Update Home.py

Home.py

@@ -1,114 +1,114 @@
-import streamlit as st
-import pandas as pd
-import os
-import base64
-from pathlib import Path
-import streamlit as st
-import os
-from PIL import Image
-
-
-# path = os.path.dirname(__file__)
-# file_ = open(f"{path}/logo.png", "rb")
-# contents = file_.read()
-# data_url = base64.b64encode(contents).decode("utf-8")
-# file_.close()
-
-# def load_local_css(file_name):
-#     with open(file_name) as f:
-#         st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
-
-# def set_header():
-#     return st.markdown(
-#         f"""<div class='main-header'>
-#                     <h1>Synthetic Control</h1>
-#                     <img src="data:image;base64,{data_url}", alt="Logo">
-#             </div>""",
-#         unsafe_allow_html=True,
-#     )
-
-
-st.set_page_config()
-# load_local_css("styles.css")
-# set_header()
-
-st.title("The Art of Words: Vachana's Collection")
-
-
-def load_images_from_folder(folder_path):
-    """
-    Load all images from the specified folder and store them in a dictionary.
-    
-    Args:
-        folder_path (str): Path to the folder containing images.
-        
-    Returns:
-        dict: A dictionary with image filenames as keys and PIL Image objects as values.
-    """
-    images_dict = {}
-    try:
-        for filename in os.listdir(folder_path):
-            if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
-                img_path = os.path.join(folder_path, filename)
-                images_dict[filename] = Image.open(img_path)
-    except Exception as e:
-        st.error(f"Error loading images: {e}")
-    return images_dict
-
-
-# Folder selection
-with st.expander("Click to Discover the Masterpiece"):
-    folder_path = 'Photos'
-    def load_images_from_folder(folder_path, target_size=(200, 200)):
-        """
-        Load all images from the specified folder, resize them to a uniform size, and store them in a dictionary.
-        
-        Args:
-            folder_path (str): Path to the folder containing images.
-            target_size (tuple): Desired size for all images (width, height).
-            
-        Returns:
-            dict: A dictionary with image filenames as keys and resized PIL Image objects as values.
-        """
-        images_dict = {}
-        try:
-            for filename in os.listdir(folder_path):
-                if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
-                    img_path = os.path.join(folder_path, filename)
-                    img = Image.open(img_path).convert("RGB")  # Convert to RGB for consistency
-                    img = img.resize(target_size)  # Resize image
-                    images_dict[filename] = img
-        except Exception as e:
-            st.error(f"Error loading images: {e}")
-        return images_dict
-
-    # Streamlit UI
-    if folder_path:
-        if not os.path.exists(folder_path):
-            st.error("The specified folder path does not exist. Please enter a valid path.")
-        else:
-            # Load images
-            images = load_images_from_folder(folder_path, target_size=(300, 400))  # Set desired size
-            
-            if images:
-                
-                # Display images side by side with a row break
-                cols_per_row = 3  # Adjust the number of images displayed per row
-                images_list = list(images.items())
-                
-                for i in range(0, len(images_list), cols_per_row):
-                    cols = st.columns(cols_per_row)
-                    for col, (img_name, img) in zip(cols, images_list[i:i + cols_per_row]):
-                        with col:
-                            
-                            st.image(img, use_column_width=True)
-                    
-                    # Add a break after each row
-                    st.divider()  # Simple divider
-            else:
-                st.warning("No images found in the specified folder.")
-    else:
-        st.info("Please enter a folder path to load and display images.")
-
-
-
+import streamlit as st
+import pandas as pd
+import os
+import base64
+from pathlib import Path
+import streamlit as st
+import os
+from PIL import Image
+
+
+# path = os.path.dirname(__file__)
+# file_ = open(f"{path}/logo.png", "rb")
+# contents = file_.read()
+# data_url = base64.b64encode(contents).decode("utf-8")
+# file_.close()
+
+# def load_local_css(file_name):
+#     with open(file_name) as f:
+#         st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
+
+# def set_header():
+#     return st.markdown(
+#         f"""<div class='main-header'>
+#                     <h1>Synthetic Control</h1>
+#                     <img src="data:image;base64,{data_url}", alt="Logo">
+#             </div>""",
+#         unsafe_allow_html=True,
+#     )
+
+
+st.set_page_config()
+# load_local_css("styles.css")
+# set_header()
+
+st.title("The Art of Words: Vachana's Collection")
+
+
+def load_images_from_folder(folder_path):
+    """
+    Load all images from the specified folder and store them in a dictionary.
+    
+    Args:
+        folder_path (str): Path to the folder containing images.
+        
+    Returns:
+        dict: A dictionary with image filenames as keys and PIL Image objects as values.
+    """
+    images_dict = {}
+    try:
+        for filename in os.listdir(folder_path):
+            if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
+                img_path = os.path.join(folder_path, filename)
+                images_dict[filename] = Image.open(img_path)
+    except Exception as e:
+        st.error(f"Error loading images: {e}")
+    return images_dict
+
+
+# Folder selection
+with st.expander("Click to Discover the Masterpiece"):
+    folder_path = 'Photos'
+    def load_images_from_folder(folder_path, target_size=(200, 200)):
+        """
+        Load all images from the specified folder, resize them to a uniform size, and store them in a dictionary.
+        
+        Args:
+            folder_path (str): Path to the folder containing images.
+            target_size (tuple): Desired size for all images (width, height).
+            
+        Returns:
+            dict: A dictionary with image filenames as keys and resized PIL Image objects as values.
+        """
+        images_dict = {}
+        try:
+            for filename in os.listdir(folder_path):
+                if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
+                    img_path = os.path.join(folder_path, filename)
+                    img = Image.open(img_path).convert("RGB")  # Convert to RGB for consistency
+                    img = img.resize(target_size)  # Resize image
+                    images_dict[filename] = img
+        except Exception as e:
+            st.error(f"Error loading images: {e}")
+        return images_dict
+
+    # Streamlit UI
+    if folder_path:
+        if not os.path.exists(folder_path):
+            st.error("The specified folder path does not exist. Please enter a valid path.")
+        else:
+            # Load images
+            images = load_images_from_folder(folder_path, target_size=(300, 400))  # Set desired size
+            
+            if images:
+                
+                # Display images side by side with a row break
+                cols_per_row = 3  # Adjust the number of images displayed per row
+                images_list = list(images.items())
+                
+                for i in range(0, len(images_list), cols_per_row):
+                    cols = st.columns(cols_per_row)
+                    for col, (img_name, img) in zip(cols, images_list[i:i + cols_per_row]):
+                        with col:
+                            
+                            st.image(img, use_container_width=True)
+                    
+                    # Add a break after each row
+                    st.divider()  # Simple divider
+            else:
+                st.warning("No images found in the specified folder.")
+    else:
+        st.info("Please enter a folder path to load and display images.")
+
+
+