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‎1_📈_Main.py

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import pickle
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from pathlib import Path
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import pandas as pd # pip install pandas openpyxl
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import plotly.express as px # pip install plotly-express
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import streamlit as st # pip install streamlit
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import streamlit_authenticator as stauth # pip install streamlit-authenticator
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# emojis: https://www.webfx.com/tools/emoji-cheat-sheet/
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st.set_page_config(page_title="streamlit Dashboard", page_icon=":bar_chart:", layout="wide")
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hide_bar= """
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<style>
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[data-testid="stSidebar"][aria-expanded="true"] > div:first-child {
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visibility:hidden;
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width: 0px;
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}
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[data-testid="stSidebar"][aria-expanded="false"] > div:first-child {
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visibility:hidden;
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}
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</style>
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"""
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# --- USER AUTHENTICATION ---
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names = ["Peter Parker", "Rebecca Miller","bharath"]
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usernames = ["pparker", "rmiller","bharath"]
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# load hashed passwords
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file_path = Path(__file__).parent / "hashed_pw.pkl"
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with file_path.open("rb") as file:
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hashed_passwords = pickle.load(file)
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authenticator = stauth.Authenticate(names, usernames, hashed_passwords,
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"SIPL_dashboard", "abcdef")
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name, authentication_status, username = authenticator.login("Login", "main")
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if authentication_status == False:
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st.error("Username/password is incorrect")
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st.markdown(hide_bar, unsafe_allow_html=True)
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if authentication_status == None:
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st.warning("Please enter your username and password")
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st.markdown(hide_bar, unsafe_allow_html=True)
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if authentication_status:
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# # ---- SIDEBAR ----
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st.sidebar.title(f"Welcome {name}")
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# st.sidebar.header("select page here :")
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st.write("# Welcome to Streamlit!..")
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###about ....
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st.subheader("Introduction :")
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st.text("1. \n2. \n3. \n4. \n5. \n")
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st.sidebar.success("Select a page above.")
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###---- HIDE STREAMLIT STYLE ----
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hide_st_style = """
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<style>
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#MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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header {visibility: hidden;}
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</style>
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"""
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st.markdown(hide_st_style, unsafe_allow_html=True)
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authenticator.logout("Logout", "sidebar")

‎README.md

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# streamlit-multipage-authentication

‎generate_keys.py

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### Generate keys
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import pickle
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from pathlib import Path
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import streamlit_authenticator as stauth
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names = ["Peter Parker", "Rebecca Miller","bharath"]
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usernames = ["pparker", "rmiller","bharath"]
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passwords = ["XXX", "XXX","1234"]
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hashed_passwords = stauth.Hasher(passwords).generate()
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file_path = Path(__file__).parent / "hashed_pw.pkl"
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with file_path.open("wb") as file:
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pickle.dump(hashed_passwords, file)

‎hashed_pw.pkl

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‎pages/1_💽_yolo.py

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import os
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import time
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import requests
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import pandas as pd
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import numpy as np
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import streamlit as st
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import folium
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from streamlit_folium import st_folium
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import aspose.slides as slides
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st.set_page_config(page_title="streamlit-folium documentation",page_icon="📈")
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# st.header("YOLO")
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"# 📈 YOLO v3~vX"

‎pages/2_📊_analysis.py

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import pickle
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from pathlib import Path
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import pandas as pd # pip install pandas openpyxl
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import plotly.express as px # pip install plotly-express
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import streamlit as st # pip install streamlit
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# emojis: https://www.webfx.com/tools/emoji-cheat-sheet/
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st.set_page_config(page_title="Sales Dashboard", page_icon=":bar_chart:", layout="wide")
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def get_data_from_excel():
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df = pd.read_excel(
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io="pages/supermarkt_sales.xlsx",
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engine="openpyxl",
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sheet_name="Sales",
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skiprows=3,
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usecols="B:R",
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nrows=1000,
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)
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# Add 'hour' column to dataframe
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df["hour"] = pd.to_datetime(df["Time"], format="%H:%M:%S").dt.hour
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return df
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df = get_data_from_excel()
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# ---- SIDEBAR ----
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# authenticator.logout("Logout", "sidebar")
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name='bharath'
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st.sidebar.title(f"Welcome {name}")
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st.sidebar.header("Please Filter Here:")
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city = st.sidebar.multiselect(
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"Select the City:",
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options=df["City"].unique(),
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default=df["City"].unique()
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)
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customer_type = st.sidebar.multiselect(
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"Select the Customer Type:",
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options=df["Customer_type"].unique(),
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default=df["Customer_type"].unique(),
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)
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gender = st.sidebar.multiselect(
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"Select the Gender:",
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options=df["Gender"].unique(),
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default=df["Gender"].unique()
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)
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df_selection = df.query(
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"City == @city & Customer_type ==@customer_type & Gender == @gender"
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)
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# ---- MAINPAGE ----
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st.title(":bar_chart: Sales Dashboard")
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st.markdown("##")
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# TOP KPI's
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total_sales = int(df_selection["Total"].sum())
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average_rating = round(df_selection["Rating"].mean(), 1)
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star_rating = ":star:" * int(round(average_rating, 0))
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average_sale_by_transaction = round(df_selection["Total"].mean(), 2)
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left_column, middle_column, right_column = st.columns(3)
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with left_column:
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st.subheader("Total Sales:")
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st.subheader(f"US $ {total_sales:,}")
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with middle_column:
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st.subheader("Average Rating:")
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st.subheader(f"{average_rating} {star_rating}")
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with right_column:
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st.subheader("Average Sales Per Transaction:")
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st.subheader(f"US $ {average_sale_by_transaction}")
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st.markdown("""---""")
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# SALES BY PRODUCT LINE [BAR CHART]
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sales_by_product_line = (
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df_selection.groupby(by=["Product line"]).sum()[["Total"]].sort_values(by="Total")
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)
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fig_product_sales = px.bar(
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sales_by_product_line,
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x="Total",
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y=sales_by_product_line.index,
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orientation="h",
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title="<b>Sales by Product Line</b>",
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color_discrete_sequence=["#0083B8"] * len(sales_by_product_line),
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template="plotly_white",
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)
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fig_product_sales.update_layout(
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plot_bgcolor="rgba(0,0,0,0)",
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xaxis=(dict(showgrid=False))
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)
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# SALES BY HOUR [BAR CHART]
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sales_by_hour = df_selection.groupby(by=["hour"]).sum()[["Total"]]
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fig_hourly_sales = px.bar(
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sales_by_hour,
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x=sales_by_hour.index,
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y="Total",
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title="<b>Sales by hour</b>",
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color_discrete_sequence=["#0083B8"] * len(sales_by_hour),
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template="plotly_white",
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)
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fig_hourly_sales.update_layout(
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xaxis=dict(tickmode="linear"),
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plot_bgcolor="rgba(0,0,0,0)",
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yaxis=(dict(showgrid=False)),
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)
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left_column, right_column = st.columns(2)
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left_column.plotly_chart(fig_hourly_sales, use_container_width=True)
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right_column.plotly_chart(fig_product_sales, use_container_width=True)
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# ---- HIDE STREAMLIT STYLE ----
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hide_st_style = """
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<style>
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#MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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header {visibility: hidden;}
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</style>
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"""
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st.markdown(hide_st_style, unsafe_allow_html=True)

‎pages/3_📊_mrcnn.py

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import os
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import time
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import requests
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import pandas as pd
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import numpy as np
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import streamlit as st
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import folium
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from streamlit_folium import st_folium
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import aspose.slides as slides
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st.set_page_config(page_title="streamlit-folium documentation",page_icon="📈")
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# st.header("MRCNN")
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"# 📈 MRCNN"
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‎pages/4_🖥️_jetson.py

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import os
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import time
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import requests
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import pandas as pd
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import numpy as np
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import streamlit as st
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import folium
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from streamlit_folium import st_folium
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import aspose.slides as slides
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st.set_page_config(page_title="streamlit-folium documentation",page_icon="📈")
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# st.header("Nvidia Jetson")
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"# 📈 NVIDIA Jetson"

‎pages/5_🚌 _OpenVINO.py

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import os
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import time
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import requests
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import pandas as pd
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import numpy as np
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import streamlit as st
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import folium
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from streamlit_folium import st_folium
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import aspose.slides as slides
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st.set_page_config(page_title="streamlit-folium documentation",page_icon="📈")
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# st.header("Open VINO")
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"# 📈 Open VINO"

‎pages/6_🚘_Self_driving_car.py

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import os
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import time
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import requests
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import pandas as pd
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import numpy as np
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import streamlit as st
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import folium
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from streamlit_folium import st_folium
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import aspose.slides as slides
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st.set_page_config(page_title="streamlit-folium documentation",page_icon="📈")
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# st.header("Self Driving Car")
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"# 📈 Self Driving Car"

‎pages/7_🤖_probots.py

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import os
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import time
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import requests
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import pandas as pd
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import numpy as np
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import streamlit as st
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import folium
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from streamlit_folium import st_folium
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import aspose.slides as slides
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st.set_page_config(page_title="streamlit-folium documentation",page_icon="📈")
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# st.header("Probots")
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"# 📈 Probots"

‎pages/supermarkt_sales.xlsx

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‎requirements.txt

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streamlit==1.11.0
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streamlit-authenticator==0.1.5
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streamlit-folium==0.6.14

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