Update app.py

app.py

@@ -1,139 +0,0 @@
-import gradio as gr
-import pandas as pd
-import tempfile
-import os
-from openpyxl import load_workbook
-from openpyxl.styles import Alignment
-
-def adjust_excel_formatting(file_path):
-    wb = load_workbook(file_path)
-    ws = wb.active
-    for col in ws.columns:
-        max_length = 0
-        col_letter = col[0].column_letter
-        for cell in col:
-            if cell.value:
-                max_length = max(max_length, len(str(cell.value)))
-            cell.alignment = Alignment(wrap_text=True)
-        ws.column_dimensions[col_letter].width = max_length + 2
-    wb.save(file_path)
-
-def process_file_a_to_b(input_file):
-    try:
-        input_df = pd.read_excel(input_file.name, header=1)
-        date_columns = input_df.columns[1:].tolist()
-        df_long = input_df.melt(
-            id_vars=[input_df.columns[0]],
-            var_name='DATE',
-            value_name='CHATTER'
-        )
-        df_long = df_long[df_long['CHATTER'].notna()]
-        df_long = df_long[df_long['CHATTER'] != '']
-        df_long = df_long[df_long['CHATTER'] != 'OFF']
-        grouped = df_long.groupby(['CHATTER', 'DATE'])[input_df.columns[0]].apply(
-            lambda x: ', '.join(sorted(x))
-        ).reset_index()
-        pivoted = grouped.pivot(
-            index='CHATTER',
-            columns='DATE',
-            values=input_df.columns[0]
-        )
-        pivoted = pivoted[date_columns]
-        # Use the order of chatters as they appear in the input file
-        input_order = grouped['CHATTER'].drop_duplicates().tolist()
-        final_df = pivoted.reindex(input_order)
-        final_df = final_df.fillna('OFF')
-        final_df = final_df.reset_index()
-        final_df = final_df.rename(columns={'index': 'CHATTER'})
-        return final_df
-    except Exception as e:
-        return pd.DataFrame({"Error": [str(e)]})
-
-def process_file_b_to_a(input_file):
-    try:
-        input_df = pd.read_excel(input_file.name, header=0)
-        date_columns = input_df.columns[1:].tolist()
-        df_long = input_df.melt(
-            id_vars=[input_df.columns[0]],
-            var_name='DATE',
-            value_name='MODEL'
-        )
-        df_long = df_long[df_long['MODEL'].notna()]
-        df_long = df_long[df_long['MODEL'] != '']
-        df_long = df_long[df_long['MODEL'] != 'OFF']
-        df_long['MODEL'] = df_long['MODEL'].str.split(', ')
-        df_long = df_long.explode('MODEL')
-        grouped = df_long.groupby(['MODEL', 'DATE'])[input_df.columns[0]].apply(
-            lambda x: ', '.join(sorted(x))
-        ).reset_index()
-        pivoted = grouped.pivot(
-            index='MODEL',
-            columns='DATE',
-            values=input_df.columns[0]
-        )
-        pivoted = pivoted[date_columns]
-        # Use the order of models as they appear in the input file
-        input_order = grouped['MODEL'].drop_duplicates().tolist()
-        final_df = pivoted.reindex(input_order)
-        final_df = final_df.fillna('OFF')
-        final_df = final_df.reset_index()
-        final_df = final_df.rename(columns={'index': 'MODEL'})
-        return final_df
-    except Exception as e:
-        return pd.DataFrame({"Error": [str(e)]})
-
-def convert_schedule(file, direction):
-    if direction == "Format A → Format B":
-        df = process_file_a_to_b(file)
-    else:
-        df = process_file_b_to_a(file)
-    # Save to temp file for download
-    with tempfile.NamedTemporaryFile(delete=False, suffix='.xlsx') as tmp:
-        df.to_excel(tmp.name, index=False)
-        adjust_excel_formatting(tmp.name)
-        tmp.seek(0)
-        data = tmp.read()
-    return df, (tmp.name,)
-
-def download_file(file_tuple):
-    return file_tuple[0]
-
-demo = gr.Blocks()
-with demo:
-    gr.Markdown("# 📅 Schedule Converter")
-    gr.Markdown("Upload your schedule Excel file, select conversion direction, and download the result.")
-    with gr.Row():
-        file = gr.File(label="Upload Schedule File", type="filepath")
-        direction = gr.Dropdown([
-            "Format A → Format B",
-            "Format B → Format A"
-        ], value="Format A → Format B", label="Conversion Direction")
-    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():
-        return [None, pd.DataFrame(), None, gr.update(visible=False)]
-    def process_and_show(file, direction):
-        df, out_path = convert_schedule(file, direction)
-        if out_path:
-            return df, out_path, gr.update(visible=True)
-        return df, None, gr.update(visible=False)
-    process_btn.click(
-        process_and_show,
-        inputs=[file, direction],
-        outputs=[output_table, temp_file_path, download_button]
-    )
-    reset_btn.click(
-        reset_components,
-        outputs=[file, output_table, temp_file_path, download_button]
-    )
-    download_button.click(
-        download_file,
-        inputs=temp_file_path,
-        outputs=gr.File(label="Processed Schedule")
-    )
-
-demo.launch()