Update pages/1_Introduction.py

pages/1_Introduction.py

@@ -2,18 +2,13 @@ import streamlit as st
 from PIL import Image
 import io
 
-# Path to the image generated by DALL-E
-image_path = r"https://huggingface.co/spaces/Phani1008/Machine_Learning/resolve/main/images/DALL%C2%B7E%202024-12-27%2018.19.15%20-%20A%20warm%20and%20cozy%20scene%20of%20a%20father%20sitting%20with%20his%203-year-old%20child%20in%20a%20living%20room%2C%20showing%20pictures%20of%20dogs%20and%20cats.%20The%20father%20is%20pointing%20at%20a%20p.jpg"
 
-# Open the image
-
-
-image = Image.open(r"https://huggingface.co/spaces/Phani1008/Machine_Learning/resolve/main/images/DALL%C2%B7E%202024-12-27%2018.19.15%20-%20A%20warm%20and%20cozy%20scene%20of%20a%20father%20sitting%20with%20his%203-year-old%20child%20in%20a%20living%20room%2C%20showing%20pictures%20of%20dogs%20and%20cats.%20The%20father%20is%20pointing%20at%20a%20p.jpg")
-
-st.image(image, caption='A father teaching his child by showing dog and cat pictures')
 # Title and introduction
 st.title('Understanding Machine Learning: Teaching Machines Like Children')
 
+st.image("https://huggingface.co/spaces/Phani1008/Machine_Learning/resolve/main/images/DALL%C2%B7E%202024-12-27%2018.19.15%20-%20A%20warm%20and%20cozy%20scene%20of%20a%20father%20sitting%20with%20his%203-year-old%20child%20in%20a%20living%20room%2C%20showing%20pictures%20of%20dogs%20and%20cats.%20The%20father%20is%20pointing%20at%20a%20p.jpg",width = 600)
+
+
 st.write("""
 Machine Learning (ML) is like teaching a child to recognize things by showing examples. Imagine a father showing pictures of dogs and cats to his child, saying 'This is a dog' or 'This is a cat'. The child learns by associating the image with the label. Similarly, machines learn from data through two main types of learning: **Supervised** and **Unsupervised Learning**.