yash-gupta-01 commited on
Commit
237684f
·
1 Parent(s): d29f365

introduction page added

Browse files
Files changed (1) hide show
  1. pages/01_introduction.py +0 -155
pages/01_introduction.py CHANGED
@@ -1,158 +1,3 @@
1
- # import streamlit as st
2
- # from streamlit_lottie import st_lottie
3
- # import requests
4
-
5
- # # Function to load Lottie animations
6
- # def load_lottie_url(url: str):
7
- # r = requests.get(url)
8
- # if r.status_code == 200:
9
- # return r.json()
10
- # else:
11
- # return None
12
-
13
- # # Function to display the content of each page
14
- # def show_content(topic):
15
- # if topic == "Introduction":
16
- # st.title("Understanding Data Science and Artificial Intelligence 🌟")
17
- # st.subheader("Overview of AI and Data Science")
18
- # st.write("""
19
- # Artificial Intelligence (AI) and Data Science have become buzzwords in today's tech-driven world.
20
- # But what do they really mean, and why are they so significant? Let’s explore these fascinating concepts step by step!
21
- # """)
22
-
23
- # # Load the Lottie animation
24
- # lottie_url = "https://assets4.lottiefiles.com/packages/lf20_tcbkqj.json"
25
- # animation_data = load_lottie_url(lottie_url)
26
- # if animation_data:
27
- # st_lottie(animation_data, speed=1, width=600, height=400)
28
- # else:
29
- # st.write("Unable to load animation.")
30
-
31
- # elif topic == "Understanding Intelligence":
32
- # st.title("Understanding Intelligence")
33
- # st.subheader("What is Natural Intelligence? 🐾")
34
- # st.write("""
35
- # **Definition**: NI refers to the intelligence naturally present in living beings.
36
- # **Examples**:
37
- # - A dog learning a trick. 🐕
38
- # - Humans solving puzzles or making everyday decisions. 🧠
39
- # """)
40
- # st.subheader("What is Artificial Intelligence? 🤖")
41
- # st.write("""
42
- # **Definition**: Artificial intelligence (AI) is man-made intelligence where machines mimic human intelligence to perform tasks.
43
- # **Real-Life Examples**:
44
- # - Netflix recommending shows you’d love. 🎬
45
- # - Google Maps finding the fastest route. 🗺️
46
- # - Alexa answering your questions. 🎙️
47
- # """)
48
-
49
- # elif topic == "AI Tools: ML, DL, and Gen-AI":
50
- # st.title("AI Tools: ML, DL, and Gen-AI")
51
- # st.subheader("Machine Learning (ML) 🖥️")
52
- # st.write("""
53
- # - **What It Does**: ML enables machines to learn from patterns in data and make decisions.
54
- # - **How It Works**: Similar to teaching a toddler to recognize fruits, ML algorithms process large datasets to "learn" and predict outcomes.
55
- # - **Real-Life Applications**: Spam email detection 📧, Predicting stock prices 📈.
56
- # """)
57
- # st.subheader("Deep Learning (DL) 🤿")
58
- # st.write("""
59
- # - **What It Does**: DL uses neural networks to process and analyze complex data.
60
- # - **How It Works**: DL processes data in layers, enabling machines to perform sophisticated tasks like facial recognition and medical imaging.
61
- # - **Real-Life Applications**: Self-driving cars 🚗, Virtual assistants like Siri and Alexa. 🎙️
62
- # """)
63
- # st.subheader("Generative AI (Gen-AI) 🎨")
64
- # st.write("""
65
- # - **What It Does**: Gen-AI enables machines to generate new content like text, images, and music.
66
- # - **How It Works**: By learning patterns from data, Gen-AI creates outputs that feel original and human-like.
67
- # - **Real-Life Applications**: ChatGPT (text generation), DALL·E (image creation).
68
- # """)
69
-
70
- # elif topic == "Real-Life Analogies and Examples":
71
- # st.title("Real-Life Analogies and Examples")
72
- # st.subheader("Analogy: Tools Are Like Pens and Pencils")
73
- # st.write("""
74
- # - ML: Learns patterns (like sketching with a pencil).
75
- # - DL: Adds depth and detail (like using a pen).
76
- # - Gen-AI: Creates entirely new outputs (like turning sketches into colorful artwork).
77
- # """)
78
- # st.subheader("Learning vs. Generating: The Art Example 👩‍🎨")
79
- # st.write("""
80
- # Think of a child learning to draw:
81
- # - First, they learn the basics of drawing.
82
- # - Then they generate their own unique artwork.
83
-
84
- # AI follows the same process:
85
- # - Learning: ML and DL handle this part.
86
- # - Generating: Gen-AI takes over to create new outputs.
87
- # """)
88
-
89
- # elif topic == "What is Data Science?":
90
- # st.title("What is Data Science? 📊")
91
- # st.write("""
92
- # 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.
93
- # **Key Components of Data Science**:
94
- # - **Data Collection**: Gathering information from various sources.
95
- # - **Data Analysis**: Using tools to find patterns and trends.
96
- # - **Data Visualization**: Presenting findings through charts and graphs.
97
- # """)
98
-
99
- # elif topic == "The Role of a Data Scientist":
100
- # st.title("The Role of a Data Scientist")
101
- # st.write("""
102
- # A Data Scientist plays a crucial role in:
103
- # - Building predictive models.
104
- # - Analyzing customer behavior.
105
- # - Designing solutions for business challenges.
106
-
107
- # **Tools Used**: Python, R, SQL, Tableau, etc.
108
- # """)
109
-
110
- # elif topic == "Why AI and Data Science Matter":
111
- # st.title("Why AI and Data Science Matter")
112
- # st.write("""
113
- # AI and Data Science are transforming industries by:
114
- # - Automating tasks.
115
- # - Enhancing decision-making.
116
- # - Unlocking creative possibilities.
117
-
118
- # **Fun Fact**: By 2030, AI is expected to add $15.7 trillion to the global economy. 🚀
119
- # """)
120
-
121
- # elif topic == "Did You Know?":
122
- # st.title("Did You Know?")
123
- # st.write("""
124
- # **AI is already being used to**:
125
- # - Detect diseases in medical imaging.
126
- # - Automate farming for higher crop yields.
127
- # - Generate movie scripts and music albums.
128
- # """)
129
-
130
- # # Set up sidebar navigation
131
- # topics = [
132
- # "Introduction",
133
- # "Understanding Intelligence",
134
- # "AI Tools: ML, DL, and Gen-AI",
135
- # "Real-Life Analogies and Examples",
136
- # "What is Data Science?",
137
- # "The Role of a Data Scientist",
138
- # "Why AI and Data Science Matter",
139
- # "Did You Know?"
140
- # ]
141
-
142
- # st.sidebar.title("Topics")
143
- # selection = st.sidebar.radio("Go to", topics)
144
-
145
- # # Initialize session state if not already done
146
- # if "page" not in st.session_state:
147
- # st.session_state.page = selection
148
-
149
- # # Update session state if sidebar selection is changed
150
- # if st.sidebar.button("Navigate"):
151
- # st.session_state.page = selection
152
-
153
- # # Display the selected content
154
- # show_content(st.session_state.page)
155
-
156
  import streamlit as st
157
  from streamlit_lottie import st_lottie
158
  import requests
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  import streamlit as st
2
  from streamlit_lottie import st_lottie
3
  import requests