Update app.py

app.py

@@ -9,17 +9,23 @@ import torch
 import numpy as np
 from PIL import Image
 from facenet_pytorch import MTCNN, InceptionResnetV1
+import json
 
 # Load Google Drive API credentials from the uploaded JSON file
-SERVICE_ACCOUNT_FILE = './salesforce-api-439514-d6b432a2e20e.json'  # Assuming the JSON file is in the root directory
+SERVICE_ACCOUNT_FILE = './.env'  # Assuming the uploaded JSON file is named '.env'
 SCOPES = ['https://www.googleapis.com/auth/drive']
-credentials = service_account.Credentials.from_service_account_file(SERVICE_ACCOUNT_FILE, scopes=SCOPES)
+
+# Load credentials from the JSON file
+with open(SERVICE_ACCOUNT_FILE, 'r') as json_file:
+    credentials_info = json.load(json_file)
+
+credentials = service_account.Credentials.from_service_account_info(credentials_info, scopes=SCOPES)
 drive_service = build('drive', 'v3', credentials=credentials)
 
 # Folder IDs
-aadhar_folder_id = '1jXklVbxTni1gnduuKgJ7zI6zVks6s0LP'
-cphotos_folder_id = '1JVJMtHuIHxZyxAekT6ZQFkEWePOimIlX'
-suspects_folder_id = '1LJE5aw_g5Jvqd5cLZ7UiJ8LyR36JkBKP'
+aadhar_folder_id = '1Qtb5DYzSFE67Mbb5ZgDIqWUtdJaDD2F4'
+cphotos_folder_id = '1DGeRqRbCPcfLDdEgP0h5fyX-MF8EQ8AH'
+suspects_folder_id = '1N3RMhVD0OygeufLPYod6IYLtqzvlm3Jv'
 
 # Initialize MTCNN for face detection and InceptionResnetV1 for face recognition
 mtcnn = MTCNN(image_size=160, margin=0, min_face_size=20)
@@ -141,7 +147,7 @@ def process_images(aadhar_folder_id, cphotos_folder_id, suspects_folder_id):
         if not matched:
             upload_file(file_path, suspects_folder_id)
             print(f"Unmatched image uploaded: {file['name']}")
-    
+
     print("Processing of images completed.")
 
 def main():