Update app.py

app.py

@@ -1,12 +1,9 @@
 import streamlit as st
 from bokeh.plotting import figure
-from bokeh.models import ColumnDataSource, HoverTool
-
-from datasets import load_dataset
-from bokeh.models import ColumnDataSource, LinearColorMapper, ColorBar
+from bokeh.models import ColumnDataSource, HoverTool, LinearColorMapper, ColorBar, BasicTicker
 from bokeh.transform import linear_cmap
-from bokeh.palettes import Viridis256  # You can choose any palette you like and reverse it using [::-1]
-from bokeh.models import BasicTicker
+from bokeh.palettes import Viridis256
+from datasets import load_dataset
 
 # Load the dataset
 dataset = load_dataset("tonyassi/lucy7-embeddings-xy")['train']
@@ -22,20 +19,17 @@ data = {
 
 source = ColumnDataSource(data=data)
 
-
 # Create a color mapper with reversed palette
 color_mapper = linear_cmap(field_name='id', palette=Viridis256[::-1], low=0, high=len(data['id']))
 
 # Create the figure
-p = figure(title="Scatter Plot with Image Hover",tools="pan,box_zoom,wheel_zoom,zoom_in,zoom_out,save,reset,hover", width=1500, height=1000, tooltips="""
+p = figure(title="Scatter Plot with Image Hover", tools="pan,box_zoom,wheel_zoom,zoom_in,zoom_out,save,reset,hover", 
+           width=1500, height=1000, tooltips="""
     <div>
         <div><strong>@label</strong></div>
         <div><img src="@image" ></div>
     </div>
 """)
-
-p.min_border_left = 10 
-
 p.circle('x', 'y', size=5, source=source, color=color_mapper)  # Apply the color mapper
 
 # Add color bar
@@ -43,9 +37,18 @@ color_bar = ColorBar(color_mapper=color_mapper['transform'], width=8, location=(
                      ticker=BasicTicker(desired_num_ticks=10))
 p.add_layout(color_bar, 'right')  # Position the color bar to the right
 
-st.html("""
-<br><br><br><br><br><br>
-""")
+# Add custom CSS to adjust layout
+st.markdown("""
+    <style>
+        .bokeh-chart-container {
+            margin-left: -100px;  /* Adjust the value as needed */
+        }
+    </style>
+    <div class="bokeh-chart-container">
+""", unsafe_allow_html=True)
 
 # Display the Bokeh figure in Streamlit
 st.bokeh_chart(p)
+
+# Close the div
+st.markdown("</div>", unsafe_allow_html=True)