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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': '256x256', | |
'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 | |
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 | |
resolution = plugin_kwargs.get("advanced_arg", '256x256') | |
image_url, image_path = gen_image(llm_kwargs, prompt, resolution) | |
chatbot.append([prompt, | |
f'`{image_url}`\n\n'+ | |
f'<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 | |