Create app.py

app.py

@@ -0,0 +1,38 @@
+import pandas as pd
+import random
+import gradio as gr
+import os
+
+def group_names(file, members_per_group):
+    # Read the CSV file
+    df = pd.read_csv(file.name)
+    
+    # Shuffle the DataFrame
+    df = df.sample(frac=1).reset_index(drop=True)
+    
+    # Grouping
+    groups = []
+    for i in range(0, len(df), members_per_group):
+        groups.append(df[i:i + members_per_group])
+
+    # Creating a new DataFrame for grouped data
+    grouped_df = pd.DataFrame({'Group': [f'Group {i+1}' for i, group in enumerate(groups)],
+                               'Names': [', '.join(group['Names'].tolist()) for group in groups]})
+    
+    return grouped_df
+
+def main_interface(file, members_per_group):
+    grouped_df = group_names(file, members_per_group)
+    # Save the DataFrame to a CSV file
+    output_filename = '/tmp/grouped_names.csv'
+    grouped_df.to_csv(output_filename, index=False)
+    return output_filename
+
+iface = gr.Interface(
+    fn=main_interface,
+    inputs=[gr.File(label="Upload CSV File"), gr.Number(label="Members per Group", value=5)],
+    outputs=gr.File(label="Download Grouped Names CSV"),
+    allow_flagging="never"
+)
+
+iface.launch()