Merge pull request #57 from GaiZhenbiao/master

config.py

@@ -6,7 +6,7 @@ API_URL = "https://api.openai.com/v1/chat/completions"
 USE_PROXY = False
 if USE_PROXY:
     # 代理网络的地址，打开你的科学上网软件查看代理的协议(socks5/http)、地址(localhost)和端口(11284)
-    proxies = { "http": "socks5h://localhost:11284", "https": "socks5h://localhost:11284", } 
+    proxies = { "http": "socks5h://localhost:11284", "https": "socks5h://localhost:11284", }
     print('网络代理状态：运行。')
 else:
     proxies = None
@@ -25,5 +25,11 @@ MAX_RETRY = 2
 LLM_MODEL = "gpt-3.5-turbo"
 
 # 检查一下是不是忘了改config
-if API_KEY == "sk-此处填API秘钥":
-    assert False, "请在config文件中修改API密钥, 添加海外代理之后再运行"
+if len(API_KEY) != 51:
+    assert False, "请在config文件中修改API密钥, 添加海外代理之后再运行"
+
+# 设置并行使用的线程数
+CONCURRENT_COUNT = 100
+
+# 设置用户名和密码
+AUTHENTICATION = [] # [("username", "password"), ("username2", "password2"), ...]

main.py

@@ -1,14 +1,15 @@
 import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
-import gradio as gr 
+import gradio as gr
 from predict import predict
 from toolbox import format_io, find_free_port
 
 # 建议您复制一个config_private.py放自己的秘密, 如API和代理网址, 避免不小心传github被别人看到
-try: from config_private import proxies, WEB_PORT, LLM_MODEL
-except: from config import proxies, WEB_PORT, LLM_MODEL
+try: from config_private import proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION
+except: from config import proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION
 
 # 如果WEB_PORT是-1, 则随机选取WEB端口
 PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
+AUTHENTICATION = None if AUTHENTICATION == [] else AUTHENTICATION
 
 initial_prompt = "Serve me as a writing and programming assistant."
 title_html = """<h1 align="center">ChatGPT 学术优化</h1>"""
@@ -16,7 +17,7 @@ title_html = """<h1 align="center">ChatGPT 学术优化</h1>"""
 # 问询记录, python 版本建议3.9+（越新越好）
 import logging
 os.makedirs('gpt_log', exist_ok=True)
-try:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO, encoding='utf-8') 
+try:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO, encoding='utf-8')
 except:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO)
 print('所有问询记录将自动保存在本地目录./gpt_log/chat_secrets.log, 请注意自我隐私保护哦！')
 
@@ -50,7 +51,9 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
                 with gr.Column(scale=12):
                     txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
                 with gr.Column(scale=1):
-                    submitBtn = gr.Button("提交", variant="primary")
+                    with gr.Row():
+                        resetBtn = gr.Button("重置", variant="secondary")
+                        submitBtn = gr.Button("提交", variant="primary")
             with gr.Row():
                 from check_proxy import check_proxy
                 statusDisplay = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行. \nNetwork: {check_proxy(proxies)}\nModel: {LLM_MODEL}")
@@ -73,31 +76,27 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
             #inputs, top_p, temperature, top_k, repetition_penalty
             with gr.Accordion("arguments", open=False):
                 top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
-                temperature = gr.Slider(minimum=-0, maximum=5.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
+                temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
 
-    txt.submit(predict, [txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay])
-    submitBtn.click(predict, [txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay], show_progress=True)
+    predict_args = dict(fn=predict, inputs=[txt, top_p, temperature, chatbot, history, systemPromptTxt], outputs=[chatbot, history, statusDisplay], show_progress=True)
+    empty_txt_args = dict(fn=lambda: "", inputs=[], outputs=[txt])
+
+    txt.submit(**predict_args)
+    txt.submit(**empty_txt_args)
+    submitBtn.click(**predict_args)
+    submitBtn.click(**empty_txt_args)
+    resetBtn.click(lambda: ([], [], "已重置"), None, [chatbot, history, statusDisplay])
     for k in functional:
-        functional[k]["Button"].click(predict, 
+        functional[k]["Button"].click(predict,
             [txt, top_p, temperature, chatbot, history, systemPromptTxt, TRUE, gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)
     file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt])
     for k in crazy_functional:
-        click_handle = crazy_functional[k]["Button"].click(crazy_functional[k]["Function"], 
+        click_handle = crazy_functional[k]["Button"].click(crazy_functional[k]["Function"],
             [txt, top_p, temperature, chatbot, history, systemPromptTxt, gr.State(PORT)], [chatbot, history, statusDisplay]
         )
         try: click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
         except: pass
 
 
-# 延迟函数, 做一些准备工作, 最后尝试打开浏览器
-def auto_opentab_delay():
-    import threading, webbrowser, time
-    print(f"URL http://localhost:{PORT}")
-    def open(): time.sleep(2)
-    webbrowser.open_new_tab(f'http://localhost:{PORT}')
-    t = threading.Thread(target=open)
-    t.daemon = True; t.start()
-
-auto_opentab_delay()
 demo.title = "ChatGPT 学术优化"
-demo.queue().launch(server_name="0.0.0.0", share=True, server_port=PORT)
+demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", share=True, server_port=PORT, inbrowser=True, auth=AUTHENTICATION)

toolbox.py

@@ -14,7 +14,7 @@ def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temp
     # list就是最简单的mutable结构，我们第一个位置放gpt输出，第二个位置传递报错信息
     mutable = [None, '']
     # multi-threading worker
-    def mt(i_say, history): 
+    def mt(i_say, history):
         while True:
             try:
                 mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
@@ -124,7 +124,7 @@ def format_io(self, y):
     """
         将输入和输出解析为HTML格式。将y中最后一项的输入部分段落化，并将输出部分的Markdown和数学公式转换为HTML格式。
     """
-    if y is None: return []
+    if y is None or y == []: return []
     i_ask, gpt_reply = y[-1]
     i_ask = text_divide_paragraph(i_ask) # 输入部分太自由，预处理一波
     y[-1] = (
@@ -144,7 +144,7 @@ def find_free_port():
         s.bind(('', 0))
         s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
         return s.getsockname()[1]
-    
+
 
 def extract_archive(file_path, dest_dir):
     import zipfile
@@ -165,7 +165,7 @@ def extract_archive(file_path, dest_dir):
             print("Successfully extracted tar archive to {}".format(dest_dir))
     else:
         return
-    
+
 def find_recent_files(directory):
     """
         me: find files that is created with in one minutes under a directory with python, write a function