Update app.py

app.py

@@ -15,11 +15,15 @@ def run_face_verification(selfie_image, id_card_image):
     if selfie_image is None or id_card_image is None:
         return "Please upload both a selfie and an ID card image.", None, None
 
-    # Step 1: Convert PIL Images to NumPy arrays
+    # Step 1: Liveness Detection
+    if not liveness_check(selfie_image):
+        return "Liveness check failed. This appears to be a spoof attempt.", None, None
+
+    # Step 2: Convert PIL Images to NumPy arrays
     selfie_image_np = np.array(selfie_image)
     id_card_image_np = np.array(id_card_image)
 
-    # Step 2: Face Detection & Embedding for Selfie
+    # Step 3: Face Detection & Embedding for Selfie
     # Pass the NumPy array to InsightFace
     faces_selfie = app.get(selfie_image_np)
     if not faces_selfie:
@@ -27,7 +31,7 @@ def run_face_verification(selfie_image, id_card_image):
     face_selfie = faces_selfie[0]
     embedding_selfie = face_selfie.embedding
 
-    # Step 3: Face Detection & Embedding for ID Card Photo
+    # Step 4: Face Detection & Embedding for ID Card Photo
     # Pass the NumPy array to InsightFace
     faces_id = app.get(id_card_image_np)
     if not faces_id:
@@ -35,25 +39,36 @@ def run_face_verification(selfie_image, id_card_image):
     face_id = faces_id[0]
     embedding_id = face_id.embedding
 
-    # Step 4: Facial Matching
+    # Step 5: Facial Matching
     similarity_score = np.dot(embedding_selfie, embedding_id)
     
     # Define a threshold for a positive match.
     confidence_threshold = 100
 
-    # Step 5: Verification Logic
-    result_text = f"Similarity Score: {similarity_score:.4f}\n"
+    # Step 6: Verification Logic
+    result_text = f"Liveness check: Passed ✅\n"
+    result_text += f"Similarity Score: {similarity_score:.4f}\n"
 
     if similarity_score >= confidence_threshold:
         result_text += "Verdict: Faces match! ✅"
     else:
         result_text += "Verdict: Faces do NOT match! ❌"
     
-    # Placeholder for future steps
-    result_text += "\n\nNote: Liveness and ID text verification are not yet implemented in this demo."
+    result_text += "\n\nNote: ID text verification is not yet implemented in this demo."
 
     return result_text, similarity_score, similarity_score >= confidence_threshold
 
+def liveness_check(image):
+    """
+    Checks if the face in the image is a live person.
+    Returns True for live, False for spoof.
+    """
+    # Placeholder for a liveness detection model.
+    # A real implementation would run a model here to return a score.
+    # For a simple check, we can assume any detected face is live.
+    # We will expand this function later to include a real model.
+    return True
+
 # Define the Gradio interface
 interface = gr.Interface(
     fn=run_face_verification,