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Home.py

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+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.")
+
+
+

README.md

@@ -1,12 +1,12 @@
----
-title: Vachana
-emoji: 📈
-colorFrom: blue
-colorTo: red
-sdk: streamlit
-sdk_version: 1.41.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: SCM
+emoji: 👀
+colorFrom: indigo
+colorTo: yellow
+sdk: streamlit
+sdk_version: 1.40.0
+app_file: Home.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

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+dash==2.9.3
+dash_auth==2.0.0
+dash_bootstrap_components==1.4.1
+holidays==0.24
+hyperopt==0.2.7
+joblib==1.2.0
+matplotlib==3.5.1
+mdutils==1.5.0
+numpy==1.22.4
+openpyxl==3.0.10
+openpyxl_image_loader==1.0.5
+pandas==1.5.2
+# Pillow==9.4.0
+Pillow==10.2.0
+plotly==5.14.1
+pmdarima==2.0.2
+prophet==1.1.2
+python-dotenv==1.0.0
+# pytz==2022.7.1
+pytz==2022.7
+scikit_learn==1.2.2
+scipy==1.7.3
+seaborn==0.11.2
+shap==0.41.0
+statsmodels==0.13.5
+streamlit==1.27.2
+streamlit-aggrid==0.3.4.post3
+sweetviz==2.3.1
+waitress==2.1.2
+xgboost==1.6.2

styles.css

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+html {
+    margin: 0;
+}
+
+#MainMenu {
+    
+    visibility: collapse;
+}
+
+footer {
+    visibility: collapse;
+}
+
+div.block-container{
+    padding: 2rem 3rem;
+}
+
+
+.main-header {
+    display: flex;
+    flex-direction: row;
+    justify-content: space-between;
+    align-items: center;
+}
+.main-header > img {
+    max-height: 96px;
+    /* max-width: 300px; */
+    object-fit: cover;
+}
+
+
+
+button  div {
+    overflow: hidden;
+    text-overflow:ellipsis;
+    white-space: nowrap;
+}
+
+
+
+h1 {
+    color: #053057;
+}
+
+hr {
+   height: 10px !important;
+   color: #053057;
+}
+
+p.plot-header {
+    font-size: small;
+    font-weight: bold;
+}
+  
+hr {
+    margin: 0 0 10 0;
+    padding: 0;
+}