    web_port        当前软件运行的端口号
-    """
     history = []    # 清空历史，以免输入溢出
     chatbot.append(("这是什么功能？", "[Local Message] 生成图像, 请先把模型切换至gpt-*或者api2d-*。如果中文效果不理想, 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
@@ -94,3 +124,74 @@ def 图片生成_DALLE3(prompt, llm_kwargs, plugin_kwargs, chatbot, history, sys
     ])
     yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
 
+
+class ImageEditState(GptAcademicState):
+    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 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',   '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',                 '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.set_state(chatbot, 'dummy_key', 'dummy_value')
+                    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, web_port):
+    history = []    # 清空历史
+    state = ImageEditState.get_state(chatbot, ImageEditState)
+    state = state.feed(prompt, chatbot)
+    if not state.already_obtained_all_materials():
+        chatbot.append(["图片修改（先上传图片，再输入修改需求，最后输入分辨率）", state.next_req()])
+        yield from update_ui(chatbot=chatbot, history=history)
+        return
+
+    image_path = state.req[0]
+    resolution = state.req[1]
+    prompt = state.req[2]
+    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([state.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
+

toolbox.py

@@ -625,13 +625,14 @@ def on_file_uploaded(request: gradio.Request, files, chatbot, txt, txt2, checkbo
 
 
 def on_report_generated(cookies, files, chatbot):
-    from toolbox import find_recent_files
+    # from toolbox import find_recent_files
-    PATH_LOGGING = get_conf('PATH_LOGGING')
+    # PATH_LOGGING = get_conf('PATH_LOGGING')
     if 'files_to_promote' in cookies:
         report_files = cookies['files_to_promote']
         cookies.pop('files_to_promote')
     else:
-        report_files = find_recent_files(PATH_LOGGING)
+        report_files = []
+    #     report_files = find_recent_files(PATH_LOGGING)
     if len(report_files) == 0:
         return cookies, None, chatbot
     # files.extend(report_files)