introduction page added

pages/01_introduction.py

@@ -1,158 +1,3 @@
-# import streamlit as st
-# from streamlit_lottie import st_lottie
-# import requests
-
-# # Function to load Lottie animations
-# def load_lottie_url(url: str):
-#     r = requests.get(url)
-#     if r.status_code == 200:
-#         return r.json()
-#     else:
-#         return None
-
-# # Function to display the content of each page
-# def show_content(topic):
-#     if topic == "Introduction":
-#         st.title("Understanding Data Science and Artificial Intelligence 🌟")
-#         st.subheader("Overview of AI and Data Science")
-#         st.write("""
-#         Artificial Intelligence (AI) and Data Science have become buzzwords in today's tech-driven world.
-#         But what do they really mean, and why are they so significant? Let’s explore these fascinating concepts step by step!
-#         """)
-        
-#         # Load the Lottie animation
-#         lottie_url = "https://assets4.lottiefiles.com/packages/lf20_tcbkqj.json"
-#         animation_data = load_lottie_url(lottie_url)
-#         if animation_data:
-#             st_lottie(animation_data, speed=1, width=600, height=400)
-#         else:
-#             st.write("Unable to load animation.")
-        
-#     elif topic == "Understanding Intelligence":
-#         st.title("Understanding Intelligence")
-#         st.subheader("What is Natural Intelligence? 🐾")
-#         st.write("""
-#         **Definition**: NI refers to the intelligence naturally present in living beings.
-#         **Examples**:
-#         - A dog learning a trick. 🐕
-#         - Humans solving puzzles or making everyday decisions. 🧠
-#         """)
-#         st.subheader("What is Artificial Intelligence? 🤖")
-#         st.write("""
-#         **Definition**: Artificial intelligence (AI) is man-made intelligence where machines mimic human intelligence to perform tasks.
-#         **Real-Life Examples**:
-#         - Netflix recommending shows you’d love. 🎬
-#         - Google Maps finding the fastest route. 🗺️
-#         - Alexa answering your questions. 🎙️
-#         """)
-
-#     elif topic == "AI Tools: ML, DL, and Gen-AI":
-#         st.title("AI Tools: ML, DL, and Gen-AI")
-#         st.subheader("Machine Learning (ML) 🖥️")
-#         st.write("""
-#         - **What It Does**: ML enables machines to learn from patterns in data and make decisions.
-#         - **How It Works**: Similar to teaching a toddler to recognize fruits, ML algorithms process large datasets to "learn" and predict outcomes.
-#         - **Real-Life Applications**: Spam email detection 📧, Predicting stock prices 📈.
-#         """)
-#         st.subheader("Deep Learning (DL) 🤿")
-#         st.write("""
-#         - **What It Does**: DL uses neural networks to process and analyze complex data.
-#         - **How It Works**: DL processes data in layers, enabling machines to perform sophisticated tasks like facial recognition and medical imaging.
-#         - **Real-Life Applications**: Self-driving cars 🚗, Virtual assistants like Siri and Alexa. 🎙️
-#         """)
-#         st.subheader("Generative AI (Gen-AI) 🎨")
-#         st.write("""
-#         - **What It Does**: Gen-AI enables machines to generate new content like text, images, and music.
-#         - **How It Works**: By learning patterns from data, Gen-AI creates outputs that feel original and human-like.
-#         - **Real-Life Applications**: ChatGPT (text generation), DALL·E (image creation).
-#         """)
-
-#     elif topic == "Real-Life Analogies and Examples":
-#         st.title("Real-Life Analogies and Examples")
-#         st.subheader("Analogy: Tools Are Like Pens and Pencils")
-#         st.write("""
-#         - ML: Learns patterns (like sketching with a pencil).
-#         - DL: Adds depth and detail (like using a pen).
-#         - Gen-AI: Creates entirely new outputs (like turning sketches into colorful artwork).
-#         """)
-#         st.subheader("Learning vs. Generating: The Art Example 👩‍🎨")
-#         st.write("""
-#         Think of a child learning to draw:
-#         - First, they learn the basics of drawing.
-#         - Then they generate their own unique artwork.
-        
-#         AI follows the same process:
-#         - Learning: ML and DL handle this part.
-#         - Generating: Gen-AI takes over to create new outputs.
-#         """)
-
-#     elif topic == "What is Data Science?":
-#         st.title("What is Data Science? 📊")
-#         st.write("""
-#         Data Science is the art of extracting meaningful insights from raw data. It combines AI with statistics, computer science, and domain expertise to solve real-world problems.
-#         **Key Components of Data Science**:
-#         - **Data Collection**: Gathering information from various sources.
-#         - **Data Analysis**: Using tools to find patterns and trends.
-#         - **Data Visualization**: Presenting findings through charts and graphs.
-#         """)
-
-#     elif topic == "The Role of a Data Scientist":
-#         st.title("The Role of a Data Scientist")
-#         st.write("""
-#         A Data Scientist plays a crucial role in:
-#         - Building predictive models.
-#         - Analyzing customer behavior.
-#         - Designing solutions for business challenges.
-        
-#         **Tools Used**: Python, R, SQL, Tableau, etc.
-#         """)
-
-#     elif topic == "Why AI and Data Science Matter":
-#         st.title("Why AI and Data Science Matter")
-#         st.write("""
-#         AI and Data Science are transforming industries by:
-#         - Automating tasks.
-#         - Enhancing decision-making.
-#         - Unlocking creative possibilities.
-
-#         **Fun Fact**: By 2030, AI is expected to add $15.7 trillion to the global economy. 🚀
-#         """)
-
-#     elif topic == "Did You Know?":
-#         st.title("Did You Know?")
-#         st.write("""
-#         **AI is already being used to**:
-#         - Detect diseases in medical imaging.
-#         - Automate farming for higher crop yields.
-#         - Generate movie scripts and music albums.
-#         """)
-
-# # Set up sidebar navigation
-# topics = [
-#     "Introduction",
-#     "Understanding Intelligence",
-#     "AI Tools: ML, DL, and Gen-AI",
-#     "Real-Life Analogies and Examples",
-#     "What is Data Science?",
-#     "The Role of a Data Scientist",
-#     "Why AI and Data Science Matter",
-#     "Did You Know?"
-# ]
-
-# st.sidebar.title("Topics")
-# selection = st.sidebar.radio("Go to", topics)
-
-# # Initialize session state if not already done
-# if "page" not in st.session_state:
-#     st.session_state.page = selection
-
-# # Update session state if sidebar selection is changed
-# if st.sidebar.button("Navigate"):
-#     st.session_state.page = selection
-
-# # Display the selected content
-# show_content(st.session_state.page)
-
 import streamlit as st
 from streamlit_lottie import st_lottie
 import requests