Spaces:
Sleeping
Sleeping
Milind Kamat
commited on
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2b772c8
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Parent(s):
95cb33c
2024 Dec 30 :Initial commit
Browse filesSigned-off-by: Milind Kamat <36366961+milindkamat0507@users.noreply.github.com>
- app.py +144 -0
- requirements.txt +10 -0
app.py
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import streamlit as st
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import pandas as pd
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import numpy as np
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from datetime import datetime
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# Page Configuration
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st.set_page_config(
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page_title="MBA Streamlit Tutorial",
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page_icon="🎓",
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layout="wide"
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)
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# Main Title
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st.title("Welcome to Streamlit Development Journey 🚀")
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st.markdown("*An interactive guide for MBA students*")
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# Sidebar
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with st.sidebar:
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st.header("Navigation Panel")
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page = st.radio(
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"Choose your learning path:",
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["Basic Elements", "Data Display", "Interactive Widgets", "Charts", "Chat Interface"]
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)
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# User Info Collection
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st.sidebar.markdown("---")
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student_name = st.text_input("Enter your name:")
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experience = st.select_slider(
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"Your coding experience:",
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options=["Beginner", "Intermediate", "Advanced"]
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)
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# Main Content Based on Selection
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if page == "Basic Elements":
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st.header("Basic Streamlit Elements")
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tab1, tab2, tab3 = st.tabs(["Text Elements", "Input Elements", "Layout Elements"])
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with tab1:
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st.subheader("Text Display Options")
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st.write("Regular text using st.write()")
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st.markdown("**Bold text** and *italic text* using markdown")
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st.code("""
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st.write("Regular text")
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st.markdown("**Bold text**")
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""")
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with tab2:
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st.subheader("Input Elements Demo")
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user_input = st.text_input("Try typing something:")
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st.write("You typed:", user_input)
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number = st.number_input("Enter a number:", min_value=0, max_value=100)
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st.write("Selected number:", number)
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with tab3:
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st.subheader("Layout Elements")
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col1, col2 = st.columns(2)
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with col1:
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st.write("This is column 1")
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with col2:
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st.write("This is column 2")
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elif page == "Data Display":
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st.header("Working with Data")
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# Sample DataFrame
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df = pd.DataFrame({
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'Date': pd.date_range('2024-01-01', periods=5),
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'Sales': np.random.randn(5) * 100 + 500,
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'Customers': np.random.randint(50, 100, 5)
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})
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st.dataframe(df)
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st.code("""
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# Create and display a DataFrame
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df = pd.DataFrame({
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'Date': pd.date_range('2024-01-01', periods=5),
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'Sales': np.random.randn(5) * 100 + 500,
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'Customers': np.random.randint(50, 100, 5)
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})
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st.dataframe(df)
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""")
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elif page == "Interactive Widgets":
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st.header("Interactive Elements")
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option = st.selectbox(
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'Select your favorite color',
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['Red', 'Blue', 'Green', 'Yellow']
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)
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if st.button('Show Selected Color'):
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st.write(f'Your selected color is {option}')
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st.slider('Select a range', 0, 100, (25, 75))
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elif page == "Charts":
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st.header("Data Visualization")
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# Generate sample data
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chart_data = pd.DataFrame(
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np.random.randn(20, 3),
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columns=['Line A', 'Line B', 'Line C']
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)
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st.line_chart(chart_data)
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st.code("""
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# Create a line chart
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chart_data = pd.DataFrame(
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np.random.randn(20, 3),
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columns=['Line A', 'Line B', 'Line C']
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)
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st.line_chart(chart_data)
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""")
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elif page == "Chat Interface":
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st.header("Simple Chatbot Interface")
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if 'messages' not in st.session_state:
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st.session_state.messages = []
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# Display chat messages
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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# Chat input
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if prompt := st.chat_input("What would you like to know about Streamlit?"):
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": prompt})
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# Simple response logic
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response = f"Thank you for your question about '{prompt}'. This is a demo chatbot interface in Streamlit!"
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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# Rerun to display new messages
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st.rerun()
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| 141 |
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# Footer
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| 143 |
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st.markdown("---")
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| 144 |
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st.markdown("Created for MBA Students - Learning Streamlit Development")
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requirements.txt
ADDED
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@@ -0,0 +1,10 @@
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# requirements.txt
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streamlit>=1.31.0
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pandas>=2.1.0
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numpy>=1.24.0
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plotly>=5.18.0
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datetime
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pillow>=10.0.0
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matplotlib>=3.7.0
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scikit-learn>=1.3.0
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