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import streamlit as st
from streamlit_lottie import st_lottie
import requests

# Function to load Lottie animation from a URL
def load_lottie_url(url: str):
    try:
        r = requests.get(url)
        if r.status_code == 200:
            return r.json()
    except requests.exceptions.RequestException:
        return None

# Function to display the content of each page
def show_content(topic):
    if topic == "Introduction to Data Science":
        subtopic = st.sidebar.radio("Explore More", [
            "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?"
        ])
        if subtopic == "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!
            """)
            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 subtopic == "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 subtopic == "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 subtopic == "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 subtopic == "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 subtopic == "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 subtopic == "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 subtopic == "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.
            """)


# 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 with the first topic as the default
# if "page" not in st.session_state:
#     st.session_state.page = topics[0]

# # Update session state automatically when sidebar selection changes
# st.session_state.page = selection

# # Display the selected content
# show_content(st.session_state.page)