Update app.py

app.py

@@ -1,20 +1,34 @@
 # app.py
 
-import gradio as gr
+# ─── monkey-patch Gradio to swallow API-info errors ───
+import gradio as _gr
+
+_orig_get_api_info = _gr.Blocks.get_api_info
+
+def _safe_get_api_info(self):
+    try:
+        return _orig_get_api_info(self)
+    except Exception:
+        # return empty spec if parsing fails
+        return {}
+
+_gr.Blocks.get_api_info = _safe_get_api_info
+# ───────────────────────────────────────────────────────
 
-# ─── monkey‑patch gradio_client.utils.get_type to handle boolean schemas ───
-import gradio_client.utils as client_utils
+# ─── optional: patch client_utils.get_type to handle boolean schemas ───
+import gradio_client.utils as _client_utils
+
+_orig_get_type = _client_utils.get_type
 
-_orig_get_type = client_utils.get_type
 def safe_get_type(schema, *args, **kwargs):
-    # if a JSON‑schema node is literally True/False, just treat it as a generic dict
     if isinstance(schema, bool):
         return "dict"
     return _orig_get_type(schema, *args, **kwargs)
 
-client_utils.get_type = safe_get_type
-# ─────────────────────────────────────────────────────────────────────────────
+_client_utils.get_type = safe_get_type
+# ─────────────────────────────────────────────────────────────────────
 
+import gradio as gr
 import pandas as pd
 from fuzzywuzzy import process, fuzz
 import tempfile
@@ -22,6 +36,7 @@ import os
 from openpyxl import load_workbook
 from openpyxl.styles import Alignment
 
+
 def auto_correct_names(series, threshold=90):
     """Auto-correct typos in chatter names using fuzzy matching."""
     unique_names = series.dropna().unique()
@@ -39,6 +54,7 @@ def auto_correct_names(series, threshold=90):
     
     return series.replace(name_mapping)
 
+
 def adjust_excel_formatting(file_path):
     """Adjust column widths and enable text wrapping in Excel file."""
     wb = load_workbook(file_path)
@@ -55,88 +71,63 @@ def adjust_excel_formatting(file_path):
 
     wb.save(file_path)
 
+
 def process_file(input_file):
     """Process uploaded Excel file and return output"""
     try:
-        # Read input file
         input_df = pd.read_excel(input_file, header=1)
-        
-        # Store original date order
         date_columns = input_df.columns[1:].tolist()
-        
-        # Melt to long format
         df_long = input_df.melt(
-            id_vars=[input_df.columns[0]], 
-            var_name='DATE', 
+            id_vars=[input_df.columns[0]],
+            var_name='DATE',
             value_name='CHATTER'
         )
-        
-        # Force date order
         df_long['DATE'] = pd.Categorical(
-            df_long['DATE'], 
+            df_long['DATE'],
             categories=date_columns,
             ordered=True
         )
-        
-        # Clean names
         df_long['CHATTER'] = auto_correct_names(df_long['CHATTER'])
-        
-        # Group and pivot
         grouped = df_long.groupby(['CHATTER', 'DATE'], observed=True)[input_df.columns[0]] \
             .apply(lambda x: ', '.join(sorted(x))).reset_index()
-        
         pivoted = grouped.pivot(index='CHATTER', columns='DATE', values=input_df.columns[0])
         chatter_order = grouped['CHATTER'].value_counts().index.tolist()
         final_df = pivoted.reindex(chatter_order)[date_columns].fillna("OFF")
-        
-        # Reset index to show chatter names in preview
         final_df = final_df.reset_index()
-        
-        # Create temp file with original filename + "_processed"
         original_filename = os.path.basename(input_file)
         name_part, ext_part = os.path.splitext(original_filename)
         processed_filename = f"{name_part}_processed{ext_part}"
         temp_file_path = os.path.join(tempfile.gettempdir(), processed_filename)
-        
         final_df.to_excel(temp_file_path, index=False, sheet_name='Schedule')
-
-        # Adjust formatting to ensure everything fits within cells
         adjust_excel_formatting(temp_file_path)
-
         return final_df, temp_file_path
-
     except Exception as e:
         error_df = pd.DataFrame({"Error": [f"⚠️ {str(e)}"]})
         return error_df, None
 
-# Add the missing download_file function
+
 def download_file(out_path):
     """Return the processed file path for download"""
     return out_path
 
-# Gradio interface
 with gr.Blocks(title="Schedule Processor") as demo:
     gr.Markdown("# 📅 Schedule Processor")
     gr.Markdown("Upload your schedule Excel file and download the formatted version")
-    
     with gr.Row():
         input_file = gr.File(label="Upload Schedule File", type="filepath")
-    
     with gr.Row():
         process_btn = gr.Button("Process File", variant="primary")
         reset_btn = gr.Button("Upload New File")
-    
     output_table = gr.Dataframe(label="Preview", wrap=True)
     download_button = gr.Button("Download Processed File", visible=False)
     temp_file_path = gr.State(value=None)
 
     def reset_components():
-        """Reset all components to initial state"""
         return [
-            None,  # Clear file input
-            pd.DataFrame(),  # Clear output table
-            None,  # Reset temp file path
-            gr.update(visible=False)  # Hide download button
+            None,
+            pd.DataFrame(),
+            None,
+            gr.update(visible=False)
         ]
 
     def process_and_show(file):