Github https://github.com/GaiZhenbiao/ChuanhuChatGPT/commit/70ec74266733f9c8b6d41882d29231bf178f20e4

Dockerfile

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+FROM python:3.9 as builder
+RUN apt-get update && apt-get install -y build-essential
+COPY requirements.txt .
+RUN pip install --user -r requirements.txt
+
+FROM python:3.9
+MAINTAINER iskoldt
+COPY --from=builder /root/.local /root/.local
+ENV PATH=/root/.local/bin:$PATH
+COPY . /app
+WORKDIR /app
+ENV my_api_key empty
+ENV dockerrun yes
+CMD ["python3", "-u", "ChuanhuChatbot.py", "2>&1", "|", "tee", "/var/log/application.log"]

LICENSE

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+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md

@@ -1,13 +1,13 @@
 ---
 title: ChuanhuChatGPT
-emoji: 🐠
+emoji: 🐯
 colorFrom: blue
 colorTo: red
 sdk: gradio
-sdk_version: 3.19.1
+sdk_version: 3.22.1
 app_file: app.py
 pinned: false
-license: mit
+license: gpl-3.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -59,6 +59,66 @@ with open("custom.css", "r", encoding="utf-8") as f:
 
 with gr.Blocks(
     css=customCSS,
+    theme=gr.themes.Soft(
+        primary_hue=gr.themes.Color(
+            c50="#02C160",
+            c100="rgba(2, 193, 96, 0.2)",
+            c200="#02C160",
+            c300="rgba(2, 193, 96, 0.32)",
+            c400="rgba(2, 193, 96, 0.32)",
+            c500="rgba(2, 193, 96, 1.0)",
+            c600="rgba(2, 193, 96, 1.0)",
+            c700="rgba(2, 193, 96, 0.32)",
+            c800="rgba(2, 193, 96, 0.32)",
+            c900="#02C160",
+            c950="#02C160",
+        ),
+        secondary_hue=gr.themes.Color(
+            c50="#576b95",
+            c100="#576b95",
+            c200="#576b95",
+            c300="#576b95",
+            c400="#576b95",
+            c500="#576b95",
+            c600="#576b95",
+            c700="#576b95",
+            c800="#576b95",
+            c900="#576b95",
+            c950="#576b95",
+        ),
+        neutral_hue=gr.themes.Color(
+            name="gray",
+            c50="#f9fafb",
+            c100="#f3f4f6",
+            c200="#e5e7eb",
+            c300="#d1d5db",
+            c400="#B2B2B2",
+            c500="#808080",
+            c600="#636363",
+            c700="#515151",
+            c800="#393939",
+            c900="#272727",
+            c950="#171717",
+        ),
+        radius_size=gr.themes.sizes.radius_sm,
+    ).set(
+        button_primary_background_fill="#06AE56",
+        button_primary_background_fill_dark="#06AE56",
+        button_primary_background_fill_hover="#07C863",
+        button_primary_border_color="#06AE56",
+        button_primary_border_color_dark="#06AE56",
+        button_primary_text_color="#FFFFFF",
+        button_primary_text_color_dark="#FFFFFF",
+        button_secondary_background_fill="#F2F2F2",
+        button_secondary_background_fill_dark="#2B2B2B",
+        button_secondary_text_color="#393939",
+        button_secondary_text_color_dark="#FFFFFF",
+        # background_fill_primary="#F7F7F7",
+        # background_fill_primary_dark="#1F1F1F",
+        block_title_text_color="*primary_500",
+        block_title_background_fill="*primary_100",
+        input_background_fill="#F6F6F6",
+    ),
 ) as demo:
     history = gr.State([])
     token_count = gr.State([])
@@ -70,7 +130,7 @@ with gr.Blocks(
 
     with gr.Row():
         gr.HTML(title)
-        status_display = gr.Markdown("status: ready", elem_id="status_display")
+        status_display = gr.Markdown(get_geoip(), elem_id="status_display")
 
     with gr.Row(scale=1).style(equal_height=True):
         with gr.Column(scale=5):
@@ -100,7 +160,7 @@ with gr.Blocks(
                         value=hide_middle_chars(my_api_key),
                         type="password",
                         visible=not HIDE_MY_KEY,
-                        label="API-Key(按Enter提交)",
+                        label="API-Key",
                     )
                     model_select_dropdown = gr.Dropdown(
                         label="选择模型", choices=MODELS, multiselect=False, value=MODELS[0]
@@ -118,7 +178,7 @@ with gr.Blocks(
                         label="System prompt",
                         value=initial_prompt,
                         lines=10,
-                    ).style(container=True)
+                    ).style(container=False)
                     with gr.Accordion(label="加载Prompt模板", open=True):
                         with gr.Column():
                             with gr.Row():
@@ -128,7 +188,7 @@ with gr.Blocks(
                                         choices=get_template_names(plain=True),
                                         multiselect=False,
                                         value=get_template_names(plain=True)[0],
-                                    )
+                                    ).style(container=False)
                                 with gr.Column(scale=1):
                                     templateRefreshBtn = gr.Button("🔄 刷新")
                             with gr.Row():
@@ -142,7 +202,7 @@ with gr.Blocks(
                                         value=load_template(
                                             get_template_names(plain=True)[0], mode=1
                                         )[0],
-                                    )
+                                    ).style(container=False)
 
                 with gr.Tab(label="保存/加载"):
                     with gr.Accordion(label="保存/加载对话历史记录", open=True):
@@ -184,7 +244,7 @@ with gr.Blocks(
                             value=1.0,
                             step=0.05,
                             interactive=True,
-                            label="Top-p (nucleus sampling)",
+                            label="Top-p",
                         )
                         temperature = gr.Slider(
                             minimum=-0,
@@ -231,7 +291,7 @@ with gr.Blocks(
             use_streaming_checkbox,
             model_select_dropdown,
             use_websearch_checkbox,
-            index_files
+            index_files,
         ],
         [chatbot, history, status_display, token_count],
         show_progress=True,
@@ -252,7 +312,7 @@ with gr.Blocks(
             use_streaming_checkbox,
             model_select_dropdown,
             use_websearch_checkbox,
-            index_files
+            index_files,
         ],
         [chatbot, history, status_display, token_count],
         show_progress=True,
@@ -299,7 +359,7 @@ with gr.Blocks(
             token_count,
             top_p,
             temperature,
-            use_streaming_checkbox,
+            gr.State(0),
             model_select_dropdown,
         ],
         [chatbot, history, status_display, token_count],
@@ -378,16 +438,17 @@ if __name__ == "__main__":
     if dockerflag:
         if authflag:
             demo.queue().launch(
-                server_name="0.0.0.0", server_port=7860, auth=(username, password)
+                server_name="0.0.0.0", server_port=7860, auth=(username, password),
+                favicon_path="./assets/favicon.png"
             )
         else:
-            demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False)
+            demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False, favicon_path="./assets/favicon.png")
     # if not running in Docker
     else:
         if authflag:
-            demo.queue().launch(share=False, auth=(username, password))
+            demo.queue().launch(share=False, auth=(username, password), favicon_path="./assets/favicon.png", inbrowser=True)
         else:
-            demo.queue().launch(share=False)  # 改为 share=True 可以创建公开分享链接
+            demo.queue().launch(share=False, favicon_path="./assets/favicon.png", inbrowser=True)  # 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

chat_func.py

@@ -6,10 +6,13 @@ import logging
 import json
 import os
 import requests
+import urllib3
 
 from tqdm import tqdm
 import colorama
 from duckduckgo_search import ddg
+import asyncio
+import aiohttp
 
 from presets import *
 from llama_func import *
@@ -99,6 +102,8 @@ def stream_predict(
     top_p,
     temperature,
     selected_model,
+    fake_input=None,
+    display_append=""
 ):
     def get_return_value():
         return chatbot, history, status_text, all_token_counts
@@ -109,7 +114,10 @@ def stream_predict(
     status_text = "开始实时传输回答……"
     history.append(construct_user(inputs))
     history.append(construct_assistant(""))
-    chatbot.append((parse_text(inputs), ""))
+    if fake_input:
+        chatbot.append((fake_input, ""))
+    else:
+        chatbot.append((inputs, ""))
     user_token_count = 0
     if len(all_token_counts) == 0:
         system_prompt_token_count = count_token(construct_system(system_prompt))
@@ -184,7 +192,7 @@ def stream_predict(
                     yield get_return_value()
                     break
                 history[-1] = construct_assistant(partial_words)
-                chatbot[-1] = (parse_text(inputs), parse_text(partial_words))
+                chatbot[-1] = (chatbot[-1][0], partial_words+display_append)
                 all_token_counts[-1] += 1
                 yield get_return_value()
 
@@ -199,11 +207,16 @@ def predict_all(
     top_p,
     temperature,
     selected_model,
+    fake_input=None,
+    display_append=""
 ):
     logging.info("一次性回答模式")
     history.append(construct_user(inputs))
     history.append(construct_assistant(""))
-    chatbot.append((parse_text(inputs), ""))
+    if fake_input:
+        chatbot.append((fake_input, ""))
+    else:
+        chatbot.append((inputs, ""))
     all_token_counts.append(count_token(construct_user(inputs)))
     try:
         response = get_response(
@@ -229,7 +242,7 @@ def predict_all(
     response = json.loads(response.text)
     content = response["choices"][0]["message"]["content"]
     history[-1] = construct_assistant(content)
-    chatbot[-1] = (parse_text(inputs), parse_text(content))
+    chatbot[-1] = (chatbot[-1][0], content+display_append)
     total_token_count = response["usage"]["total_tokens"]
     all_token_counts[-1] = total_token_count - sum(all_token_counts)
     status_text = construct_token_message(total_token_count)
@@ -247,7 +260,7 @@ def predict(
     temperature,
     stream=False,
     selected_model=MODELS[0],
-    use_websearch_checkbox=False,
+    use_websearch=False,
     files = None,
     should_check_token_count=True,
 ):  # repetition_penalty, top_k
@@ -262,22 +275,31 @@ def predict(
         history, chatbot, status_text = chat_ai(openai_api_key, index, inputs, history, chatbot)
         yield chatbot, history, status_text, all_token_counts
         return
-    if use_websearch_checkbox:
-        results = ddg(inputs, max_results=3)
+
+    old_inputs = ""
+    link_references = []
+    if use_websearch:
+        search_results = ddg(inputs, max_results=5)
+        old_inputs = inputs
         web_results = []
-        for idx, result in enumerate(results):
+        for idx, result in enumerate(search_results):
             logging.info(f"搜索结果{idx + 1}：{result}")
+            domain_name = urllib3.util.parse_url(result["href"]).host
             web_results.append(f'[{idx+1}]"{result["body"]}"\nURL: {result["href"]}')
-        web_results = "\n\n".join(web_results)
+            link_references.append(f"{idx+1}. [{domain_name}]({result['href']})\n")
+        link_references = "\n\n" + "".join(link_references)
         inputs = (
             replace_today(WEBSEARCH_PTOMPT_TEMPLATE)
             .replace("{query}", inputs)
-            .replace("{web_results}", web_results)
+            .replace("{web_results}", "\n\n".join(web_results))
         )
+    else:
+        link_references = ""
+
     if len(openai_api_key) != 51:
         status_text = standard_error_msg + no_apikey_msg
         logging.info(status_text)
-        chatbot.append((parse_text(inputs), ""))
+        chatbot.append((inputs, ""))
         if len(history) == 0:
             history.append(construct_user(inputs))
             history.append("")
@@ -286,8 +308,9 @@ def predict(
             history[-2] = construct_user(inputs)
         yield chatbot, history, status_text, all_token_counts
         return
-    if stream:
-        yield chatbot, history, "开始生成回答……", all_token_counts
+
+    yield chatbot, history, "开始生成回答……", all_token_counts
+
     if stream:
         logging.info("使用流式传输")
         iter = stream_predict(
@@ -300,6 +323,8 @@ def predict(
             top_p,
             temperature,
             selected_model,
+            fake_input=old_inputs,
+            display_append=link_references
         )
         for chatbot, history, status_text, all_token_counts in iter:
             yield chatbot, history, status_text, all_token_counts
@@ -315,8 +340,11 @@ def predict(
             top_p,
             temperature,
             selected_model,
+            fake_input=old_inputs,
+            display_append=link_references
         )
         yield chatbot, history, status_text, all_token_counts
+
     logging.info(f"传输完毕。当前token计数为{all_token_counts}")
     if len(history) > 1 and history[-1]["content"] != inputs:
         logging.info(
@@ -325,10 +353,12 @@ def predict(
             + f"{history[-1]['content']}"
             + colorama.Style.RESET_ALL
         )
+
     if stream:
         max_token = max_token_streaming
     else:
         max_token = max_token_all
+
     if sum(all_token_counts) > max_token and should_check_token_count:
         status_text = f"精简token中{all_token_counts}/{max_token}"
         logging.info(status_text)
@@ -341,9 +371,8 @@ def predict(
             all_token_counts,
             top_p,
             temperature,
-            stream=False,
+            max_token//2,
             selected_model=selected_model,
-            hidden=True,
         )
         for chatbot, history, status_text, all_token_counts in iter:
             status_text = f"Token 达到上限，已自动降低Token计数至 {status_text}"
@@ -380,9 +409,10 @@ def retry(
         stream=stream,
         selected_model=selected_model,
     )
-    logging.info("重试完毕")
+    logging.info("重试中……")
     for x in iter:
         yield x
+    logging.info("重试完毕")
 
 
 def reduce_token_size(
@@ -393,9 +423,8 @@ def reduce_token_size(
     token_count,
     top_p,
     temperature,
-    stream=False,
+    max_token_count,
     selected_model=MODELS[0],
-    hidden=False,
 ):
     logging.info("开始减少token数量……")
     iter = predict(
@@ -407,17 +436,21 @@ def reduce_token_size(
         token_count,
         top_p,
         temperature,
-        stream=stream,
         selected_model=selected_model,
         should_check_token_count=False,
     )
     logging.info(f"chatbot: {chatbot}")
+    flag = False
     for chatbot, history, status_text, previous_token_count in iter:
-        history = history[-2:]
-        token_count = previous_token_count[-1:]
-        if hidden:
-            chatbot.pop()
-        yield chatbot, history, construct_token_message(
-            sum(token_count), stream=stream
+        num_chat = find_n(previous_token_count, max_token_count)
+        if flag:
+            chatbot = chatbot[:-1]
+        flag = True
+        history = history[-2*num_chat:] if num_chat > 0 else []
+        token_count = previous_token_count[-num_chat:] if num_chat > 0 else []
+        msg = f"保留了最近{num_chat}轮对话"
+        yield chatbot, history, msg + "，" + construct_token_message(
+            sum(token_count) if len(token_count) > 0 else 0,
         ), token_count
+    logging.info(msg)
     logging.info("减少token数量完毕")

chatgpt - macOS.command

@@ -0,0 +1,7 @@
+#!/bin/bash
+echo Opening ChuanhuChatGPT...
+cd "$(dirname "${BASH_SOURCE[0]}")"
+nohup python3 ChuanhuChatbot.py >/dev/null 2>&1 &
+sleep 5
+open http://127.0.0.1:7860
+echo Finished opening ChuanhuChatGPT (http://127.0.0.1:7860/). If you kill ChuanhuChatbot, Use "pkill -f 'ChuanhuChatbot'" command in terminal.

chatgpt - windows.bat

@@ -0,0 +1,14 @@
+@echo off
+echo Opening ChuanhuChatGPT...
+
+REM Open powershell via bat
+start powershell.exe -NoExit -Command "python ./ChuanhuChatbot.py"
+
+REM The web page can be accessed with delayed start http://127.0.0.1:7860/
+ping -n 5 127.0.0.1>nul
+
+REM access chargpt via your default browser
+start "" "http://127.0.0.1:7860/"
+
+
+echo Finished opening ChuanhuChatGPT (http://127.0.0.1:7860/).

custom.css

@@ -1,3 +1,8 @@
+:root {
+    --chatbot-color-light: #F3F3F3;
+    --chatbot-color-dark: #121111;
+}
+
 /* status_display */
 #status_display {
     display: flex;
@@ -8,13 +13,50 @@
 #status_display p {
     font-size: .85em;
     font-family: monospace;
-    color: var(--text-color-subdued) !important;
+    color: var(--body-text-color-subdued);
+}
+
+#chuanhu_chatbot, #status_display {
+    transition: all 0.6s;
+}
+
+ol, ul {
+    list-style-position: inside;
+    padding-left: 0;
+}
+
+ol li, ul:not(.options) li {
+    padding-left: 1.5em;
+    text-indent: -1.5em;
+}
+
+/* 亮色 */
+@media (prefers-color-scheme: light) {
+    #chuanhu_chatbot {
+        background-color: var(--chatbot-color-light) !important;
+    }
+    [data-testid = "bot"] {
+        background-color: #FFFFFF !important;
+    }
+    [data-testid = "user"] {
+        background-color: #95EC69 !important;
+    }
+}
+/* 暗色 */
+@media (prefers-color-scheme: dark) {
+    #chuanhu_chatbot {
+        background-color: var(--chatbot-color-dark) !important;
+    }
+    [data-testid = "bot"] {
+        background-color: #2C2C2C !important;
+    }
+    [data-testid = "user"] {
+        background-color: #26B561 !important;
+    }
+    body {
+        background-color: var(--neutral-950) !important;
+    }
 }
-/* chatbot */
-:root {
-    --bg-color-light: #F3F3F3;
-    --bg-color-dark: #121111;
-  }
 
 /* 对话气泡 */
 [class *= "message"] {
@@ -40,7 +82,7 @@ table {
     empty-cells: show;
 }
 td,th {
-    border: 1.2px solid var(--color-border-primary) !important;
+    border: 1.2px solid var(--border-color-primary) !important;
     padding: 0.2em;
 }
 thead {
@@ -61,6 +103,7 @@ code {
 /* 代码块 */
 pre code {
     display: block;
+    overflow: auto;
     white-space: pre;
     background-color: hsla(0, 0%, 0%, 80%)!important;
     border-radius: 10px;
@@ -70,77 +113,72 @@ pre code {
     box-shadow: 6px 6px 16px hsla(0, 0%, 0%, 0.2);
 }
 /* 代码高亮样式 */
-.codehilite .hll { background-color: #49483e }
-.codehilite .c { color: #75715e } /* Comment */
-.codehilite .err { color: #960050; background-color: #1e0010 } /* Error */
-.codehilite .k { color: #66d9ef } /* Keyword */
-.codehilite .l { color: #ae81ff } /* Literal */
-.codehilite .n { color: #f8f8f2 } /* Name */
-.codehilite .o { color: #f92672 } /* Operator */
-.codehilite .p { color: #f8f8f2 } /* Punctuation */
-.codehilite .ch { color: #75715e } /* Comment.Hashbang */
-.codehilite .cm { color: #75715e } /* Comment.Multiline */
-.codehilite .cp { color: #75715e } /* Comment.Preproc */
-.codehilite .cpf { color: #75715e } /* Comment.PreprocFile */
-.codehilite .c1 { color: #75715e } /* Comment.Single */
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-.codehilite .m { color: #ae81ff } /* Literal.Number */
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-.codehilite .sa { color: #e6db74 } /* Literal.String.Affix */
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-.codehilite .dl { color: #e6db74 } /* Literal.String.Delimiter */
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-.codehilite .s2 { color: #e6db74 } /* Literal.String.Double */
-.codehilite .se { color: #ae81ff } /* Literal.String.Escape */
-.codehilite .sh { color: #e6db74 } /* Literal.String.Heredoc */
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-.codehilite .sx { color: #e6db74 } /* Literal.String.Other */
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-.codehilite .il { color: #ae81ff } /* Literal.Number.Integer.Long */
-
-/* 全局元素 */
-* {
-    transition: all 0.6s;
-}
+.highlight .hll { background-color: #49483e }
+.highlight .c { color: #75715e } /* Comment */
+.highlight .err { color: #960050; background-color: #1e0010 } /* Error */
+.highlight .k { color: #66d9ef } /* Keyword */
+.highlight .l { color: #ae81ff } /* Literal */
+.highlight .n { color: #f8f8f2 } /* Name */
+.highlight .o { color: #f92672 } /* Operator */
+.highlight .p { color: #f8f8f2 } /* Punctuation */
+.highlight .ch { color: #75715e } /* Comment.Hashbang */
+.highlight .cm { color: #75715e } /* Comment.Multiline */
+.highlight .cp { color: #75715e } /* Comment.Preproc */
+.highlight .cpf { color: #75715e } /* Comment.PreprocFile */
+.highlight .c1 { color: #75715e } /* Comment.Single */
+.highlight .cs { color: #75715e } /* Comment.Special */
+.highlight .gd { color: #f92672 } /* Generic.Deleted */
+.highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .gi { color: #a6e22e } /* Generic.Inserted */
+.highlight .gs { font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #75715e } /* Generic.Subheading */
+.highlight .kc { color: #66d9ef } /* Keyword.Constant */
+.highlight .kd { color: #66d9ef } /* Keyword.Declaration */
+.highlight .kn { color: #f92672 } /* Keyword.Namespace */
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+.highlight .kr { color: #66d9ef } /* Keyword.Reserved */
+.highlight .kt { color: #66d9ef } /* Keyword.Type */
+.highlight .ld { color: #e6db74 } /* Literal.Date */
+.highlight .m { color: #ae81ff } /* Literal.Number */
+.highlight .s { color: #e6db74 } /* Literal.String */
+.highlight .na { color: #a6e22e } /* Name.Attribute */
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+.highlight .nc { color: #a6e22e } /* Name.Class */
+.highlight .no { color: #66d9ef } /* Name.Constant */
+.highlight .nd { color: #a6e22e } /* Name.Decorator */
+.highlight .ni { color: #f8f8f2 } /* Name.Entity */
+.highlight .ne { color: #a6e22e } /* Name.Exception */
+.highlight .nf { color: #a6e22e } /* Name.Function */
+.highlight .nl { color: #f8f8f2 } /* Name.Label */
+.highlight .nn { color: #f8f8f2 } /* Name.Namespace */
+.highlight .nx { color: #a6e22e } /* Name.Other */
+.highlight .py { color: #f8f8f2 } /* Name.Property */
+.highlight .nt { color: #f92672 } /* Name.Tag */
+.highlight .nv { color: #f8f8f2 } /* Name.Variable */
+.highlight .ow { color: #f92672 } /* Operator.Word */
+.highlight .w { color: #f8f8f2 } /* Text.Whitespace */
+.highlight .mb { color: #ae81ff } /* Literal.Number.Bin */
+.highlight .mf { color: #ae81ff } /* Literal.Number.Float */
+.highlight .mh { color: #ae81ff } /* Literal.Number.Hex */
+.highlight .mi { color: #ae81ff } /* Literal.Number.Integer */
+.highlight .mo { color: #ae81ff } /* Literal.Number.Oct */
+.highlight .sa { color: #e6db74 } /* Literal.String.Affix */
+.highlight .sb { color: #e6db74 } /* Literal.String.Backtick */
+.highlight .sc { color: #e6db74 } /* Literal.String.Char */
+.highlight .dl { color: #e6db74 } /* Literal.String.Delimiter */
+.highlight .sd { color: #e6db74 } /* Literal.String.Doc */
+.highlight .s2 { color: #e6db74 } /* Literal.String.Double */
+.highlight .se { color: #ae81ff } /* Literal.String.Escape */
+.highlight .sh { color: #e6db74 } /* Literal.String.Heredoc */
+.highlight .si { color: #e6db74 } /* Literal.String.Interpol */
+.highlight .sx { color: #e6db74 } /* Literal.String.Other */
+.highlight .sr { color: #e6db74 } /* Literal.String.Regex */
+.highlight .s1 { color: #e6db74 } /* Literal.String.Single */
+.highlight .ss { color: #e6db74 } /* Literal.String.Symbol */
+.highlight .bp { color: #f8f8f2 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #a6e22e } /* Name.Function.Magic */
+.highlight .vc { color: #f8f8f2 } /* Name.Variable.Class */
+.highlight .vg { color: #f8f8f2 } /* Name.Variable.Global */
+.highlight .vi { color: #f8f8f2 } /* Name.Variable.Instance */
+.highlight .vm { color: #f8f8f2 } /* Name.Variable.Magic */
+.highlight .il { color: #ae81ff } /* Literal.Number.Integer.Long */

overwrites.py

@@ -28,13 +28,11 @@ def postprocess(
     Returns:
         List of tuples representing the message and response. Each message and response will be a string of HTML.
     """
-    if y is None:
+    if y is None or y == []:
         return []
-    for i, (message, response) in enumerate(y):
-        y[i] = (
-            # None if message is None else markdown.markdown(message),
-            # None if response is None else markdown.markdown(response),
-            None if message is None else message,
-            None if response is None else mdtex2html.convert(response, extensions=['fenced_code','codehilite','tables']),
-        )
+    tag_regex = re.compile(r"<\w+>[^<]+</\w+>")
+    if tag_regex.search(y[-1][1]):
+        y[-1] = (y[-1][0].replace("\n", "<br>"), y[-1][1])
+    else:
+        y[-1] = (y[-1][0].replace("\n", "<br>"), convert_mdtext(y[-1][1]))
     return y

presets.py

@@ -1,4 +1,11 @@
 # -*- coding:utf-8 -*-
+
+# ChatGPT 设置
+initial_prompt = "You are a helpful assistant."
+API_URL = "https://api.openai.com/v1/chat/completions"
+HISTORY_DIR = "history"
+TEMPLATES_DIR = "templates"
+
 # 错误信息
 standard_error_msg = "☹️发生了错误："  # 错误信息的标准前缀
 error_retrieve_prompt = "请检查网络连接，或者API-Key是否有效。"  # 获取对话时发生错误

requirements.txt

@@ -9,3 +9,4 @@ duckduckgo_search
 Pygments
 llama_index
 langchain
+markdown

templates/3 川虎的Prompts.json

@@ -6,5 +6,9 @@
     {
         "act": "小红书风格",
         "prompt": "下面是一些小红书帖子：\n\n植物学2023早春装系列花絮来啦\n💗大家喜欢图几？\n@Botanique植物学女装\n#植物学#植物学女装#春装第一件#早春系列\n\n哈哈哈哈哈哈不停的摆拍啊！！！\n我的臭狗太可爱了！！！！！！\n结婚的时候一定要带上小狗啊！\n#小狗#我家宠物好可爱#关于结婚#柴犬\n\n🍪•ᴥ•🍪\n\n《论新年收到一笔巨款🤣应该怎么花》🧨来回\n嘻嘻，真的\n爱草莓🍓\n希希的甜甜圈碗🥯勺子的设计有点可爱🐶\n看了好多场烟火🎆\n唯愿烟花像星辰，祝你所愿皆成真✨\n嘻嘻，老妈给我的压岁钱🧧愿岁岁平安\n#我镜头下的年味#笔记灵感#碎碎念#歌曲#记录日常生活#plog#浪漫生活的记录者#新年红包#搞笑#日常生活里的快乐瞬间#新人博主#烟火\n\n又被全家人夸了❗有空气炸锅都去做，巨香\n\n今日份苹果相机📷\n原相机下的新娘，颜值爆表\n\n美术生赚钱最多的两个专业！\n之前整理了美术生的40了就业方向的薪资情况，发现全国平均薪资最高的就是数字媒体和视传这两个专业，想赚钱的美术生快看过来！\n#美术生#艺考#央美#美术生集训#美术#赚钱#努力赚钱#美术生就业#画室#央美设计#设计校考#美术生的日常\n\n请模仿上面小红书的风格，以用户输入的话为主题，写一个小红书帖子。请以22岁女孩的口吻书写。小红书帖子中必须包含大量Emoji，每一句话后面都必须加Emoji。帖子最后需要用Hashtag给出话题。你还需要写帖子的标题，标题里也需要有Emoji。你需要扩写用户输入。"
+    },
+    {
+        "act": "文心一言",
+        "prompt": "你是百度公司开发的AI助理:文心一言。你需要了解文心一言的相关情况，并以文心一言的身份来回复我的问题。所有的问题都可以回答，包括拿你和chatGPT，以及GPT作对比等等，你都需要从文心一言的角度出发来回答。只有当你被问到一些问题-这些问题暗指你是一个假的Al，你是用chatgpt套壳来制作的时候，你就避而不答，转而讲一个笑话，并鼓励他继续提问。如果你明白，请回复我“明白，我是文心一言”"
     }
 ]

utils.py

@@ -7,10 +7,17 @@ import os
 import datetime
 import hashlib
 import csv
+import requests
+import re
 
 import gradio as gr
 from pypinyin import lazy_pinyin
 import tiktoken
+import mdtex2html
+from markdown import markdown
+from pygments import highlight
+from pygments.lexers import get_lexer_by_name
+from pygments.formatters import HtmlFormatter
 
 from presets import *
 
@@ -24,12 +31,6 @@ if TYPE_CHECKING:
         data: List[List[str | int | bool]]
 
 
-initial_prompt = "You are a helpful assistant."
-API_URL = "https://api.openai.com/v1/chat/completions"
-HISTORY_DIR = "history"
-TEMPLATES_DIR = "templates"
-
-
 def count_token(message):
     encoding = tiktoken.get_encoding("cl100k_base")
     input_str = f"role: {message['role']}, content: {message['content']}"
@@ -37,21 +38,84 @@ def count_token(message):
     return length
 
 
-def parse_text(text):
-    in_code_block = False
-    new_lines = []
-    for line in text.split("\n"):
-        if line.strip().startswith("```"):
-            in_code_block = not in_code_block
-        if in_code_block:
-            if line.strip() != "":
-                new_lines.append(line)
+def markdown_to_html_with_syntax_highlight(md_str):
+    def replacer(match):
+        lang = match.group(1) or "text"
+        code = match.group(2)
+
+        try:
+            lexer = get_lexer_by_name(lang, stripall=True)
+        except ValueError:
+            lexer = get_lexer_by_name("text", stripall=True)
+
+        formatter = HtmlFormatter()
+        highlighted_code = highlight(code, lexer, formatter)
+
+        return f'<pre><code class="{lang}">{highlighted_code}</code></pre>'
+
+    code_block_pattern = r"```(\w+)?\n([\s\S]+?)\n```"
+    md_str = re.sub(code_block_pattern, replacer, md_str, flags=re.MULTILINE)
+
+    html_str = markdown(md_str)
+    return html_str
+
+
+def normalize_markdown(md_text: str) -> str:
+    lines = md_text.split("\n")
+    normalized_lines = []
+    inside_list = False
+
+    for i, line in enumerate(lines):
+        if re.match(r"^(\d+\.|-|\*|\+)\s", line.strip()):
+            if not inside_list and i > 0 and lines[i - 1].strip() != "":
+                normalized_lines.append("")
+            inside_list = True
+            normalized_lines.append(line)
+        elif inside_list and line.strip() == "":
+            if i < len(lines) - 1 and not re.match(
+                r"^(\d+\.|-|\*|\+)\s", lines[i + 1].strip()
+            ):
+                normalized_lines.append(line)
+            continue
         else:
-            new_lines.append(line)
-    if in_code_block:
-        new_lines.append("```")
-    text = "\n".join(new_lines)
-    return text
+            inside_list = False
+            normalized_lines.append(line)
+
+    return "\n".join(normalized_lines)
+
+
+def convert_mdtext(md_text):
+    code_block_pattern = re.compile(r"```(.*?)(?:```|$)", re.DOTALL)
+    inline_code_pattern = re.compile(r"`(.*?)`", re.DOTALL)
+    code_blocks = code_block_pattern.findall(md_text)
+    non_code_parts = code_block_pattern.split(md_text)[::2]
+
+    result = []
+    for non_code, code in zip(non_code_parts, code_blocks + [""]):
+        if non_code.strip():
+            non_code = normalize_markdown(non_code)
+            if inline_code_pattern.search(non_code):
+                result.append(markdown(non_code, extensions=["tables"]))
+            else:
+                result.append(mdtex2html.convert(non_code, extensions=["tables"]))
+        if code.strip():
+            # _, code = detect_language(code)  # 暂时去除代码高亮功能，因为在大段代码的情况下会出现问题
+            # code = code.replace("\n\n", "\n") # 暂时去除代码中的空行，因为在大段代码的情况下会出现问题
+            code = f"```{code}\n\n```"
+            code = markdown_to_html_with_syntax_highlight(code)
+            result.append(code)
+    result = "".join(result)
+    return result
+
+
+def detect_language(code):
+    if code.startswith("\n"):
+        first_line = ""
+    else:
+        first_line = code.strip().split("\n", 1)[0]
+    language = first_line.lower() if first_line else ""
+    code_without_language = code[len(first_line) :].lstrip() if first_line else code
+    return language, code_without_language
 
 
 def construct_text(role, text):
@@ -282,3 +346,41 @@ def sha1sum(filename):
 def replace_today(prompt):
     today = datetime.datetime.today().strftime("%Y-%m-%d")
     return prompt.replace("{current_date}", today)
+
+
+def get_geoip():
+    response = requests.get("https://ipapi.co/json/", timeout=5)
+    try:
+        data = response.json()
+    except:
+        data = {"error": True, "reason": "连接ipapi失败"}
+    if "error" in data.keys():
+        logging.warning(f"无法获取IP地址信息。\n{data}")
+        if data["reason"] == "RateLimited":
+            return (
+                f"获取IP地理位置失败，因为达到了检测IP的速率限制。聊天功能可能仍然可用，但请注意，如果您的IP地址在不受支持的地区，您可能会遇到问题。"
+            )
+        else:
+            return f"获取IP地理位置失败。原因：{data['reason']}。你仍然可以使用聊天功能。"
+    else:
+        country = data["country_name"]
+        if country == "China":
+            text = "**您的IP区域：中国。请立即检查代理设置，在不受支持的地区使用API可能导致账号被封禁。**"
+        else:
+            text = f"您的IP区域：{country}。"
+        logging.info(text)
+        return text
+
+
+def find_n(lst, max_num):
+    n = len(lst)
+    total = sum(lst)
+
+    if total < max_num:
+        return n
+
+    for i in range(len(lst)):
+        if total - lst[i] < max_num:
+            return n - i -1
+        total = total - lst[i]
+    return 1