from toolbox import CatchException, update_ui, get_conf, select_api_key from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive import datetime def gen_image(llm_kwargs, prompt, resolution="256x256"): import requests, json, time, os from request_llm.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, 'response_format': 'url' } response = requests.post(url, headers=headers, json=data, proxies=proxies) print(response.content) image_url = json.loads(response.content.decode('utf8'))['data'][0]['url'] # 文件保存到本地 r = requests.get(image_url, proxies=proxies) file_path = 'gpt_log/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): """ 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-xxxx或者api2d-xxxx。如果中文效果不理想, 尝试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", '256x256') image_url, image_path = gen_image(llm_kwargs, prompt, resolution) chatbot.append([prompt, f'图像中转网址:
`{image_url}`
'+ f'中转网址预览:
' f'本地文件地址:
`{image_path}`
'+ f'本地文件预览:
' ]) yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新