import gradio as gr # import openai import os import sys from utils import * my_api_key = "" # 在这里输入你的 API 密钥 HIDE_MY_KEY = False # 如果你想在UI中隐藏你的 API 密钥，将此值设置为 True gr.Chatbot.postprocess = postprocess #if we are running in Docker if os.environ.get('dockerrun') == 'yes': dockerflag = True else: dockerflag = False authflag = False if dockerflag: my_api_key = os.environ.get('my_api_key') if my_api_key == "empty": print("Please give a api key!") sys.exit(1) #auth username = os.environ.get('USERNAME') password = os.environ.get('PASSWORD') if not (isinstance(username, type(None)) or isinstance(password, type(None))): authflag = True else: if os.path.exists("api_key.txt"): with open("api_key.txt", "r") as f: my_api_key = f.read().strip() if os.path.exists("auth.json"): with open("auth.json", "r") as f: auth = json.load(f) username = auth["username"] password = auth["password"] if username != "" and password != "": authflag = True title = """

川虎ChatGPT 🚀

""" description = """
由Bilibili [土川虎虎虎](https://space.bilibili.com/29125536) 和 [明昭MZhao](https://space.bilibili.com/24807452)开发 访问川虎ChatGPT的 [GitHub项目](https://github.com/GaiZhenbiao/ChuanhuChatGPT) 下载最新版脚本 此App使用 `gpt-3.5-turbo` 大语言模型
""" customCSS = """ code { display: inline; white-space: break-spaces; border-radius: 6px; margin: 0 2px 0 2px; padding: .2em .4em .1em .4em; background-color: rgba(175,184,193,0.2); } pre { display: block; white-space: pre; background-color: hsla(0, 0%, 0%, 72%); border: solid 5px var(--color-border-primary) !important; border-radius: 8px; padding: 0 1.2rem 1.2rem; margin-top: 1em !important; color: #FFF; box-shadow: inset 0px 8px 16px hsla(0, 0%, 0%, .2) } pre code, pre code code { background-color: transparent !important; margin: 0; padding: 0; } """ with gr.Blocks(css=customCSS) as demo: gr.HTML(title) gr.HTML('''
复制 Space强烈建议点击上面的按钮复制一份这个Space，在你自己的Space里运行，响应更迅速、也更安全👆
''') keyTxt = gr.Textbox(show_label=True, placeholder=f"在这里输入你的OpenAI API-key...", value=my_api_key, label="API Key", type="password", visible=not HIDE_MY_KEY).style(container=True) chatbot = gr.Chatbot() # .style(color_map=("#1D51EE", "#585A5B")) history = gr.State([]) promptTemplates = gr.State(load_template(get_template_names(plain=True)[0], mode=2)) TRUECOMSTANT = gr.State(True) FALSECONSTANT = gr.State(False) topic = gr.State("未命名对话历史记录") with gr.Row(): with gr.Column(scale=12): txt = gr.Textbox(show_label=False, placeholder="在这里输入").style( container=False) with gr.Column(min_width=50, scale=1): submitBtn = gr.Button("🚀", variant="primary") with gr.Row(): emptyBtn = gr.Button("🧹 新的对话") retryBtn = gr.Button("🔄 重新生成") delLastBtn = gr.Button("🗑️ 删除上条对话") reduceTokenBtn = gr.Button("♻️ 总结对话") statusDisplay = gr.Markdown("status: ready") systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"在这里输入System Prompt...", label="System prompt", value=initial_prompt).style(container=True) with gr.Accordion(label="加载Prompt模板", open=False): with gr.Column(): with gr.Row(): with gr.Column(scale=6): templateFileSelectDropdown = gr.Dropdown(label="选择Prompt模板集合文件（.csv）", choices=get_template_names(plain=True), multiselect=False) with gr.Column(scale=1): templateRefreshBtn = gr.Button("🔄 刷新") templaeFileReadBtn = gr.Button("📂 读入模板") with gr.Row(): with gr.Column(scale=6): templateSelectDropdown = gr.Dropdown(label="从Prompt模板中加载", choices=load_template(get_template_names(plain=True)[0], mode=1), multiselect=False) with gr.Column(scale=1): templateApplyBtn = gr.Button("⬇️ 应用") with gr.Accordion(label="保存/加载对话历史记录(在文本框中输入文件名，点击“保存对话”按钮，历史记录文件会被存储到Python文件旁边)", open=False): with gr.Column(): with gr.Row(): with gr.Column(scale=6): saveFileName = gr.Textbox( show_label=True, placeholder=f"在这里输入保存的文件名...", label="设置保存文件名", value="对话历史记录").style(container=True) with gr.Column(scale=1): saveBtn = gr.Button("💾 保存对话") with gr.Row(): with gr.Column(scale=6): historyFileSelectDropdown = gr.Dropdown(label="从列表中加载对话", choices=get_history_names(plain=True), multiselect=False) with gr.Column(scale=1): historyRefreshBtn = gr.Button("🔄 刷新") historyReadBtn = gr.Button("📂 读入对话") #inputs, top_p, temperature, top_k, repetition_penalty with gr.Accordion("参数", open=False): top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=True, label="Top-p (nucleus sampling)",) temperature = gr.Slider(minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",) #top_k = gr.Slider( minimum=1, maximum=50, value=4, step=1, interactive=True, label="Top-k",) #repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.03, step=0.01, interactive=True, label="Repetition Penalty", ) gr.Markdown(description) txt.submit(predict, [txt, top_p, temperature, keyTxt, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay]) txt.submit(reset_textbox, [], [txt]) submitBtn.click(predict, [txt, top_p, temperature, keyTxt, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay], show_progress=True) submitBtn.click(reset_textbox, [], [txt]) emptyBtn.click(reset_state, outputs=[chatbot, history]) retryBtn.click(predict, [txt, top_p, temperature, keyTxt, chatbot, history, systemPromptTxt, TRUECOMSTANT], [chatbot, history, statusDisplay], show_progress=True) delLastBtn.click(delete_last_conversation, [chatbot, history], [ chatbot, history], show_progress=True) reduceTokenBtn.click(predict, [txt, top_p, temperature, keyTxt, chatbot, history, systemPromptTxt, FALSECONSTANT, TRUECOMSTANT], [chatbot, history, statusDisplay], show_progress=True) saveBtn.click(save_chat_history, [ saveFileName, systemPromptTxt, history, chatbot], None, show_progress=True) saveBtn.click(get_history_names, None, [historyFileSelectDropdown]) historyRefreshBtn.click(get_history_names, None, [historyFileSelectDropdown]) historyReadBtn.click(load_chat_history, [historyFileSelectDropdown], [saveFileName, systemPromptTxt, history, chatbot], show_progress=True) templateRefreshBtn.click(get_template_names, None, [templateFileSelectDropdown]) templaeFileReadBtn.click(load_template, [templateFileSelectDropdown], [promptTemplates, templateSelectDropdown], show_progress=True) templateApplyBtn.click(lambda x, y: x[y], [promptTemplates, templateSelectDropdown], [systemPromptTxt], show_progress=True) print("川虎的温馨提示：访问 http://localhost:7860 查看界面") # 默认开启本地服务器，默认可以直接从IP访问，默认不创建公开分享链接 demo.title = "川虎ChatGPT 🚀" #if running in Docker if dockerflag: if authflag: demo.queue().launch(server_name="0.0.0.0", server_port=7860,auth=(username, password)) else: demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False) #if not running in Docker else: if authflag: demo.queue().launch(share=False, auth=(username, password)) else: demo.queue().launch(share=False) # 改为 share=True 可以创建公开分享链接 #demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False) # 可自定义端口 #demo.queue().launch(server_name="0.0.0.0", server_port=7860,auth=("在这里填写用户名", "在这里填写密码")) # 可设置用户名与密码 #demo.queue().launch(auth=("在这里填写用户名", "在这里填写密码")) # 适合Nginx反向代理