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app.py

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+import gradio as gr
+import numpy as np
+import cv2
+import joblib
+from sklearn.metrics.pairwise import euclidean_distances
+
+# Load model files
+mean_face = np.load("model/mean_face.npy")
+eigenfaces = np.load("model/eigenfaces.npy")
+projections = np.load("model/projections.npy")
+labels = np.load("model/labels.npy")
+label_names = np.load("model/label_names.npy")
+with open("model/img_shape.txt", "r") as f:
+    img_h, img_w = map(int, f.read().strip().split())
+
+# Distance threshold (tune based on performance)
+THRESHOLD = 8000
+
+def recognize_face_from_frame(frame):
+    # Convert to grayscale
+    img = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    # Resize to training size
+    img = cv2.resize(img, (img_w, img_h))
+    # Flatten and normalize
+    img_flat = img.flatten()
+    img_centered = img_flat - mean_face
+    # Project to eigenface space
+    projected = np.dot(img_centered, eigenfaces.T)
+
+    # Compare with stored projections
+    dists = euclidean_distances([projected], projections)[0]
+    min_dist = np.min(dists)
+    min_index = np.argmin(dists)
+
+    if min_dist < THRESHOLD:
+        predicted_name = label_names[labels[min_index]]
+        return f"🧠 Predicted: {predicted_name} (distance: {min_dist:.2f})"
+    else:
+        return "😕 Unknown face"
+
+# Web UI
+iface = gr.Interface(
+    fn=recognize_face_from_frame,
+    inputs=gr.Image(source="webcam", streaming=False),
+    outputs="text",
+    title="🔍 EigenFace Recognition",
+    description="Scan your face. If you're in the dataset, the system will recognize you."
+)
+
+iface.launch()

model/eigenfaces.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:901fe3c76ff23cce149af0198bf054afa335a23f6059c5caa1a8fa0750d4cd61
+size 4000128

model/img_shape.txt

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+100 100

model/label_names.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:95a47b3adf7d2655e7510db1ec8c8a3fe9cf8570685570e4dad049f9256b0ddb
+size 608

model/labels.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6b5231638be0dbd85128e0f8684dc477f9e475b26f156714074b4f1f7853f942
+size 3328

model/mean_face.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d0bc76df55e69cb65f8195ba8d672e9f68dbe6eb1464cb3183f4f81a41e4ee6e
+size 80128

model/pca_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2d1a6e21a20ba2f98d48636d0285b231b1bf78b848947edab26db11a91b8f2ec
+size 4082126

model/projections.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d5aa77c51e5bb15bc006728e721a7d5697d499d24c3565e2cc532310215b5d12
+size 160128

requirements.txt

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+gradio
+numpy
+opencv-python
+scikit-learn
+joblib