| 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() | |