Create test_recognize_face_optimal.py

test_recognize_face_optimal.py

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+import streamlit.testing as stt
+
+def test_recognize_face_optimal():
+    with stt.install_test_input():
+        stt.test_runner.start("path_to_your_script.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", "path_to_image.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()