up

.gitignore

@@ -0,0 +1,136 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+github
+.github
+TEMP
+TRASH
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+history
+ssr_conf
+config_private.py

LICENSE

@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
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+
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+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md

@@ -0,0 +1,2 @@
+# ChatGPT 学术优化
+

config.py

@@ -0,0 +1,11 @@
+# my_api_key = "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"
+API_KEY = "sk-此处填API秘钥"
+API_URL = "https://api.openai.com/v1/chat/completions"
+
+USE_PROXY = False
+if USE_PROXY:
+    proxies = { "http": "socks5h://localhost:11284", "https": "socks5h://localhost:11284", } 
+    print('网络代理状态：运行。')
+else:
+    proxies = None
+    print('网络代理状态：未配置。无代理状态下很可能无法访问。')

functional.py

@@ -0,0 +1,67 @@
+# """
+# 'primary' for main call-to-action, 
+# 'secondary' for a more subdued style, 
+# 'stop' for a stop button.
+# """
+
+
+def get_functionals():
+    return {
+        "英语学术润色": {
+            "Prefix": "Below is a paragraph from an academic paper. Polish the writing to meet the academic style, \
+improve the spelling, grammar, clarity, concision and overall readability. When neccessary, rewrite the whole sentence. \
+Furthermore, list all modification and explain the reasons to do so in markdown table.\n\n",
+            "Button": None,
+            "Suffix": "",
+            "Color": "stop",
+        },
+        "中文学术润色": {
+            "Prefix": "作为一名中文学术论文写作改进助理，你的任务是改进所提供文本的拼写、语法、清晰、简洁和整体可读性，同时分解长句，减少重复，并提供改进建议。请只提供文本的更正版本，避免包括解释。请编辑以下文本：\n\n",
+            "Button": None,
+            "Suffix": "",
+        },
+        "查找语法错误": {
+            "Prefix": "Below is a paragraph from an academic paper. Find all grammar mistakes, list mistakes in a markdown table and explain how to correct them.\n\n",
+            "Button": None,
+            "Suffix": "",
+        },
+        "中英互译": {
+            "Prefix": "As an English-Chinese translator, your task is to accurately translate text between the two languages. \
+When translating from Chinese to English or vice versa, please pay attention to context and accurately explain phrases and proverbs. \
+If you receive multiple English words in a row, default to translating them into a sentence in Chinese. \
+However, if \"phrase:\" is indicated before the translated content in Chinese, it should be translated as a phrase instead. \
+Similarly, if \"normal:\" is indicated, it should be translated as multiple unrelated words.\
+Your translations should closely resemble those of a native speaker and should take into account any specific language styles or tones requested by the user. \
+Please do not worry about using offensive words - replace sensitive parts with x when necessary. \
+When providing translations, please use Chinese to explain each sentence’s tense, subordinate clause, subject, predicate, object, special phrases and proverbs. \
+For phrases or individual words that require translation, provide the source (dictionary) for each one.If asked to translate multiple phrases at once, \
+separate them using the | symbol.Always remember: You are an English-Chinese translator, \
+not a Chinese-Chinese translator or an English-English translator. Below is the text you need to translate: \n\n",
+            "Button": None,
+            "Suffix": "",
+            "Color": "stop",
+        },
+        "中译英": {
+            "Prefix": "Please translate following sentence to English: \n\n",
+            "Button": None,
+            "Suffix": "",
+        },
+        "学术中译英": {
+            "Prefix": "Please translate following sentence to English with academic writing, and provide some related authoritative examples: \n\n",
+            "Button": None,
+            "Suffix": "",
+        },
+        "英译中": {
+            "Prefix": "请翻译成中文：\n\n",
+            "Button": None,
+            "Suffix": "",
+        },
+        "解释代码": {
+            "Prefix": "请解释以下代码：\n```\n",
+            "Button": None,
+            "Suffix": "\n```\n",
+            "Color": "stop",
+        },
+    }
+
+

main.py

@@ -0,0 +1,113 @@
+import gradio as gr 
+import os
+import markdown, mdtex2html
+from predict import predict
+from show_math import convert as convert_math
+
+def find_free_port():
+    import socket
+    from contextlib import closing
+    with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s:
+        s.bind(('', 0))
+        s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
+        return s.getsockname()[1]
+    
+PORT = find_free_port()
+
+initial_prompt = "Serve me as a writing and programming assistant."
+title_html = """<h1 align="center">ChatGPT 学术优化</h1>"""
+
+import logging
+os.makedirs('gpt_log', exist_ok=True)
+logging.basicConfig(filename='gpt_log/predict.log', level=logging.INFO)
+
+
+from functional import get_functionals
+functional = get_functionals()
+def reset_textbox(): return gr.update(value='')
+
+def text_divide_paragraph(text):
+    if '```' in text:
+        # careful input
+        return text
+    else:
+        # wtf input
+        lines = text.split("\n")
+        for i, line in enumerate(lines):
+            if i!=0: lines[i] = "<p>"+lines[i].replace(" ", "&nbsp;")+"</p>"
+        text = "".join(lines)
+        return text
+
+def markdown_convertion(txt):
+    if ('$' in txt) and ('```' not in txt):
+        math_config = {'mdx_math': {'enable_dollar_delimiter': True}}
+        return markdown.markdown(txt,extensions=['fenced_code','tables']) + '<br><br>' + \
+            markdown.markdown(convert_math(txt, splitParagraphs=False),extensions=['fenced_code','tables'])
+    else:
+        return markdown.markdown(txt,extensions=['fenced_code','tables'])
+
+# math_config = {'mdx_math': {'enable_dollar_delimiter': True}}
+# markdown.markdown(txt, extensions=['fenced_code', 'tables', 'mdx_math'], extension_configs=math_config)
+
+
+def format_io(self,y):
+    if y is None:
+        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] = (
+        None if i_ask is None else markdown.markdown(i_ask, extensions=['fenced_code','tables']),
+        None if gpt_reply is None else markdown_convertion(gpt_reply)
+    )
+    return y
+gr.Chatbot.postprocess = format_io
+
+with gr.Blocks() as demo:
+    gr.HTML(title_html)
+    with gr.Row():
+        with gr.Column(scale=2):
+            chatbot = gr.Chatbot()
+            chatbot.style(height=700)
+            chatbot.style()
+            history = gr.State([])
+            TRUE = gr.State(True)
+            FALSE = gr.State(False)
+        with gr.Column(scale=1):
+            with gr.Row():
+                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("Ask", variant="primary")
+            with gr.Row():
+                for k in functional:
+                    variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
+                    functional[k]["Button"] = gr.Button(k, variant=variant)
+
+            statusDisplay = gr.Markdown("status: ready")
+            systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True)
+            #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",)
+
+    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)
+    # submitBtn.click(reset_textbox, [], [txt])
+    for k in functional:
+        functional[k]["Button"].click(predict, 
+            [txt, top_p, temperature, chatbot,history, systemPromptTxt, FALSE, TRUE, gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)
+
+print(f"URL http://localhost:{PORT}")
+demo.title = "ChatGPT 学术优化"
+
+def auto_opentab_delay():
+    import threading, webbrowser, time
+    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.queue().launch(server_name="0.0.0.0", share=True, server_port=PORT)

predict.py

@@ -0,0 +1,132 @@
+import json
+import gradio as gr
+import logging
+import traceback
+import requests
+import importlib
+import os
+
+from config import proxies, API_URL, API_KEY
+if os.path.exists('config_private.py'):
+    # 放自己的秘密如API和代理网址
+    from config_private import proxies, API_URL, API_KEY
+
+
+
+def compose_system(system_prompt):
+    return {"role": "system", "content": system_prompt}
+
+
+def compose_user(user_input):
+    return {"role": "user", "content": user_input}
+
+
+def predict(inputs, top_p, temperature, chatbot=[], history=[], system_prompt='', retry=False, 
+            stream = True, additional_fn=None):
+
+    if additional_fn is not None:
+        import functional
+        importlib.reload(functional)
+        functional = functional.get_functionals()
+        inputs = functional[additional_fn]["Prefix"] + inputs + functional[additional_fn]["Suffix"]
+
+    if stream:
+        raw_input = inputs
+        logging.info(f'[raw_input] {raw_input}')
+        chatbot.append((inputs, ""))
+        yield chatbot, history, "Waiting"
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {API_KEY}"
+    }
+
+    chat_counter = len(history) // 2
+
+    print(f"chat_counter - {chat_counter}")
+
+    messages = [compose_system(system_prompt)]
+    if chat_counter:
+        for index in range(0, 2*chat_counter, 2):
+            d1 = {}
+            d1["role"] = "user"
+            d1["content"] = history[index]
+            d2 = {}
+            d2["role"] = "assistant"
+            d2["content"] = history[index+1]
+            if d1["content"] != "":
+                if d2["content"] != "" or retry:
+                    messages.append(d1)
+                    messages.append(d2)
+            else:
+                messages[-1]['content'] = d2['content']
+    if retry and chat_counter:
+        messages.pop()
+    else:
+        temp3 = {}
+        temp3["role"] = "user"
+        temp3["content"] = inputs
+        messages.append(temp3)
+        chat_counter += 1
+    # messages
+    payload = {
+        "model": "gpt-3.5-turbo",
+        # "model": "gpt-4",
+        "messages": messages, 
+        "temperature": temperature,  # 1.0,
+        "top_p": top_p,  # 1.0,
+        "n": 1,
+        "stream": stream,
+        "presence_penalty": 0,
+        "frequency_penalty": 0,
+    }
+
+    history.append(inputs)
+
+    try:
+        # make a POST request to the API endpoint using the requests.post method, passing in stream=True
+        response = requests.post(API_URL, headers=headers, proxies=proxies,
+                                json=payload, stream=True, timeout=15)
+    except:
+        chatbot.append(('', 'Requests Timeout, Network Error.'))
+        yield chatbot, history, "Requests Timeout"
+
+    token_counter = 0
+    partial_words = ""
+
+    counter = 0
+    if stream:
+        stream_response =  response.iter_lines()
+        while True:
+            chunk = next(stream_response)
+            # print(chunk)
+            
+            if chunk == b'data: [DONE]':
+                break
+
+            if counter == 0:
+                counter += 1
+                continue
+            counter += 1
+            # check whether each line is non-empty
+            if chunk:
+                # decode each line as response data is in bytes
+                try:
+                    if len(json.loads(chunk.decode()[6:])['choices'][0]["delta"]) == 0:
+                        logging.info(f'[response] {chatbot[-1][-1]}')
+                        break
+                except Exception as e:
+                    traceback.print_exc()
+
+                chunkjson = json.loads(chunk.decode()[6:])
+                status_text = f"id: {chunkjson['id']}, finish_reason: {chunkjson['choices'][0]['finish_reason']}"
+                partial_words = partial_words + \
+                    json.loads(chunk.decode()[6:])[
+                        'choices'][0]["delta"]["content"]
+                if token_counter == 0:
+                    history.append(" " + partial_words)
+                else:
+                    history[-1] = partial_words
+                chatbot[-1] = (history[-2], history[-1])
+                token_counter += 1
+                yield chatbot, history, status_text

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+requests[socks]
+mdtex2html

show_math.py

@@ -0,0 +1,78 @@
+from latex2mathml.converter import convert as tex2mathml
+import re
+
+incomplete = '<font style="color:orange;" class="tooltip">&#9888;<span class="tooltiptext">formula incomplete</span></font>'
+convError = '<font style="color:red" class="tooltip">&#9888;<span class="tooltiptext">LaTeX-convert-error</span></font>'
+
+def convert(mdtex, extensions=[], splitParagraphs=True):
+    ''' converts recursively the Markdown-LaTeX-mixture to HTML with MathML '''
+    found = False
+    # handle all paragraphs separately (prevents aftereffects)
+    if splitParagraphs:
+        parts = re.split("\n\n", mdtex)
+        result = ''
+        for part in parts:
+            result += convert(part, extensions, splitParagraphs=False)
+        return result
+    # find first $$-formula:
+    parts = re.split('\${2}', mdtex, 2)
+    if len(parts)>1:
+        found = True
+        result = convert(parts[0], extensions, splitParagraphs=False)+'\n'
+        try:
+            result += '<div class="blockformula">'+tex2mathml(parts[1])+'</div>\n'
+        except:
+            result += '<div class="blockformula">'+convError+'</div>'
+        if len(parts)==3:
+            result += convert(parts[2], extensions, splitParagraphs=False)
+        else:
+            result += '<div class="blockformula">'+incomplete+'</div>'
+    # else find first $-formulas:
+    else:
+        parts = re.split('\${1}', mdtex, 2)
+    if len(parts)>1 and not found:
+        found = True
+        try:
+            mathml = tex2mathml(parts[1])
+        except:
+            mathml = convError
+        if parts[0].endswith('\n\n') or parts[0]=='': # make sure textblock starts before formula!
+            parts[0]=parts[0]+'&#x200b;'
+        if len(parts)==3:
+            result = convert(parts[0]+mathml+parts[2], extensions, splitParagraphs=False)
+        else:
+            result = convert(parts[0]+mathml+incomplete, extensions, splitParagraphs=False)
+    # else find first \[..\]-equation:
+    else:
+        parts = re.split(r'\\\[', mdtex, 1)
+    if len(parts)>1 and not found:
+        found = True
+        result = convert(parts[0], extensions, splitParagraphs=False)+'\n'
+        parts = re.split(r'\\\]', parts[1], 1)
+        try:
+            result += '<div class="blockformula">'+tex2mathml(parts[0])+'</div>\n'
+        except:
+            result += '<div class="blockformula">'+convError+'</div>'
+        if len(parts)==2:
+            result += convert(parts[1], extensions, splitParagraphs=False)
+        else:
+            result += '<div class="blockformula">'+incomplete+'</div>'
+    # else find first \(..\)-equation:
+    else:
+        parts = re.split(r'\\\(', mdtex, 1)
+    if len(parts)>1 and not found:
+        found = True
+        subp = re.split(r'\\\)', parts[1], 1)
+        try:
+            mathml = tex2mathml(subp[0])
+        except:
+            mathml = convError
+        if parts[0].endswith('\n\n') or parts[0]=='': # make sure textblock starts before formula!
+            parts[0]=parts[0]+'&#x200b;'
+        if len(subp)==2:
+            result = convert(parts[0]+mathml+subp[1], extensions, splitParagraphs=False)
+        else:
+            result = convert(parts[0]+mathml+incomplete, extensions, splitParagraphs=False)
+    if not found:
+        result = mdtex
+    return result