team14: image filtering version working on local PC

README.md

@@ -1,5 +1,5 @@
 ---
-title: Image Filtering On Encrypted Data Using Fully Homomorphic Encryption
+title: Biometric-image matching On Encrypted Data Using Fully Homomorphic Encryption
 emoji: 📸 🌄
 colorFrom: purple
 colorTo: purple
@@ -9,14 +9,14 @@ app_file: app.py
 pinned: true
 tags: [FHE, PPML, privacy, privacy preserving machine learning, image processing, 
   homomorphic encryption, security]
-python_version: 3.8.16
+python_version: 3.10.13
 ---
 
-# Image filtering using FHE
+# Biometric image matching using FHE
 
 ## Run the application on your machine
 
-In this directory, ie `image_filtering`, you can do the following steps.
+In this directory, ie `team14`, you can do the following steps.
 
 ### Install dependencies
 

requirements.txt

@@ -1,2 +1,3 @@
 concrete-ml==1.1.0
 gradio
+more_itertools

server.py

@@ -10,9 +10,11 @@ from client_server_interface import FHEServer
 
 # Load the server objects related to all currently available filters once and for all
 FHE_SERVERS = {
-    filter: FHEServer(FILTERS_PATH / f"{filter}/deployment") for filter in AVAILABLE_FILTERS
+    filter: FHEServer(FILTERS_PATH / f"{filter}/deployment")
+    for filter in AVAILABLE_FILTERS
 }
 
+
 def get_server_file_path(name, user_id, filter_name):
     """Get the correct temporary file path for the server.
 
@@ -30,10 +32,11 @@ def get_server_file_path(name, user_id, filter_name):
 # Initialize an instance of FastAPI
 app = FastAPI()
 
+
 # Define the default route
 @app.get("/")
 def root():
-    return {"message": "Welcome to Your Image FHE Filter Server!"}
+    return {"message": "Welcome to Your biometric image matching!"}
 
 
 @app.post("/send_input")
@@ -46,7 +49,7 @@ def send_input(
     # Retrieve the encrypted input image and the evaluation key paths
     encrypted_image_path = get_server_file_path("encrypted_image", user_id, filter)
     evaluation_key_path = get_server_file_path("evaluation_key", user_id, filter)
-    
+
     # Write the files using the above paths
     with encrypted_image_path.open("wb") as encrypted_image, evaluation_key_path.open(
         "wb"
@@ -66,9 +69,9 @@ def run_fhe(
     evaluation_key_path = get_server_file_path("evaluation_key", user_id, filter)
 
     # Read the files using the above paths
-    with encrypted_image_path.open("rb") as encrypted_image_file, evaluation_key_path.open(
+    with encrypted_image_path.open(
         "rb"
-    ) as evaluation_key_file:
+    ) as encrypted_image_file, evaluation_key_path.open("rb") as evaluation_key_file:
         encrypted_image = encrypted_image_file.read()
         evaluation_key = evaluation_key_file.read()