Update app.py

app.py

@@ -1,14 +1,14 @@
+# --- START OF FINAL POLISHED FILE app.py ---
+
 import gradio as gr
 import pandas as pd
 import plotly.express as px
 import time
 from datasets import load_dataset
-# --- FIX 1: Import the new, stable RangeSlider component ---
 from gradio_rangeslider import RangeSlider
 
 # --- Constants ---
 PARAM_CHOICES = ['< 1B', '1B', '5B', '12B', '32B', '64B', '128B', '256B', '> 500B']
-# The new component uses a tuple for its default value
 PARAM_CHOICES_DEFAULT_INDICES = (0, len(PARAM_CHOICES) - 1)
 
 TOP_K_CHOICES = list(range(5, 51, 5))
@@ -80,6 +80,10 @@ with gr.Blocks(title="🤗 ModelVerse Explorer", fill_width=True) as demo:
     models_data_state = gr.State(pd.DataFrame())
     loading_complete_state = gr.State(False)
     
+    # --- FIX 1: The application title is restored here ---
+    with gr.Row():
+        gr.Markdown("# 🤗 ModelVerse Explorer")
+
     with gr.Row():
         with gr.Column(scale=1):
             count_by_dropdown = gr.Dropdown(label="Metric", choices=[("Downloads (last 30 days)", "downloads"), ("Downloads (All Time)", "downloadsAllTime"), ("Likes", "likes")], value="downloads")
@@ -87,7 +91,6 @@ with gr.Blocks(title="🤗 ModelVerse Explorer", fill_width=True) as demo:
             tag_filter_dropdown = gr.Dropdown(label="Select Tag", choices=TAG_FILTER_CHOICES, value=None, visible=False)
             pipeline_filter_dropdown = gr.Dropdown(label="Select Pipeline Tag", choices=PIPELINE_TAGS, value=None, visible=False)
             
-            # --- FIX 2: Replace all previous slider attempts with the stable custom component ---
             param_range_slider = RangeSlider(
                 minimum=0,
                 maximum=len(PARAM_CHOICES) - 1,
@@ -95,7 +98,7 @@ with gr.Blocks(title="🤗 ModelVerse Explorer", fill_width=True) as demo:
                 step=1,
                 label="Parameters"
             )
-            # This markdown will display the selected range labels
+            # This markdown provides the meaningful labels for the slider's numeric range
             param_range_display = gr.Markdown(f"Range: `{PARAM_CHOICES[0]}` to `{PARAM_CHOICES[-1]}`")
 
             top_k_dropdown = gr.Dropdown(label="Number of Top Organizations", choices=TOP_K_CHOICES, value=25)
@@ -107,7 +110,6 @@ with gr.Blocks(title="🤗 ModelVerse Explorer", fill_width=True) as demo:
             status_message_md = gr.Markdown("Initializing...")
             data_info_md = gr.Markdown("")
     
-    # Event handler to update the text display when the slider changes
     def update_param_display(value: tuple):
         min_idx, max_idx = int(value[0]), int(value[1])
         return f"Range: `{PARAM_CHOICES[min_idx]}` to `{PARAM_CHOICES[max_idx]}`"
@@ -168,12 +170,10 @@ with gr.Blocks(title="🤗 ModelVerse Explorer", fill_width=True) as demo:
             plot_stats_md = "No data matches the selected filters. Please try different options."
         else:
             total_items_in_plot = len(treemap_df['id'].unique())
-            # --- FIX 3: Corrected the NameError from the traceback ---
             total_value_in_plot = treemap_df[metric_choice].sum()
             plot_stats_md = f"## Plot Statistics\n- **Models shown**: {total_items_in_plot:,}\n- **Total {metric_choice}**: {int(total_value_in_plot):,}"
         return plotly_fig, plot_stats_md
 
-    # A standard load event, no JS needed anymore.
     demo.load(
         fn=ui_load_data_controller, 
         inputs=[], 
@@ -189,4 +189,6 @@ with gr.Blocks(title="🤗 ModelVerse Explorer", fill_width=True) as demo:
 
 if __name__ == "__main__":
     print(f"Application starting...")
-    demo.queue().launch()
+    demo.queue().launch()
+
+# --- END OF FINAL POLISHED FILE app.py ---