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Create app.py
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app.py
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import face_recognition
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import cv2
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import joblib
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import gradio as gr
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encodings = joblib.load('/content/saved_encodings')
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names = joblib.load('/content/saved_names')
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def FaceRec(img):
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img_enc = face_recognition.face_encodings(img)[0]
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results = face_recognition.compare_faces((encodings), img_enc)
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for i in range(len(results)):
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if results[i]:
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name = names[i]
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(top, right, bottom, left) = face_recognition.face_locations(img)[0]
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cv2.rectangle(img, (left, top), (right, bottom), (0, 0, 255), 2)
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cv2.putText(img, name, (left+2, bottom+20), cv2.FONT_HERSHEY_PLAIN, 1, (255, 255, 255), 1)
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return img
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interface = gr.Interface(FaceRec, gr.inputs.Image(shape=(200,200)), "image")
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interface.launch(debug = True, inline = False)
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