update

data/airline-safety.csv

@@ -0,0 +1 @@
+airline,avail_seat_km_per_week,incidents_85_99,fatal_accidents_85_99,fatalities_85_99,incidents_00_14,fatal_accidents_00_14,fatalities_00_14

pages/2_📚_PDF预览.py

@@ -11,14 +11,36 @@ class MyPage(Page):
 
     def main(self):
         with st.form("PDF"):
-            file = st.file_uploader("选择待上传的PDF文件", type=['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')
-                    pdf_display = f"""<embed src="data:application/pdf;base64,{base64_pdf}" width="100%" height="800" type="application/pdf">"""
-                    st.markdown(pdf_display, unsafe_allow_html=True)
 
+                    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"

pages/3_🏙_模型生成代码.py

@@ -1,56 +0,0 @@
-from meutils.pipe import *
-from appzoo.streamlit_app import Page
-
-import m2cgen as m2c
-import streamlit as st
-
-
-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_basi'
-            ]
-
-            _ = 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}",
-        sidebar_title=None,
-    ).main()

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/66_🔥_Torch.py

@@ -1,31 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-# @Project      : Python.
-# @File         : 4_🔥_Torch
-# @Time         : 2022/9/23 上午11:40
-# @Author       : yuanjie
-# @WeChat       : meutils
-# @Software     : PyCharm
-# @Description  : 
-
-
-import streamlit as st
-from transformers import pipeline
-from PIL import Image
-
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
-
-st.title("Hot Dog? Or Not?")
-
-file_name = st.file_uploader("Upload a hot dog candidate image")
-
-if file_name is not None:
-    col1, col2 = st.columns(2)
-
-    image = Image.open(file_name)
-    col1.image(image, use_column_width=True)
-    predictions = pipeline(image)
-
-    col2.header("Probabilities")
-    for p in predictions:
-        col2.subheader(f"{p['label']}: {round(p['score'] * 100, 1)}%")

pages/888_🌰_demo.py

@@ -0,0 +1,26 @@
+from urllib.parse import urlencode, parse_qs
+import streamlit as st
+
+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,
+    )

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 +1,118 @@
+#!/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/992_streamlit_chat.py

@@ -0,0 +1,24 @@
+#!/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 = ["展示信息"]
+
+for message_ in message_history:
+    message(message_)  # display all the previous message
+
+placeholder = st.empty()  # placeholder for latest message
+input_ = st.text_input("you:")
+message_history.append(input_)
+
+with placeholder.container():
+    message(message_history[-1], )  # 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 +1,70 @@
+#!/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
+
+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)

requirements.txt

@@ -1,4 +1,11 @@
 meutils
 appzoo
+pyecharts
+m2cgen
 
-m2cgen
+# streamlit
+streamlit_autorefresh
+streamlit_apex_charts
+streamlit_chat
+streamlit_text_rating
+streamlit_echarts

run.sh

@@ -6,5 +6,9 @@
 # @Software     : PyCharm
 # @Description  : ${DESCRIPTION}
 
-streamlit run AppZoo.py
+streamlit run _👋_.py
 
+#from streamlit import bootstrap
+#
+#st._is_running_with_streamlit = True
+#bootstrap.run(__file__, 'streamlit run', [], {})

x.html

@@ -0,0 +1,9 @@
+<marquee direction="down" width="250" height="200" behavior="alternate" style="border:solid"  bgcolor="#00FF00">
+
+  <marquee behavior="alternate">
+
+    会飞的文字
+
+  </marquee>
+
+</marquee>