fix: replace LFS-tracked CSV with a plain 100K-row sample

LFS was silently serving the pointer file to HF Spaces instead of the
actual data, leaving the online_retail_data.csv unqueryable. Root cause:
HF Spaces does not reliably pull LFS objects for Space repos.

Changes:
- Replace 541K-row 45MB CSV with a random 100K-row 8.56MB sample;
retains full column set and date range, sufficient for all demos
- Remove samples/online_retail_data.csv from LFS tracking in .gitattributes
- Clean up historical-file-specific LFS entries from .gitattributes added
by the earlier lfs migrate (data_file.zip, data_source.db, etc.) since
those files no longer exist in the tree
- Also includes: table_generation_func now renders inline HTML in the
chat message instead of an iframe, adapting naturally to any screen width

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.gitattributes

@@ -33,14 +33,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
-samples/online_retail_data.csv filter=lfs diff=lfs merge=lfs -text
-data_file.zip filter=lfs diff=lfs merge=lfs -text
-data_source.db filter=lfs diff=lfs merge=lfs -text
-online_retail.db filter=lfs diff=lfs merge=lfs -text
-*.xlsx filter=lfs diff=lfs merge=lfs -text
-/Online_retail_AAA.zip filter=lfs diff=lfs merge=lfs -text
-/Online[[:space:]]Retail.xlsx filter=lfs diff=lfs merge=lfs -text
-/online_retail.db filter=lfs diff=lfs merge=lfs -text
-/data_file.zip filter=lfs diff=lfs merge=lfs -text
-/data_source.db filter=lfs diff=lfs merge=lfs -text
-/samples/online_retail_data.csv filter=lfs diff=lfs merge=lfs -text

functions/chart_functions.py

@@ -356,30 +356,51 @@ def histogram_generation_func(x_column: str, session_hash, session_folder, y_col
 
 def table_generation_func(session_hash, session_folder, **kwargs):
     print("TABLE GENERATION")
-    try: 
+    try:
+        from html import escape
+
         dir_path = TEMP_DIR / str(session_hash) / str(session_folder)
         csv_query_path = f'{dir_path}/query.csv'
-        table_path = f'{dir_path}/table.html'
 
         df = pd.read_csv(csv_query_path)
 
-        html_table = df.to_html()
-        print(html_table[:1000])
-
-        with open(table_path, "w") as file:
-         file.write(html_table)
+        total_rows = len(df)
+        max_rows = 200
+        if total_rows > max_rows:
+            df = df.head(max_rows)
+            note = (f'<p class="vda-table-note">Showing first {max_rows} of {total_rows} rows'
+                    ' — refine your query to see more specific results.</p>')
+        else:
+            note = ''
+
+        header_cells = ''.join(f'<th>{escape(str(col))}</th>' for col in df.columns)
+        row_html = [
+            '<tr>' + ''.join(f'<td>{escape(str(val))}</td>' for val in row) + '</tr>'
+            for _, row in df.iterrows()
+        ]
+
+        style = (
+            '<style>'
+            '.vda-table-wrap{overflow-x:auto;margin:8px 0;border-radius:8px;border:1px solid #e5e7eb;}'
+            '.vda-table{width:100%;border-collapse:collapse;font-size:13px;font-family:Inter,system-ui,sans-serif;}'
+            '.vda-table thead th{background:#3B82F6;color:#fff;padding:9px 14px;text-align:left;white-space:nowrap;font-weight:600;}'
+            '.vda-table tbody td{padding:7px 14px;border-bottom:1px solid #f1f5f9;white-space:nowrap;}'
+            '.vda-table tbody tr:nth-child(even){background:#f8fafc;}'
+            '.vda-table tbody tr:last-child td{border-bottom:none;}'
+            '.vda-table-note{font-size:12px;color:#6b7280;margin:4px 0 0;text-align:right;}'
+            '</style>'
+        )
+
+        table = (
+            '<div class="vda-table-wrap"><table class="vda-table">'
+            f'<thead><tr>{header_cells}</tr></thead>'
+            '<tbody>' + '\n'.join(row_html) + '</tbody>'
+            '</table></div>'
+        )
+
+        return {"reply": style + table + note}
 
-        table_url = f'{root_url}/gradio_api/file/temp/{session_hash}/{session_folder}/table.html'
-
-        iframe = 'Please display this iframe: <div style=overflow:auto;><iframe\n scrolling="yes"\n    width="1000px"\n    height="500px"\n    src="' + table_url + '"\n    frameborder="0"\n    allowfullscreen\n></iframe>\n</div>'
-        print(iframe)
-        return {"reply": iframe}
-    
     except Exception as e:
-      print("TABLE ERROR")
-      print(e)
-      reply = f"""There was an error generating the Pandas DataFrame table results.
-              The error is {e},
-              You should probably try again.
-              """
-      return {"reply": reply}    
+        print("TABLE ERROR")
+        print(e)
+        return {"reply": f"There was an error generating the table. Error: {e}. You should probably try again."}