Update app.py

app.py

@@ -1,8 +1,15 @@
 import pandas as pd
 import gradio as gr
+import hashlib
+from datetime import datetime
 
-# Function to create a vCard entry from a DataFrame row
+# Function to create a vCard entry with UID and REV fields
 def create_vcf(row):
+    # Generate a unique UID based on the email (using a hash for consistency)
+    email = row['Email']
+    uid = hashlib.md5(email.encode()).hexdigest()
+    rev = datetime.now().strftime('%Y-%m-%dT%H:%M:%SZ')  # Current timestamp for revision
+
     vcf_template = """BEGIN:VCARD
 VERSION:3.0
 PRODID:-//Apple Inc.//iPhone OS 17.2.1//EN
@@ -12,23 +19,26 @@ ORG:BAT Bangladesh;{function}
 TITLE:{designation}
 TEL;TYPE=CELL;TYPE=VOICE;TYPE=pref:{number}
 EMAIL:{email}
+UID:{uid}
+REV:{rev}
 END:VCARD"""
-    # Formatting the row data into vCard format
     return vcf_template.format(
         name=row['Name'],
         function=row['Function'],
         designation=row['Designation'],
         number=row['Number'],
-        email=row['Email']
+        email=email,
+        uid=uid,
+        rev=rev
     )
 
-# Function to generate the VCF file from the uploaded Excel data
+# Function to generate the VCF file
 def generate_vcf(file):
-    # Load Excel file
+    # Load the Excel file
     df = pd.read_excel(file)
-    df['Number'] = df['Number'].astype(str)  # Convert phone numbers to string to avoid formatting issues
+    df['Number'] = df['Number'].astype(str)  # Ensure phone numbers are strings
     
-    # Combine each vCard entry into a single VCF file content
+    # Generate the VCF data
     vcf_data = df.apply(create_vcf, axis=1).str.cat(sep='\n\n')
     
     # Write the VCF data to a file
@@ -38,7 +48,7 @@ def generate_vcf(file):
     
     return vcf_file_name
 
-# Custom CSS and HTML for a refined UI
+# Custom CSS and HTML
 css = """
 .gradio-container {
     background: rgb(14, 43, 99);