update

.streamlit/_config.toml

@@ -0,0 +1,186 @@
+# Below are all the sections and options you can have in ~/.streamlit/config.toml.
+
+[global]
+
+# By default, Streamlit checks if the Python watchdog module is available and, if not, prints a warning asking for you to install it. The watchdog module is not required, but highly recommended. It improves Streamlit's ability to detect changes to files in your filesystem.
+# If you'd like to turn off this warning, set this to True.
+# Default: false
+# disableWatchdogWarning = false
+
+# If True, will show a warning when you run a Streamlit-enabled script via "python my_script.py".
+# Default: true
+# showWarningOnDirectExecution = true
+
+# DataFrame serialization.
+# Acceptable values: - 'legacy': Serialize DataFrames using Streamlit's custom format. Slow but battle-tested. - 'arrow': Serialize DataFrames using Apache Arrow. Much faster and versatile.
+# Default: "arrow"
+# dataFrameSerialization = "arrow"
+
+
+[logger]
+
+# Level of logging: 'error', 'warning', 'info', or 'debug'.
+# Default: 'info'
+# level = "info"
+
+# String format for logging messages. If logger.datetimeFormat is set, logger messages will default to `%(asctime)s.%(msecs)03d %(message)s`. See [Python's documentation](https://docs.python.org/2.6/library/logging.html#formatter-objects) for available attributes.
+# Default: "%(asctime)s %(message)s"
+# messageFormat = "%(asctime)s %(message)s"
+
+
+[client]
+
+# Whether to enable st.cache.
+# Default: true
+# caching = true
+
+# If false, makes your Streamlit script not draw to a Streamlit app.
+# Default: true
+# displayEnabled = true
+
+# Controls whether uncaught app exceptions are displayed in the browser. By default, this is set to True and Streamlit displays app exceptions and associated tracebacks in the browser.
+# If set to False, an exception will result in a generic message being shown in the browser, and exceptions and tracebacks will be printed to the console only.
+# Default: true
+# showErrorDetails = true
+
+
+[runner]
+
+# Allows you to type a variable or string by itself in a single line of Python code to write it to the app.
+# Default: true
+# The value below was set in /Users/yuanjie/.streamlit/config.toml
+magicEnabled = false
+
+# Install a Python tracer to allow you to stop or pause your script at any point and introspect it. As a side-effect, this slows down your script's execution.
+# Default: false
+# installTracer = false
+
+# Sets the MPLBACKEND environment variable to Agg inside Streamlit to prevent Python crashing.
+# Default: true
+# fixMatplotlib = true
+
+# Run the Python Garbage Collector after each script execution. This can help avoid excess memory use in Streamlit apps, but could introduce delay in rerunning the app script for high-memory-use applications.
+# Default: true
+# postScriptGC = true
+
+# Handle script rerun requests immediately, rather than waiting for script execution to reach a yield point. Enabling this will make Streamlit much more responsive to user interaction, but it can lead to race conditions in apps that mutate session_state data outside of explicit session_state assignment statements.
+# Default: false
+# fastReruns = false
+
+
+[server]
+
+# List of folders that should not be watched for changes. This impacts both "Run on Save" and @st.cache.
+# Relative paths will be taken as relative to the current working directory.
+# Example: ['/home/user1/env', 'relative/path/to/folder']
+# Default: []
+# folderWatchBlacklist = []
+
+# Change the type of file watcher used by Streamlit, or turn it off completely.
+# Allowed values: * "auto" : Streamlit will attempt to use the watchdog module, and falls back to polling if watchdog is not available. * "watchdog" : Force Streamlit to use the watchdog module. * "poll" : Force Streamlit to always use polling. * "none" : Streamlit will not watch files.
+# Default: "auto"
+# fileWatcherType = "auto"
+
+# Symmetric key used to produce signed cookies. If deploying on multiple replicas, this should be set to the same value across all replicas to ensure they all share the same secret.
+# Default: randomly generated secret key.
+# cookieSecret = "fb4103b4f96550d923a2a8178482538b61aa55fd3a76946bdf5dfbb71c518703"
+
+# If false, will attempt to open a browser window on start.
+# Default: false unless (1) we are on a Linux box where DISPLAY is unset, or (2) we are running in the Streamlit Atom plugin.
+# headless = false
+
+# Automatically rerun script when the file is modified on disk.
+# Default: false
+# runOnSave = false
+
+# The address where the server will listen for client and browser connections. Use this if you want to bind the server to a specific address. If set, the server will only be accessible from this address, and not from any aliases (like localhost).
+# Default: (unset)
+# address =
+
+# The port where the server will listen for browser connections.
+# Default: 8501
+# port = 8501
+
+# The base path for the URL where Streamlit should be served from.
+# Default: ""
+# baseUrlPath = ""
+
+# Enables support for Cross-Origin Request Sharing (CORS) protection, for added security.
+# Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`.
+# Default: true
+# enableCORS = true
+
+# Enables support for Cross-Site Request Forgery (XSRF) protection, for added security.
+# Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`.
+# Default: true
+# enableXsrfProtection = true
+
+# Max size, in megabytes, for files uploaded with the file_uploader.
+# Default: 200
+# maxUploadSize = 200
+
+# Max size, in megabytes, of messages that can be sent via the WebSocket connection.
+# Default: 200
+# maxMessageSize = 200
+
+# Enables support for websocket compression.
+# Default: false
+# enableWebsocketCompression = false
+
+
+[browser]
+
+# Internet address where users should point their browsers in order to connect to the app. Can be IP address or DNS name and path.
+# This is used to: - Set the correct URL for CORS and XSRF protection purposes. - Show the URL on the terminal - Open the browser
+# Default: 'localhost'
+# serverAddress = "localhost"
+
+# Whether to send usage statistics to Streamlit.
+# Default: true
+# gatherUsageStats = true
+
+# Port where users should point their browsers in order to connect to the app.
+# This is used to: - Set the correct URL for CORS and XSRF protection purposes. - Show the URL on the terminal - Open the browser
+# Default: whatever value is set in server.port.
+# serverPort = 8501
+
+
+[mapbox]
+
+# Configure Streamlit to use a custom Mapbox token for elements like st.pydeck_chart and st.map. To get a token for yourself, create an account at https://mapbox.com. It's free (for moderate usage levels)!
+# Default: ""
+# token = ""
+
+
+[deprecation]
+
+# Set to false to disable the deprecation warning for the file uploader encoding.
+# Default: true
+# showfileUploaderEncoding = true
+
+# Set to false to disable the deprecation warning for using the global pyplot instance.
+# Default: true
+# showPyplotGlobalUse = true
+
+
+[theme]
+
+# The preset Streamlit theme that your custom theme inherits from. One of "light" or "dark".
+# base =
+
+# Primary accent color for interactive elements.
+# primaryColor =
+
+# Background color for the main content area.
+# backgroundColor =
+
+# Background color used for the sidebar and most interactive widgets.
+# secondaryBackgroundColor =
+
+# Color used for almost all text.
+# textColor =
+
+# Font family for all text in the app, except code blocks. One of "sans serif", "serif", or "monospace".
+# font =
+
+

.streamlit/config.toml

@@ -0,0 +1,26 @@
+[theme]
+font = "monospace" # "sans serif"
+textColor = "#1F5BAC"
+primaryColor = "#1F5BAC"
+backgroundColor = "#FFFFFF"
+secondaryBackgroundColor = "#F5F7FA"
+
+[server]
+#port = 8501
+headless = true
+address = "0.0.0.0"
+#--server.enableXsrfProtection false
+#--server.enableCORS false
+#--server.enableWebsocketCompression=false
+
+[browser]
+gatherUsageStats = false
+#--browser.serverAddress 0.0.0.0
+#--browser.serverPort 8080
+
+#[global]
+#developmentMode = false
+
+#[general] # credentials.toml
+#email = "[email protected]
+

Dockerfile

@@ -0,0 +1,23 @@
+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u 1000 user
+# Switch to the "user" user
+USER user
+# Set home to the user's home directory
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+CMD ["sh", "run.sh"]

README.md

@@ -1,11 +1,12 @@
 ---
 title: Nice
-emoji: 💩
+emoji: 🔥
 colorFrom: purple
 colorTo: blue
 sdk: docker
 pinned: false
 license: apache-2.0
+app_port: 9955
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

_👋_.py

@@ -0,0 +1,9 @@
+import streamlit as st
+
+st.set_page_config(
+    page_title='Streamlit组件清单',
+    page_icon="📖",
+    layout="wide",
+    initial_sidebar_state="expanded",
+)
+st.text_input('业务搜索', '知识图谱')

git_init.sh

@@ -0,0 +1,9 @@
+#!/usr/bin/env bash
+
+#git config --global credential.helper store
+
+git add ./*
+git commit -m "update" # git commit --amend -m '重新commit'
+
+git pull
+git push -f

pages/0_留言板.py

@@ -0,0 +1,18 @@
+from meutils.pipe import *
+from appzoo.streamlit_app import Page
+
+import streamlit as st
+from streamlit.components.v1 import html, iframe
+
+
+class MyPage(Page):
+
+    def main(self):
+        text = ""
+        with open("./data/x.html") as fp:  # 如果遇到decode错误，就加上合适的encoding
+            text = fp.read()
+        html(text)
+
+
+if __name__ == '__main__':
+    MyPage().main()

pages/1000_文本标识.py

@@ -0,0 +1,38 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 8000_文本标识
+# @Time         : 2022/10/17 下午1:39
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+import streamlit as st
+from annotated_text import annotated_text, annotation
+
+annotated_text(
+    "我 ",
+    ("热爱", "", "#8ef"),
+    " 我们 ",
+    ("非常棒", "", "#faa"),
+    ("而", "", "#afa"),
+    " 有用的 ",
+    ("Streamlit", "", "#fea"),
+    ("社区", "", "#8ef"),
+    ("!", "", "#afa"),
+)
+
+annotated_text(
+    "I ",
+    ("Love", "", "#8ef"),
+    " our ",
+    ("Great", "", "#faa"),
+    ("and", "", "#afa"),
+    " Useful ",
+    ("Streamlit", "", "#fea"),
+    ("Community", "", "#8ef"),
+    ("!", "", "#afa"),
+)
+

pages/1001_多选组件.py

@@ -0,0 +1,51 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 1001_多选组件
+# @Time         : 2022/10/17 下午1:41
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+import streamlit as st
+from streamlit_tree_select import tree_select
+nodes = [
+    {"label": "北京", "value": "北京"},
+    {
+        "label": "上海",
+        "value": "上海",
+        "children": [
+            {"label": "浦东", "value": "浦东"},
+            {"label": "杨浦", "value": "杨浦"},
+            {"label": "虹口", "value": "虹口"},
+            {"label": "黄浦", "value": "黄浦"},
+        ],
+    },
+    {
+        "label": "广州",
+        "value": "广州",
+        "children": [
+            {"label": "番禺区", "value": "番禺区"},
+            {
+                "label": "白云区",
+                "value": "白云区",
+                "children": [
+                    {"label": "三元里街", "value": "三元里街"},
+                    {"label": "松洲街", "value": "松洲街"},
+                ],
+            },
+            {"label": "珠江新区", "value": "珠江新区"},
+        ],
+    },
+]
+
+c1, c2 = st.columns(2)
+
+with c1:
+
+    return_select = tree_select(nodes)
+
+with c2:
+    st.write(return_select["checked"])
+

pages/1002_pandas_profiling.py

@@ -0,0 +1,21 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 1002_profile
+# @Time         : 2022/10/17 下午2:34
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+import pandas as pd
+import pandas_profiling
+import streamlit as st
+
+from streamlit_pandas_profiling import st_profile_report
+
+df = pd.read_csv("./data/train.csv")
+pr = df.profile_report()
+
+st_profile_report(pr)

pages/1003_streamlit_authenticator.py

@@ -0,0 +1,92 @@
+from meutils.pipe import *
+
+import streamlit as st
+import streamlit_authenticator as stauth
+from streamlit_authenticator import Authenticate
+
+from streamlit_option_menu import option_menu
+
+# https://github.com/mkhorasani/Streamlit-Authenticator
+
+st.set_page_config(page_title="Platform tester", page_icon=":rainbow:", layout="centered", initial_sidebar_state="auto")
+# 如下代码数据，可以来自数据库
+hashed_passwords = stauth.Hasher(['123', '456']).generate()
+print(hashed_passwords)
+
+_ = f"""
+credentials:
+  usernames:
+    nesc:
+      email: [email protected]
+      name: nesc
+      password: {hashed_passwords[0]} # To be replaced with hashed password
+          
+    jsmith:
+      email: [email protected]
+      name: John Smith
+      password: 123 # To be replaced with hashed password
+
+    rbriggs:
+      email: [email protected]
+      name: Rebecca Briggs
+      password: 456 # To be replaced with hashed password
+
+    x:
+      email: [email protected]
+      name: x
+      password: xxx # To be replaced with hashed password
+cookie:
+  expiry_days: 30
+  key: some_signature_key
+  name: some_cookie_name
+preauthorized:
+  emails:
+  - [email protected]
+"""
+
+config = yaml.load(_)
+
+authenticator = Authenticate(
+    config['credentials'],
+    config['cookie']['name'],
+    config['cookie']['key'],
+    config['cookie']['expiry_days'],
+    config['preauthorized']
+)
+
+name, authentication_status, username = authenticator.login('Login', 'main')
+
+if authentication_status:
+    authenticator.logout('Logout', 'main')
+    st.write(f'Welcome *{name}*')
+    st.title('Some content')
+elif authentication_status == False:
+    st.error('Username/password is incorrect')
+elif authentication_status == None:
+    st.warning('Please enter your username and password')
+
+
+if authentication_status:
+    try:
+        if authenticator.reset_password(username, 'Reset password'):
+            st.success('Password modified successfully')
+    except Exception as e:
+        st.error(e)
+
+
+try:
+    if authenticator.register_user('Register user', preauthorization=False):
+        st.success('User registered successfully')
+except Exception as e:
+    st.error(e)
+
+
+try:
+    username_forgot_pw, email_forgot_password, random_password = authenticator.forgot_password('Forgot password')
+    if username_forgot_pw:
+        st.success('New password sent securely')
+        # Random password to be transferred to user securely
+    elif username_forgot_pw == False:
+        st.error('Username not found')
+except Exception as e:
+    st.error(e)

pages/1004_streamlit_option_menu.py

@@ -0,0 +1,33 @@
+from meutils.pipe import *
+
+import streamlit as st
+from streamlit_option_menu import option_menu
+
+st.set_page_config(page_title="Option Menu", layout="wide")
+with st.sidebar:
+    selected = option_menu("Main Menu", ["Home", "Upload", "---", "Tasks", 'Settings'],
+                           icons=['house', 'cloud-upload', None, "list-task", 'gear'], menu_icon="cast",
+                           default_index=1)
+
+selected2 = option_menu(None, ["Home", "Upload", "---", "Tasks", 'Settings'],
+                        icons=['house', 'cloud-upload', None, "list-task", 'gear'],
+                        menu_icon="cast", default_index=0, orientation="horizontal")
+
+selected3 = option_menu(None, ["Home", "Upload", "Tasks", 'Settings'],
+                        icons=['house', 'cloud-upload', "list-task", 'gear'],
+                        menu_icon="cast", default_index=0, orientation="horizontal",
+                        styles={
+                            "container": {"padding": "0!important", "background-color": "#fafafa"},
+                            "icon": {"color": "orange", "font-size": "25px"},
+                            "nav-link": {"font-size": "25px", "text-align": "left", "margin": "0px",
+                                         "--hover-color": "#eee"},
+                            "nav-link-selected": {"background-color": "green"},
+                        }
+                        )
+
+# choice = option_menu(
+#     "Menu", ["首页", "HIVE", "KUDU", "MYSQL"],
+#     icons=['house', 'chat-square', 'chat-square-dots', 'chat-square-text'], menu_icon="hammer",
+#     default_index=0)
+
+# df.style.set_precision

pages/111_📚_PDF简单表格提取.py

@@ -0,0 +1,38 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 111_📚_PDF简单表格提取
+# @Time         : 2022/11/3 下午6:09
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+from appzoo.streamlit_app import Page
+import streamlit as st
+from st_aggrid import AgGrid
+
+import camelot
+
+
+class MyPage(Page):
+
+    def main(self):
+        with st.form("Coding"):
+            file = st.file_uploader("选择待上传的PDF文件", type=['pdf', 'docx', 'xlsx'])
+            if file:
+                open(file.name, 'wb').write(file.read())
+
+            if st.form_submit_button('开始转换'):
+                tables = camelot.read_pdf(file.name)
+                df = tables[0].df
+                print(df)
+
+                st.dataframe(df)
+
+
+if __name__ == '__main__':
+    app_title = "# 切词"
+    app_info = ""
+    MyPage(app_title=app_title, app_info=app_info, layout='wide').main()

pages/112_📚_简单的配置界面.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 111_📚_PDF简单表格提取
+# @Time         : 2022/11/3 下午6:09
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+from appzoo.streamlit_app import Page
+import streamlit as st
+from meutils.pipe import *
+from meutils.path_utils import file2json
+
+
+class MyPage(Page):
+
+    def main(self):
+        cfg = file2json(get_resolve_path('../data/config.yml', __file__) )
+        st.json(cfg)
+
+
+if __name__ == '__main__':
+    app_title = "# 配置"
+    MyPage(app_title=app_title, layout='wide').main()

pages/113_💰_穿透.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 111_📚_PDF简单表格提取
+# @Time         : 2022/11/3 下午6:09
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+from appzoo.streamlit_app import Page
+import streamlit as st
+from meutils.pipe import *
+from meutils.path_utils import file2json
+
+
+class MyPage(Page):
+
+    def main(self):
+        cfg = file2json(get_resolve_path('../data/config.yml', __file__) )
+        st.json(cfg)
+
+
+if __name__ == '__main__':
+    app_title = "# 配置"
+    MyPage(app_title=app_title, layout='wide').main()

pages/1_🔥_模型生成代码.py

@@ -0,0 +1,56 @@
+from meutils.pipe import *
+from appzoo.streamlit_app import Page
+
+import streamlit as st
+
+import m2cgen as m2c
+
+
+class MyPage(Page):
+
+    def main(self):
+        with st.form("Coding"):
+            file = st.file_uploader('上传默模型文件')
+            if file:
+                estimator = joblib.load(file)
+            else:
+                estimator = joblib.load(get_resolve_path('../data/lr.pkl', __file__))
+
+            languages = [
+                'python',
+                'java',
+                'go',
+                'c',
+                'c_sharp',
+                'r',
+                'dart',
+                'elixir',
+                'f_sharp',
+                'haskell',
+                'javascript',
+                'php',
+                'powershell',
+                'ruby',
+                'rust',
+                'visual_basic'
+            ]
+
+            _ = st.selectbox('选择输出语言', languages)
+
+            if st.form_submit_button('开始转换'):
+                code = m2c.__getattribute__(f'export_to_{_}')(estimator)
+
+                st.markdown("##### code:")
+                st.code(code)
+
+
+
+if __name__ == '__main__':
+    app_title = "ModelToCode"
+    app_info = """
+    将训练过的统计模型转化为本地代码(`Python, C, Java, Go, JavaScript, Visual Basic, c#， PowerShell, R, PHP, Dart, Haskell, Ruby, f#， Rust, Elixir`)。
+    """
+    MyPage(
+        app_title=f"# {app_title}",
+        app_info=f"> {app_info}",
+    ).main()

pages/2_📚_PDF预览.py

@@ -0,0 +1,53 @@
+from meutils.pipe import *
+from appzoo.streamlit_app import Page
+
+import streamlit as st
+import streamlit.components.v1 as components
+
+class MyPage(Page):
+    """
+    https://zhuanlan.zhihu.com/p/518115802?utm_medium=social&utm_oi=1290068536690085888
+    """
+
+    def main(self):
+
+
+        with st.form("PDF"):
+            file = st.file_uploader("选择待上传的PDF文件", type=['pdf', 'docx', 'xlsx'])
+
+            if st.form_submit_button('开始预览', help='先上传文件！！！'):
+                if file is not None:
+                    base64_pdf = base64.b64encode(file.read()).decode('utf-8')
+
+                    self.display_pdf(base64_pdf, width='100%', height=1000)
+                    self.display_html()
+
+    def display_pdf(self, base64_pdf, width='100%', height=1000):
+        # https://blog.51cto.com/laok8/2395498
+        pdf_display = f"""<embed src="data:application/pdf;base64,{base64_pdf}" width="{width}" height="{height}" type="application/pdf">"""
+        # data_type = 'vnd.openxmlformats-officedocument.wordprocessingml.document'
+        # pdf_display = f"""<embed src="data:application/{data_type};base64,{base64_pdf}" width="{width}" height="{height}" type="application/{data_type}">"""
+
+        st.markdown(pdf_display, unsafe_allow_html=True)
+
+    def display_html(self, text='会飞的文字'):
+        _ = f"""
+        <marquee direction="down" width="100%" height="100%" behavior="alternate" style="border:solid"  bgcolor="#00FF00">
+
+          <marquee behavior="alternate">
+
+            {text}
+
+          </marquee>
+
+        </marquee>
+        """
+        st.markdown(_, unsafe_allow_html=True)
+
+if __name__ == '__main__':
+    app_title = "# PDF应用"
+    app_info = "PDF预览"
+    MyPage(
+        app_title=app_title,
+        app_info=app_info,
+    ).main()

pages/3_🐧_分词.py

@@ -0,0 +1,47 @@
+from meutils.pipe import *
+
+from appzoo.streamlit_app import Page
+
+import streamlit as st
+
+from LAC import LAC as _LAC
+
+LAC = st.experimental_singleton(_LAC)
+
+
+# @st.cache(func=None, persist=False, hash_funcs={'LAC.lac.LAC': str})
+# def tokenizer():
+#     print('Loading tokenizer1...')
+#     return LAC()
+
+@ttl_cache(key=str)
+@disk_cache()
+def tokenizer(texts):
+    return LAC().run(texts)  | xmap_(lambda r: list(zip(*r)))
+
+
+class MyPage(Page):
+
+    def main(self):
+        with st.form("Coding"):
+
+            texts = st.text_area("输入文本", ["为什么东北证券那么牛？"]*3 | xjoin('\n')).split("\n")
+
+            if st.form_submit_button('开始转换'):
+                _ = tokenizer(texts)
+
+                # st.json(_)
+                # st.text(_)
+                # st.dataframe(pd.DataFrame(_))
+
+
+                from annotated_text import annotated_text
+
+                for text in _:
+                    annotated_text(*text)
+
+
+if __name__ == '__main__':
+    app_title = "# 切词"
+    app_info = ""
+    MyPage(app_title=app_title, app_info=app_info).main()

pages/4_🤩_Apps.py

@@ -0,0 +1,23 @@
+import streamlit as st
+from urllib.parse import urlencode, parse_qs, parse_qsl, quote_plus, unquote_plus
+
+# query_params = st.session_state.get("initial_query_params", {})
+query_params = st.experimental_get_query_params()
+query_params = {k: v[0] for k, v in query_params.items()}
+
+
+# st.experimental_set_query_params(parse_qs('a=b&c=d')) # parse_qs
+st.write("Initial query params of the session:", query_params)
+
+if query_params.get('appid') == '1':
+    st.markdown("# App1")
+
+elif query_params.get('appid') == '2':
+    st.markdown("# App2")
+
+
+import time
+
+st.session_state.file = time.time()
+
+st.write(st.session_state.file)

pages/5_👍_Postman.py

@@ -0,0 +1,28 @@
+from meutils.pipe import *
+from meutils.request_utils import request4retry
+
+from appzoo.streamlit_app import Page
+
+import streamlit as st
+from streamlit.components.v1 import html, iframe
+
+
+class MyPage(Page):
+
+    def main(self):
+        with st.form("Coding"):
+            col, *_ = st.columns(4)
+            method = col.selectbox('method', ['GET', 'POST'])
+
+            url = st.text_input('url')
+            data = st.text_area('data', {})
+            data = json.loads(data)
+            kwargs = {}
+
+            if st.form_submit_button("开始请求"):
+                _ = requests.request(method, url, json=data, **kwargs)
+                return st.json(_)
+
+
+if __name__ == '__main__':
+    MyPage(layout='wide').main()

pages/6666_🐧_hr.py

@@ -0,0 +1,50 @@
+from meutils.pipe import *
+
+from appzoo.streamlit_app import Page
+
+import streamlit as st
+
+from aip import AipOcr
+
+APP_ID, API_KEY, SECRET_KEY = "25308860,GmAPqlyBDNLaoAqO2mrFhjS2,vXIoxFUdx2jiuRnGLvZSDMEczEaZsc1K".split(',')
+
+client = AipOcr(APP_ID, API_KEY, SECRET_KEY)
+
+""" 读取图片 """
+
+
+def get_file_content(filePath):
+    with open(filePath, 'rb') as fp:
+        return fp.read()
+
+
+""" 如果有可选参数 """
+options = {}
+options["language_type"] = "CHN_ENG"
+options["detect_direction"] = "true"
+options["detect_language"] = "true"
+options["probability"] = "true"
+
+
+class MyPage(Page):
+
+    def main(self):
+        with st.form("Coding"):
+            file = st.file_uploader("请上传不动产证明😄", "")
+
+            if st.form_submit_button('开始认证'):
+                if file:
+                    r = client.basicGeneral(file.read())
+                    r = '\n'.join(list(map(lambda d: d.get('words'), r['words_result'][4:11])))
+                    st.text(r)
+
+                else:
+                    st.markdown("# 请上传不动产证明😄再点认证👆🏻")
+                    _ = '2022年11月16日，根据查询人\n张三李四\n申请，经查询，结果如下：\n编号：\n202211160344242218\n坐落\n雨花台区西善桥街道云上润府观庭 - 6幢6单元2206室'
+                    st.text(_)
+
+
+if __name__ == '__main__':
+    app_title = "# 认证"
+    app_info = ""
+    MyPage(app_title=app_title, app_info=app_info).main()

pages/666_😝_TEST.py

@@ -0,0 +1,69 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 666_😝_TEST
+# @Time         : 2023/3/9 上午10:28
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : https://github.com/streamlit/example-app-commenting/blob/main/streamlit_app.py
+
+
+"""
+不断刷新数据图表
+https://blog.csdn.net/qq_42761569/article/details/123418493
+http://cw.hubwiz.com/card/c/streamlit-manual/1/6/13/
+"""
+import altair as alt
+
+
+def get_chart(data):
+    # 鼠标悬停
+    hover = alt.selection_single(
+        fields=["date"],
+        nearest=True,
+        on="mouseover",
+        empty="none",
+    )
+
+    lines = (
+        alt.Chart(data, title="Evolution of stock prices")
+        .mark_line()
+        .encode(
+            x="date",
+            y="price",
+            color="symbol",
+            strokeDash="symbol",
+        )
+    )
+
+    # Draw points on the line, and highlight based on selection
+    points = lines.transform_filter(hover).mark_circle(size=65)
+
+    # Draw a rule at the location of the selection
+    tooltips = (
+        alt.Chart(data)
+        .mark_rule()
+        .encode(
+            x="date",
+            y="price",
+            opacity=alt.condition(hover, alt.value(0.3), alt.value(0)),
+            tooltip=[
+                alt.Tooltip("date", title="Date"),
+                alt.Tooltip("price", title="Price (USD)"),
+            ],
+        )
+        .add_selection(hover)
+    )
+
+    return (lines + points + tooltips).interactive()
+
+
+# source = data.stocks()
+# all_symbols = source.symbol.unique()
+# symbols = st.multiselect("Choose stocks to visualize", all_symbols, all_symbols[:3])
+#
+#
+# source = source[source.symbol.isin(symbols)]
+# chart = get_chart(source)
+# st.altair_chart(chart, use_container_width=True)

pages/66_🔥_ASCII字符画.py

@@ -0,0 +1,107 @@
+import streamlit as st
+from numpy import load
+from numpy import expand_dims
+from matplotlib import pyplot
+from PIL import Image, ImageDraw, ImageFont, ImageFile
+import numpy as np
+import os
+
+st.set_page_config(page_title='ASCII字符画生成器', page_icon="🅰", layout="wide")
+
+st.header("上传一张图片生成ASCII字符画")
+
+ImageFile.LOAD_TRUNCATED_IMAGES = True
+Image.MAX_IMAGE_PIXELS = None
+
+color_fornt = st.sidebar.color_picker('选择前景色', '#00b8e6')
+color_background = st.sidebar.color_picker('选择背景色', '#ffffff')
+
+sc_control = st.sidebar.slider('选择密度参数1', 0.1, 0.9, 0.5, 0.1)
+gcf_control = st.sidebar.slider('选择密度参数2', 0.5, 4.5, 2.1, 0.1)
+
+uploaded_file = st.file_uploader("选择一张图片", type=["png", "jpg", "bmp", "jpeg"])
+
+
+@st.cache()
+def asciiart(in_f, SC, GCF, out_f, bgcolor=color_background):
+    chars = np.asarray(list(' .,:irs?@9B&#*$%!~'))
+
+    font = ImageFont.load_default()
+    letter_width = font.getsize("x")[0]
+    letter_height = font.getsize("x")[1]
+    WCF = letter_height / letter_width
+    img = Image.open(in_f)
+    widthByLetter = round(img.size[0] * SC * WCF)
+    heightByLetter = round(img.size[1] * SC)
+    S = (widthByLetter, heightByLetter)
+    img = img.resize(S)
+    img = np.sum(np.asarray(img), axis=2)
+    img -= img.min()
+    img = (1.0 - img / img.max()) ** GCF * (chars.size - 1)
+    lines = ("\n".join(("".join(r) for r in chars[img.astype(int)]))).split("\n")
+    nbins = len(lines)
+    newImg_width = letter_width * widthByLetter
+    newImg_height = letter_height * heightByLetter
+    newImg = Image.new("RGBA", (newImg_width, newImg_height), bgcolor)
+    draw = ImageDraw.Draw(newImg)
+    leftpadding = 0
+    y = 0
+    lineIdx = 0
+
+    for line in lines:
+        color = color_fornt
+        lineIdx += 1
+        draw.text((leftpadding, y), line, color, font=font)
+        y += letter_height
+
+    newImg.save(out_f)
+
+
+@st.cache()
+def load_image(filename, size=(512, 512)):
+    pixels = load_img(filename, target_size=size)
+    pixels = img_to_array(pixels)
+    pixels = (pixels - 127.5) / 127.5
+    pixels = expand_dims(pixels, 0)
+    return pixels
+
+
+@st.cache()
+def imgGen2(img1):
+    inputf = img1
+    SC = sc_control
+    GCF = gcf_control
+    asciiart(inputf, SC, GCF, "results.png", color_background)
+    img = Image.open(img1)
+    img2 = Image.open('results.png').resize(img.size)
+
+    return img2
+
+
+# 下载按钮效果设置
+css = """<style>
+.stDownloadButton>button {
+    background-color: #0099ff;
+    color:#ffffff;
+}
+
+.stDownloadButton>button:hover {
+    background-color: green;
+    color:white;
+    }
+</style>
+"""
+st.markdown(css, unsafe_allow_html=True)
+
+if uploaded_file is not None:
+    st.sidebar.image(uploaded_file, caption='原始图片', use_column_width=True)
+    im = imgGen2(uploaded_file)
+    st.image(im, width=700)
+    with open("results.png", "rb") as file:
+        # st.image("图片.jpg")
+        btn = st.download_button(
+            label="点我下载生成的ASCII字符画",
+            data=file,
+            file_name="ASCII字符画.png",
+            mime="image/png"
+        )

pages/6_🕷_coding.py

@@ -0,0 +1,20 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 6_🕷_coding
+# @Time         : 2022/10/27 下午4:54
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+import streamlit as st
+
+from streamlit_ace import st_ace
+
+# Spawn a new Ace editor
+content = st_ace()
+
+# Display editor's content as you type
+content

pages/7_登录.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 7_登录
+# @Time         : 2023/3/14 下午4:02
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+import wenxin_api
+from wenxin_api.tasks.text_to_image import TextToImage
+
+import streamlit as st
+import streamlit_authenticator as stauth
+from streamlit_authenticator import Authenticate
+
+# ME
+from meutils.pipe import *
+
+st.set_page_config(page_title="文本标注平台", page_icon=":rainbow:", layout="centered", initial_sidebar_state="auto")
+
+# 如下代码数据，可以来自数据库
+admin_password = '123456'
+
+_ = f"""
+credentials:
+  usernames:
+    admin:
+      email: [email protected]
+      name: admin
+      password: {stauth.Hasher([admin_password]).generate()[0]} # To be replaced with hashed password
+
+cookie:
+  expiry_days: 30
+  key: some_signature_key
+  name: some_cookie_name
+preauthorized:
+
+  emails:
+  - [email protected]
+"""
+
+config = yaml.safe_load(_)
+
+authenticator = Authenticate(
+    config['credentials'],
+    config['cookie']['name'],
+    config['cookie']['key'],
+    config['cookie']['expiry_days'],
+    config['preauthorized']
+)
+
+name, authentication_status, username = authenticator.login('图像生成系统', 'main')
+
+if authentication_status:
+    authenticator.logout('退出', 'sidebar')
+    st.write('# 图像生成系统')
+
+elif authentication_status == False:
+    st.error('Username/password is incorrect')
+
+# elif authentication_status == None:
+#     st.warning('Please enter your username and password')

pages/888_🌰_demo.py

@@ -0,0 +1,29 @@
+from urllib.parse import urlencode, parse_qs
+import streamlit as st
+
+
+st.json(st.session_state)
+initial_query_params = st.session_state.get("initial_query_params")
+query_params = {k: v[0] for k, v in st.experimental_get_query_params().items()}
+if not initial_query_params:
+    initial_query_params = query_params.copy()
+    st.session_state["initial_query_params"] = initial_query_params.copy()
+
+st.write("Initial query params of the session:", initial_query_params)
+st.write("Query params before setting new ones:", query_params)
+
+new_query_string = st.text_area("New query params string (like 'a=b&c=d')", value=urlencode(initial_query_params))
+if st.button("Set new query params without starting new session"):
+    st.experimental_set_query_params(**parse_qs(new_query_string))
+
+with st.sidebar:
+    st.markdown("---")
+    st.markdown(
+        '<h6>Made in &nbsp<img src="https://streamlit.io/images/brand/streamlit-mark-color.png" alt="Streamlit logo" height="16">&nbsp by <a href="https://twitter.com/andfanilo">@andfanilo</a></h6>',
+        unsafe_allow_html=True,
+    )
+    st.markdown(
+        '<div style="margin-top: 0.75em;"><a href="https://www.buymeacoffee.com/andfanilo" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" height="41" width="174"></a></div>',
+        unsafe_allow_html=True,
+    )
+st.json(st.session_state)

pages/889_机器监控.py

@@ -0,0 +1,118 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 991_streamlit_apex_charts
+# @Time         : 2022/10/17 上午10:48
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+import psutil
+import streamlit as st
+import time
+import datetime
+from streamlit_autorefresh import st_autorefresh
+from streamlit_apex_charts import bar_chart, pie_chart
+import pandas as pd
+import platform
+import os
+
+
+st.set_page_config(page_title="系统信息查看器", page_icon="💻", layout="wide")
+
+#st_autorefresh(interval=5000, limit=100000, key="Mr.R")
+
+st.header("系统信息查看器")
+base_infor = [[datetime.datetime.now().strftime("%Y-%m-%d %H: %M: %S"),str(psutil.users()[0][0]),platform.platform()]]
+df_base_infor = pd.DataFrame(base_infor, columns=["当前时间","登陆者","操作系统"])
+st.table(df_base_infor)
+
+#获取网卡名称
+def get_key():
+    key_info = psutil.net_io_counters(pernic=True).keys()  # 获取网卡名称
+    recv = {}
+    sent = {}
+    for key in key_info:
+        recv.setdefault(key, psutil.net_io_counters(pernic=True).get(key).bytes_recv)  # 各网卡接收的字节数
+        sent.setdefault(key, psutil.net_io_counters(pernic=True).get(key).bytes_sent)  # 各网卡发送的字节数
+    return key_info, recv, sent
+
+#获取网卡速率
+def get_rate(func):
+    key_info, old_recv, old_sent = func()  # 上一秒收集的数据
+    time.sleep(1)
+    key_info, now_recv, now_sent = func()  # 当前所收集的数据
+    net_in = {}
+    net_out = {}
+    for key in key_info:
+        net_in.setdefault(key, (now_recv.get(key) - old_recv.get(key)) / 1024)  # 每秒接收速率
+        net_out.setdefault(key, (now_sent.get(key) - old_sent.get(key)) / 1024) # 每秒发送速率
+    return key_info, net_in, net_out
+
+
+c1, c2, c3 = st.columns(3)
+
+with c1:
+    #内存
+    mem = psutil.virtual_memory()
+    zj = float(mem.total) / 1024 / 1024 / 1024
+    ysy = float(mem.used) / 1024 / 1024 / 1024
+    kx = float(mem.free) / 1024 / 1024 / 1024
+
+    data_neicun = [[round(ysy,2),round(kx, 2)]]
+    df_neicun = pd.DataFrame(data_neicun, columns=["已用内存","空闲内存"])
+    pie_chart("内存使用情况(GB)", df_neicun)
+
+
+    #CPU
+    cpu_liyonglv = (str(psutil.cpu_percent(1))) + '%'
+    cpu_data = [[cpu_liyonglv]]
+    df_cpu = pd.DataFrame(cpu_data, columns=["CPU利用率"])
+    bar_chart("CPU利用率(%)", df_cpu)
+
+with c2:
+    #磁盘
+    dk = psutil.disk_usage('/')
+    total = dk.total / 1024 / 1024 / 1024
+    used = dk.used / 1024 / 1024 / 1024
+    free = dk.free / 1024 / 1024 / 1024
+
+    cipan_shiyong = [[used, free]]
+    df_cipan = pd.DataFrame(cipan_shiyong, columns=["已使用磁盘大小","空闲磁盘大小"])
+    pie_chart("磁盘使用率(%)", df_cipan)
+
+    #网络速率
+    key_info, net_in, net_out = get_rate(get_key)
+    wangka_liuliang = []
+    for key in key_info:
+             wangka_liuliang.append([net_in.get(key),net_out.get(key)])
+    speed_internet = wangka_liuliang
+    df_speed = pd.DataFrame(speed_internet, columns=["下行速率","上行速率"])
+    bar_chart("网络速率(kb/s)", df_speed)
+
+
+
+with c3:
+    #进程信息
+    pids = psutil.pids()
+    process = []
+    for pid in pids:
+        p = psutil.Process(pid)
+        process_name = p.name()
+        process.append([pid, process_name, p.is_running()])
+
+    df_process = pd.DataFrame(process, columns=["PID","进程名","是否还在运行"])
+    st.dataframe(df_process)
+
+    # #已安装软件
+    # import wmi
+    # c = wmi.WMI()
+    # software_list = []
+    # for s in c.Win32_Product():
+    #     software_list.append([s.Caption, s.Vendor, s.Version])
+    # if len(software_list)>1:
+    #     st.dataframe(pd.DataFrame(software_list, columns=["名称","发布人","版本"]))
+    # else:
+    #     st.info("正在导出已安装的软件程序列表")

pages/8_内容审核.py

@@ -0,0 +1,74 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 8_内容审核
+# @Time         : 2023/3/15 上午10:40
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : pip install baidu-aip
+
+
+
+
+from functools import lru_cache
+from aip import AipImageCensor, AipOcr
+
+_ = """
+31294942	
+d8pnIpxUaZ7ce65StreDuOY0
+lldWlW574LV8n3mIG2xQvcL6Wa7MXi5q
+""".strip().split()
+ai = AipImageCensor(*_)
+
+@lru_cache()
+def text_censor(text='一群垃圾去找小姐'):
+    data = ai.textCensorUserDefined(text).get('data', [])
+    rst = []
+    for _ in data:
+        d = {}
+        d['msg'] = _['msg']
+        hits = _['hits']
+        d['words'] = sum([hit['words'] for hit in hits], [])
+        rst.append(d)
+    return rst if rst else ['合规']
+
+@lru_cache()
+def image_censor(img): # open('hao123 logo.png', 'rb').read()
+    data = ai.imageCensorUserDefined(img).get('data', [])
+    rst = []
+    for _ in data:
+        d = {}
+        d['msg'] = _['msg']
+        # hits = _['hits']
+        # d['words'] = sum([hit['words'] for hit in hits], [])
+        rst.append(d)
+    return rst if rst else ['合规']
+
+import streamlit as st
+
+tab1, tab2, tab3 = st.tabs(["文本审核", "图片审核", "视频审核"])
+
+with tab1:
+    st.header("文本审核")
+    text= st.text_input('请输入文本', value='一群垃圾去找小姐')
+    button = st.button('开始审核文本')
+    if button:
+        st.json(text_censor(text))
+
+with tab2:
+    st.header("图像审核")
+    file = st.file_uploader('请上传图片')
+    button = st.button('开始审核图片')
+
+    if file and button:
+        col1, col2 = st.columns(2)
+        with col1:
+            st.image(file)
+        with col2:
+            st.json(image_censor(file.read()))
+
+
+
+with tab3:
+    st.header("视频审核")

pages/990_streamlit_autorefresh.py

@@ -0,0 +1,19 @@
+import streamlit as st
+from streamlit_autorefresh import st_autorefresh
+
+# Run the autorefresh about every 2000 milliseconds (2 seconds) and stop
+# after it's been refreshed 100 times.
+count = st_autorefresh(interval=2000, limit=100, key="fizzbuzzcounter")
+
+# The function returns a counter for number of refreshes. This allows the
+# ability to make special requests at different intervals based on the count
+if count == 0:
+    st.write("Count is zero")
+elif count % 3 == 0 and count % 5 == 0:
+    st.write("FizzBuzz")
+elif count % 3 == 0:
+    st.write("Fizz")
+elif count % 5 == 0:
+    st.write("Buzz")
+else:
+    st.write(f"Count: {count}")

pages/991_streamlit_apex_charts.py

@@ -0,0 +1,19 @@
+import numpy as np
+import pandas as pd
+import streamlit as st
+from streamlit_apex_charts import line_chart, bar_chart, pie_chart, area_chart, radar_chart
+
+st.set_page_config(layout="wide")
+
+df = pd.DataFrame(np.random.randint(1, 10, size=(10, 3)), columns=['Apple', 'Microsoft', 'Google'])
+
+line_chart('Line chart', df)
+c1, c2 = st.columns(2)
+with c1:
+    bar_chart('Bar chart', df)
+    pie_chart('Pie chart', df)
+with c2:
+    area_chart('Area chart', df)
+    radar_chart('Radar chart', df)
+
+# https://discuss.streamlit.io/t/new-component-streamlit-apex-charts/18769/3

pages/992_streamlit_chat.py

@@ -0,0 +1,25 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 991_streamlit_apex_charts
+# @Time         : 2022/10/17 上午10:48
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+import streamlit as st
+from streamlit_chat import message
+
+message_history = ["你好！我是你的电影小助手，很高兴为您服务。"]
+
+for message_ in message_history:
+    message(message_, avatar_style='adventurer')  # display all the previous message
+
+placeholder = st.empty()  # placeholder for latest message
+input_ = st.text_input("请向我提问:")
+message_history.append(input_)
+
+with placeholder.container():
+    # message(message_history[-1], avatar_style='adventurer')  # display the latest message
+    message(message_history[-1], is_user=True)  # align's the message to the right
+

pages/993_streamlit_text_rating.py

@@ -0,0 +1,11 @@
+from streamlit_text_rating.st_text_rater import st_text_rater
+
+
+import streamlit as st
+
+
+st.title("Awesome App")
+for text in ["Is this text helpful?", "Do you like this text?"]:
+    response = st_text_rater(text=text)
+    st.write(f"response --> {response}")
+

pages/994_自定义style.py

@@ -0,0 +1,39 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 994_自定义style
+# @Time         : 2022/10/17 上午11:45
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+import streamlit as st
+from streamlit.components.v1 import html
+
+st.button('button背景色？换一个吧')
+st.text_area('del', placeholder='Label多余？删了就好')
+st.radio('想放大label字号, 修改字体吗？', ['想', '很想'])
+
+st.markdown('''<style>
+/* radio label字号、字体 */
+#root > div:nth-child(1) > div > div > div > div > section > div > div:nth-child(1) > div > div:nth-child(3) > div > label {
+     font-size: 50px;
+     font-family: "Times New Roman", serif;
+}
+/* button背景色 */ 
+#root > div:nth-child(1) > div > div > div > div > section > div > div:nth-child(1) > div > div:nth-child(1) > div > button {
+    background-color: black;
+    color: white;
+}
+/* radio选中项颜色 */
+#root > div:nth-child(1) > div > div > div > div > section > div > div:nth-child(1) > div > div:nth-child(3) > div > div > label:nth-child(1) > div.st-co.st-cs.st-ct.st-cu.st-cv.st-cw.st-az.st-b4.st-cx.st-cy.st-cz.st-d0.st-d1.st-d2.st-c4.st-d3.st-d4.st-d5.st-b2.st-bl {
+     background-color: black;
+}
+</style>''', unsafe_allow_html=True)
+
+js_delete = '''window.parent.document.querySelector("#root > div:nth-child(1) > div > div > div > div > section > div > div:nth-child(1) > div > div:nth-child(2) > div > label").remove()'''
+html(f'''<script>{js_delete}</script>''',
+     width=0,
+     height=0)

pages/995_streamlit_echarts.py

@@ -0,0 +1,25 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 995_streamlit_echarts
+# @Time         : 2022/10/17 下午12:11
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+from streamlit_echarts import st_echarts
+
+options = {
+    "xAxis": {
+        "type": "category",
+        "data": ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"],
+    },
+    "yAxis": {"type": "value"},
+    "series": [
+        {"data": [820, 932, 901, 934, 1290, 1330, 1320], "type": "line"}
+    ],
+}
+st_echarts(options=options)
+

pages/996_streamlit_pyecharts.py

@@ -0,0 +1,73 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 995_streamlit_echarts
+# @Time         : 2022/10/17 下午12:11
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+from pyecharts import options as opts
+from pyecharts.charts import Bar, WordCloud
+from streamlit_echarts import st_pyecharts
+import streamlit as st
+
+
+# st.markdown(open('xx.html').read(), unsafe_allow_html=True)
+
+tab1, tab2, tab3 = st.tabs(["Bar", "WordCloud", "Owl"])
+
+with tab1:
+    b = (
+        Bar()
+            .add_xaxis(["Microsoft", "Amazon", "IBM", "Oracle", "Google", "Alibaba"])
+            .add_yaxis(
+            "2017-2018 Revenue in (billion $)", [21.2, 20.4, 10.3, 6.08, 4, 2.2]
+        )
+            .set_global_opts(
+            title_opts=opts.TitleOpts(
+                title="Top cloud providers 2018", subtitle="2017-2018 Revenue"
+            ),
+            toolbox_opts=opts.ToolboxOpts(),
+        )
+    )
+    st_pyecharts(b)
+
+with tab2:
+    pairs = [('中国', 33),
+             ('苹果', 24),
+             ('奚梦瑶', 20),
+             ('美国', 16),
+             ('特朗普', 16),
+             ('何猷君', 15),
+             ('戛纳', 13),
+             ('红毯', 12),
+             ('iPhone', 12),
+             ('车队', 9),
+             ('车祸', 9),
+             ('优衣', 9),
+             ('信息', 9),
+             ('李亚鹏', 9),
+             ('恋情', 9),
+             ('任素', 9),
+             ('男孩', 9),
+             ('亚洲', 8),
+             ('孩子', 8),
+             ('大学生', 8)]
+    shapes = ['circle', 'cardioid', 'diamond', 'triangle-forward', 'triangle', 'pentagon', 'star']
+
+    wc = (
+        WordCloud()
+            .add("WordCloud", data_pair=pairs, shape=shapes[0], width='900px', height='500px')
+
+            .set_global_opts(
+            title_opts=opts.TitleOpts(
+                title="WordCloud", subtitle="WordCloud"
+            ),
+            toolbox_opts=opts.ToolboxOpts(), )
+    )
+
+    st_pyecharts(wc)
+
+

pages/997_streamlit_aggrid.py

@@ -0,0 +1,24 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 997_streamlit_aggrid
+# @Time         : 2022/10/17 下午1:14
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+from st_aggrid import AgGrid
+import pandas as pd
+
+df = pd.read_csv('./data/airline-safety.csv')
+AgGrid(df)
+
+# from st_aggrid import AgGrid, DataReturnMode, GridUpdateMode, GridOptionsBuilder
+# options_builder = GridOptionsBuilder.from_dataframe(df)
+# options_builder.configure_default_column(groupable=True, value=True, enableRowGroup=True, aggFunc='sum', editable=True, wrapText=True, autoHeight=True)
+# options_builder.configure_column('col1',  pinned='left')
+# options_builder.configure_column('col2',  pinned='left')
+# grid_options = options_builder.build()
+# grid_return = AgGrid(df, grid_options, theme='blue')

pages/998_streamlit_agraph.py

@@ -0,0 +1,49 @@
+import streamlit as st
+from streamlit_agraph import agraph, Node, Edge, Config
+
+
+c1, c2 = st.columns(2)
+
+
+with c1:
+
+    nodes = []
+    edges = []
+    nodes.append(Node(id="Spiderman",
+                      label="Peter Parker",
+                      size=25,
+                      shape="circularImage",
+                      image="http://marvel-force-chart.surge.sh/marvel_force_chart_img/top_spiderman.png")
+                 )  # includes **kwargs
+    nodes.append(Node(id="Captain_Marvel",
+                      size=25,
+                      shape="circularImage",
+                      image="http://marvel-force-chart.surge.sh/marvel_force_chart_img/top_captainmarvel.png")
+                 )
+    edges.append(Edge(source="Captain_Marvel",
+                      label="friend_of",
+                      target="Spiderman",
+                      # **kwargs
+                      )
+                 )
+
+    config = Config(width=500,
+                    height=500,
+                    # **kwargs
+                    )
+
+    return_value = agraph(nodes=nodes, edges=edges, config=config)
+
+with c2:
+    # Currently not workin since update to agraph 2.0 - work in progress
+    from rdflib import Graph
+    from streamlit_agraph import TripleStore, agraph
+
+    graph = Graph()
+    graph.parse("http://www.w3.org/People/Berners-Lee/card")
+    store = TripleStore()
+
+    for subj, pred, obj in graph:
+        store.add_triple(subj, pred, obj, "")
+
+    agraph(list(store.getNodes()), list(store.getEdges()), config)

pages/998_知识图谱.py

@@ -0,0 +1,39 @@
+import streamlit as st
+from streamlit_agraph import agraph, Node, Edge, Config
+
+from meutils.pipe import *
+
+Node = lru_cache(100000)(Node)
+Edge = lru_cache(100000)(Edge)
+
+
+def df2nodes(df_nodes):  # df.itertuples()
+    df_nodes.columns = ['k', 'v', 'r']
+
+    nodes = set()
+    edges = set()
+
+    for source, target, label in tqdm(df_nodes.values, 'Triplet'):
+        node_s = Node(source, label=source)
+        node_t = Node(target, label=target)
+
+        edge = Edge(source, target, label=label)
+
+        nodes.update([node_s, node_t])
+        edges.update([edge])
+    return nodes, edges
+
+
+# df = pd.read_excel("~/Desktop/simple.xlsx", sheet_name="links")
+df = pd.read_csv('~/Desktop/tt.csv').tail(500)
+
+
+nodes, edges = df2nodes(df)
+
+config = Config(width=1000, height=1000)
+
+
+st.set_page_config(page_title="Knowledge Graph", page_icon="💗", layout="wide")
+return_value = agraph(nodes=nodes, edges=edges, config=config)
+
+del df, nodes, edges

pages/999_draw_table.py

@@ -0,0 +1,129 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 999_draw_table
+# @Time         : 2022/10/17 下午1:36
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+
+import streamlit as st
+import pandas as pd
+import streamlit.components.v1 as components
+
+st.set_page_config(page_icon="🌴", page_title="Tabulator表格", layout="wide")
+
+file = st.file_uploader("请上传文件", type=["csv"])
+
+if file is not None:
+    df = pd.read_csv(file, encoding="gbk")
+
+
+    def draw_table(df, height, width):
+        columns = df.columns
+        column_selection = []
+        column_selection.append(
+            """<select id="filter-field" style="font-size:15px;background:white;color:black;border-radius:15%;border-color:grey;">""")
+        for i in range(len(columns)):
+            column_selection.append(
+                """<option value='""" + str(columns[i]) + """'>""" + str(columns[i]) + """</option>""")
+        column_selection.append("""</select>""")
+        table_data = df.to_dict(orient="records")
+        column_setting = []
+        column_setting.append(
+            """{rowHandle:true, formatter:"handle", headerSort:false, frozen:true, width:30, minWidth:30}""")
+        for y in range(df.shape[1]):
+            column_setting.append(
+                {"title": columns[y], "field": columns[y], "width": 200, "sorter": "string", "hozAlign": "center",
+                 "headerFilter": "input", "editor": "input"})
+
+        components.html("""
+        <!DOCTYPE html>
+        <html lang="en">
+        <head>
+            <meta charset="UTF-8">
+            <meta name="viewport" content="width=device-width, initial-scale=1.0">
+            <title>Tabulator Example</title>
+            <link href="https://unpkg.com/[email protected]/dist/css/tabulator_modern.min.css" rel="stylesheet">
+            <script type="text/javascript" src="https://unpkg.com/[email protected]/dist/js/tabulator.min.js"></script>
+            <script type="text/javascript" src="https://moment.github.io/luxon/global/luxon.min.js"></script>
+            <script type="text/javascript" src="https://oss.sheetjs.com/sheetjs/xlsx.full.min.js"></script>
+        </head><body>
+            <div style="margin-left:30%;">""" + "".join(column_selection) +
+                        """<select id="filter-type" style="font-size:15px;background:#00ccff;color:white;border-radius:15%;border-color:white;">
+                            <option value="like">like</option>
+                            <option value="=">=</option>
+                            <option value="<"><</option>
+                            <option value="<="><=</option>
+                            <option value=">">></option>
+                            <option value=">=">>=</option>
+                            <option value="!=">!=</option>
+                          </select>
+                          <input id="filter-value" type="text" placeholder="填写要筛选的内容" style="font-size:15px;border-color:grey;border-radius:5%">
+                          <button id="filter-clear" style="font-size:15px;background:#00ccff;color:white;border-radius:15%;border-color:white;">清除筛选</button>
+                          <button id="download-csv" style="font-size:15px;background:#00ccff;color:white;border-radius:15%;border-color:white;">下载CSV</button>
+                          <button id="download-xlsx" style="font-size:15px;background:#00ccff;color:white;border-radius:15%;border-color:white;">下载XLSX</button>
+                          <button id="download-html" style="font-size:15px;background:#00ccff;color:white;border-radius:15%;border-color:white;">下载HTML</button>
+                        </div><script type="text/javascript">
+                            var fieldEl = document.getElementById("filter-field");
+                            var typeEl = document.getElementById("filter-type");
+                            var valueEl = document.getElementById("filter-value");
+                            function customFilter(data){
+                                return data.car && data.rating < 3;
+                            }function updateFilter(){
+                              var filterVal = fieldEl.options[fieldEl.selectedIndex].value;
+                              var typeVal = typeEl.options[typeEl.selectedIndex].value;
+                              var filter = filterVal == "function" ? customFilter : filterVal;
+                              if(filterVal == "function" ){
+                                typeEl.disabled = true;
+                                valueEl.disabled = true;
+                              }else{
+                                typeEl.disabled = false;
+                                valueEl.disabled = false;
+                              }
+                              if(filterVal){
+                                table.setFilter(filter,typeVal, valueEl.value);
+                              }
+                            }
+                            document.getElementById("filter-field").addEventListener("change", updateFilter);
+                            document.getElementById("filter-type").addEventListener("change", updateFilter);
+                            document.getElementById("filter-value").addEventListener("keyup", updateFilter);
+                            document.getElementById("filter-clear").addEventListener("click", function(){
+                              fieldEl.value = "";
+                              typeEl.value = "=";
+                              valueEl.value = "";
+                              table.clearFilter();
+                            });
+                        </script>
+                        <script type="text/javascript">
+                            var table = new Tabulator("#example-table", {
+                                ajaxURL:"http://www.getmydata.com/now",
+                            });
+                            document.getElementById("download-csv").addEventListener("click", function(){
+                                table.download("csv", "data.csv");
+                            });
+                            document.getElementById("download-xlsx").addEventListener("click", function(){
+                                table.download("xlsx", "data.xlsx", {sheetName:"My Data"});
+                            });
+                            document.getElementById("download-html").addEventListener("click", function(){
+                                table.download("html", "data.html", {style:true});
+                            });
+                        </script><div id="players" style="margin-left:16%;"></div>""" +
+                        """<script type="text/javascript">
+                            var tabledata = [""" + ','.join(list(map(str, table_data))) + """];""" +
+                        """var table = new Tabulator("#players", {
+                                height: 320,
+                                data: tabledata,
+                                layout: "fitDataTable",
+                                movableRows:true,
+                                resizableColumnFit:true,
+                                pagination: "local",
+                                paginationSize: 5,
+                                tooltips: true,
+                                columns: [""" + ','.join(list(map(str, column_setting))) + """],});</script></body></html>""",
+                        height=height, width=width)
+
+
+    draw_table(df, 500, 1200)

pages/__init__.py

@@ -0,0 +1,11 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : AI.  @by PyCharm
+# @File         : __init__.py
+# @Time         : 2023/3/26 19:23
+# @Author       : betterme
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+from meutils.pipe import *

pages/chart.py

@@ -0,0 +1,20 @@
+import streamlit as st
+import graphviz as graphviz
+
+# Create a graphlib graph object
+graph = graphviz.Digraph()
+graph.edge('run', 'intr')
+graph.edge('intr', 'runbl')
+graph.edge('runbl', 'run')
+graph.edge('run', 'kernel')
+graph.edge('kernel', 'zombie')
+graph.edge('kernel', 'sleep')
+graph.edge('kernel', 'runmem')
+graph.edge('sleep', 'swap')
+graph.edge('swap', 'runswap')
+graph.edge('runswap', 'new')
+graph.edge('runswap', 'runmem')
+graph.edge('new', 'runmem')
+graph.edge('sleep', 'runmem')
+
+st.graphviz_chart(graph)

pages/demo-aggrid-width-center.py

@@ -0,0 +1,64 @@
+import streamlit as st
+import pandas as pd
+from st_aggrid import AgGrid
+# from st_aggrid.grid_options_builder import GridOptionsBuilder
+# from st_aggrid.shared import JsCode
+# from st_aggrid.shared import GridUpdateMode
+
+num=range(1,10)
+data=pd.DataFrame({'A':num,'B':num,'C':num})
+
+gridOptions = {
+    "columnDefs": [
+        {'headerName':'A列',"field": 'A','width':80,'cellStyle':{'color':'red','textAlign': 'center','font-weight':'bold'}},
+        #此外还可以设置minWidth 与maxWidth来控制宽度
+        {'headerName':'B列',"field": 'B','width':144,'cellStyle':{'color':'red','textAlign': 'center','font-weight':'bold'}},
+        {'headerName':'C列',"field": 'C','width':80,'cellStyle':{'color':'red','textAlign': 'center','font-weight':'bold'}}
+    ],
+    "defaultColDef": {
+        "sortable": True,
+        "filter": False,
+        # "width":200    #可以设置各行的默认值
+    },
+}
+
+
+data_ag = AgGrid(data,  # 数据
+                 gridOptions=gridOptions,  # 布局选项
+                 # fit_columns_on_grid_load=True,  #此参数会以列宽为比例自动铺满表格
+                 allow_unsafe_jscode=True,
+                 key=1,
+                 custom_css={'.ag-header-cell-text':{'flex':'1','text-align':'center'}})  #此处是设置列名居中
+
+#可配合st.columns来设置表格的整体宽度
+c1,c2=st.columns(2)
+with c1:
+    AgGrid(data,  # 数据
+         gridOptions=gridOptions,  # 布局选项
+         allow_unsafe_jscode=True,
+         key=2,
+         custom_css={'.ag-header-cell-text': {'flex': '1', 'text-align': 'center'}})
+
+#铺满表格
+c1,c2=st.columns(2)
+with c1:
+    AgGrid(data,  # 数据
+         gridOptions=gridOptions,  # 布局选项
+         allow_unsafe_jscode=True,
+         fit_columns_on_grid_load=True,
+         key=3,
+         custom_css={'.ag-header-cell-text': {'flex': '1', 'text-align': 'center'}})
+
+#铺满且居中
+c1,c2,c3=st.columns([1,2,1])
+with c2:
+    AgGrid(data,  # 数据
+         gridOptions=gridOptions,  # 布局选项
+         allow_unsafe_jscode=True,
+         fit_columns_on_grid_load=True,
+         key=4,
+         custom_css={'.ag-header-cell-text': {'flex': '1', 'text-align': 'center'}})
+
+
+
+

pages/iframe.py

@@ -0,0 +1,36 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : AI.  @by PyCharm
+# @File         : iframe
+# @Time         : 2023/4/6 11:43
+# @Author       : betterme
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+from meutils.pipe import *
+
+html = """
+<!DOCTYPE html>
+<html>
+<head>
+	<title>My Website</title>
+	<style>
+		iframe {
+			width: 100%;
+			height: 100%;
+			border: none;
+			overflow: hidden;
+		}
+	</style>
+</head>
+<body>
+	<iframe src="http://www.hao123.com/"></iframe>
+</body>
+</html>
+"""
+
+import streamlit as st
+
+
+st.write(html, unsafe_allow_html=True)

pages/xxxx.py

@@ -0,0 +1,9 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : xxxx
+# @Time         : 2022/12/7 上午9:04
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 

pages/多轮对话.py

@@ -0,0 +1,53 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : Python.
+# @File         : 991_streamlit_apex_charts
+# @Time         : 2022/10/17 上午10:48
+# @Author       : yuanjie
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+import streamlit as st
+from streamlit_chat import message
+
+
+def reply(input, history=None, reply_func=lambda input: f'{input}的答案', max_turns=3, container=None):
+    if history is None:
+        history = []  # [(query, response)]
+
+    if container is None:
+        container = st.container()
+
+    with container:
+        if len(history) > 0:
+            for i, (query, response) in enumerate(history[-max_turns + 1:]):
+                message(query, avatar_style="big-smile", is_user=True, key=str(i) + "_user")
+                message(response, avatar_style="bottts", is_user=False, key=str(i))
+
+        message(input, avatar_style="big-smile", is_user=True, key=str(len(history)) + "_user")
+        # st.write("AI正在回复:")
+        with st.empty():
+            response = reply_func(input)
+            message(response, avatar_style="bottts", is_user=False)
+
+    history.append((input, response))
+    return history
+
+
+if __name__ == '__main__':
+    def display_previous_message(texts=None):
+        if texts:
+            for msg in texts:
+                message(msg, avatar_style="bottts")  # display all the previous message
+
+
+    display_previous_message(["你好！我是你的电影小助手，很高兴为您服务。", "你可以向我提问。"])
+
+    container = st.container()  # 占位符
+    text = st.text_area(label="用户输入", height=100, placeholder="请在这儿输入您的问题")
+
+    if st.button("发送", key="predict"):
+        with st.spinner("AI正在思考，请稍等........"):
+            history = st.session_state.get('state')
+            st.session_state["state"] = reply(text, history, container=container)
+            print(st.session_state['state'])

pages/弹窗.py

@@ -0,0 +1,45 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Project      : AI.  @by PyCharm
+# @File         : 弹窗
+# @Time         : 2023/4/2 12:35
+# @Author       : betterme
+# @WeChat       : meutils
+# @Software     : PyCharm
+# @Description  : 
+
+from meutils.pipe import *
+import streamlit as st
+from streamlit_modal import Modal
+
+import streamlit.components.v1 as components
+
+modal = Modal("Demo Modal", key='k')
+open_modal = st.button("Open")
+if open_modal:
+    modal.open()
+
+if modal.is_open():
+    with modal.container():
+        st.write("Text goes here")
+
+        html_string = '''
+        <h1>HTML string in RED</h1>
+
+        <script language="javascript">
+          document.querySelector("h1").style.color = "red";
+        </script>
+        '''
+        components.html(html_string)
+
+        st.write("Some fancy text")
+        value = st.checkbox("Check me")
+        st.write(f"Checkbox checked: {value}")
+
+#
+# from transformers import AutoModelForQuestionAnswering,AutoTokenizer,pipeline
+# model = AutoModelForQuestionAnswering.from_pretrained('uer/roberta-base-chinese-extractive-qa')
+# tokenizer = AutoTokenizer.from_pretrained('uer/roberta-base-chinese-extractive-qa')
+# QA = pipeline('question-answering', model=model, tokenizer=tokenizer)
+# QA_input = {'question': "著名诗歌《假如生活欺骗了你》的作者是",'context': "普希金从那里学习人民的语言，吸取了许多有益的养料，这一切对普希金后来的创作产生了很大的影响。这两年里，普希金创作了不少优秀的作品，如《囚徒》、《致大海》、《致凯恩》和《假如生活欺骗了你》等几十首抒情诗，叙事诗《努林伯爵》，历史剧《鲍里斯·戈都诺夫》，以及《叶甫盖尼·奥涅金》前六章。"}
+# QA(QA_input)

requirements.txt

@@ -0,0 +1,21 @@
+meutils
+appzoo
+pyecharts
+m2cgen
+psutil
+lac
+
+# streamlit
+streamlit=
+streamlit_autorefresh
+streamlit_chat
+streamlit_text_rating
+streamlit_echarts
+streamlit-aggrid
+streamlit-agraph
+st-annotated-text
+streamlit-tree-select
+streamlit_pandas_profiling
+streamlit_authenticator
+streamlit_option_menu
+streamlit_ace

run.sh

@@ -0,0 +1,10 @@
+#!/usr/bin/env bash
+# @Project      : nesc
+# @Time         : 2022/9/21 下午5:20
+# @Author       : yuanjie
+# @Email        : [email protected]
+# @Software     : PyCharm
+# @Description  : ${DESCRIPTION}
+
+streamlit run _👋_.py --server.port 9955
+