Update app.py

app.py

@@ -5,7 +5,6 @@ import requests
 import face_recognition
 import os
 import streamlit as st
-import csv
 
 # Set page title and description
 st.set_page_config(
@@ -40,18 +39,6 @@ def validate_aadhaar(aadhaar):
     # For simplicity, let's assume any 6-digit number is a valid Aadhaar card
     return len(aadhaar) == 6 and aadhaar.isdigit()
 
-# Function to read names and Aadhaar numbers from a CSV file
-def read_csv(file_path):
-    data = []
-    with open(file_path, mode='r') as file:
-        reader = csv.reader(file)
-        for row in reader:
-            data.append(row)
-    return data
-
-# Load names and Aadhaar numbers from CSV file
-csv_data = read_csv('csv.csv')  # Replace 'your_csv_file.csv' with the actual file path
-
 # Take picture using the camera and input Aadhaar card details
 img_file_buffer = st.camera_input("Take a picture")
 aadhaar_number = st.text_input("Enter Aadhaar Number:")
@@ -71,6 +58,7 @@ if img_file_buffer is not None:
 
         if len(encodesCurFrame) > 0:
             for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
+                # Assuming that encodeListknown is defined and populated in your code
                 matches = face_recognition.compare_faces(encodeListknown, encodeFace)
                 faceDis = face_recognition.face_distance(encodeListknown, encodeFace)
                 matchIndex = np.argmin(faceDis)
@@ -101,7 +89,7 @@ if img_file_buffer is not None:
             # Match Aadhaar number with the list
             aadhar_index = aadhar_numbers.index(aadhaar_number) if aadhaar_number in aadhar_numbers else None
             if aadhar_index is not None:
-                st.success(f"Match found: {csv_data[aadhar_index][0]}")
+                st.success(f"Match found: {classnames[aadhar_index]}")
             else:
                 st.warning("Face not detected, and Aadhaar number not found in the database.")
         else: