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import streamlit.testing as stt
def test_recognize_face_optimal():
with stt.install_test_input():
stt.test_runner.start("app.py")
# Select the "Recognize Face (Optimal)" option
stt.test_input("Select Option", "Recognize Face (Optimal)")
# Upload an image for optimal face recognition
stt.test_input("Upload Image", "random.jpg")
# Click the "Recognize Face (Optimal)" button
stt.test_input("Recognize Face (Optimal)")
# Verify the optimal recognition result
stt.test_output("Best match: John Doe with a similarity score of 97.50%. Insta handle: <a href='https://www.instagram.com/johndoe123/' target='_blank'><font color='red'>johndoe123</font></a>")
# Clean up
stt.test_runner.cleanup()
test_recognize_face_optimal()
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