Update app.py

app.py

@@ -113,54 +113,6 @@ import altair as alt
 import pandas as pd
 import os
 
-def progress_bar_chart() -> alt.Chart:
-    # Load your data
-    source_dataset, _ = obtain_source_target_datasets()
-    total_records = int(os.getenv("TARGET_RECORDS"))
-    annotated_records = len(source_dataset)
-    percentage_complete = annotated_records / total_records * 100
-
-    # Define the data for the bars
-    progress_data = pd.DataFrame({
-        'category': ['Completed', 'Pending'],
-        'value': [annotated_records, total_records - annotated_records]
-    })
-
-    # Base chart for the progress
-    base = alt.Chart(progress_data).encode(
-        alt.X('value:Q', scale=alt.Scale(domain=[0, total_records]), title='Number of Records'),
-        alt.Y('category:N', title='')
-    )
-
-    # Colored bar for completion
-    bar = base.mark_bar(size=50, color='#28a745').transform_filter(
-        alt.datum.category == 'Completed'
-    )
-
-    # Gray bar for pending
-    background = base.mark_bar(size=50, color='#dcdcdc').transform_filter(
-        alt.datum.category == 'Pending'
-    )
-
-    # Text for the completed records
-    text = base.mark_text(align='left', dx=3, dy=0, fontSize=16, fontWeight='bold', color='black').encode(
-        text='value:Q'
-    ).transform_filter(
-        alt.datum.category == 'Completed'
-    )
-
-    # Combine the charts
-    chart = alt.layer(background, bar, text).resolve_scale(y='independent').properties(
-        width=700,
-        height=400,
-        title='Progress Towards Goal'
-    ).configure_view(
-        strokeWidth=0
-    ).configure_axis(
-        grid=False
-    )
-
-    return chart
 
 def donut_chart() -> alt.Chart:
     """
@@ -275,7 +227,7 @@ def main() -> None:
         )
         plot = gr.Plot(label="Plot")
         demo.load(
-            progress_bar_chart,
+            gauge_chart,
             inputs=[],
             outputs=[plot],
         )