Updated the requirements.txt file

Author: GenaNiv

requirements.txt

@@ -1,3 +1,4 @@
 librosa==0.10.2.post1
 numpy==2.0.2
 scikit-learn==1.5.2
+matplotlib==3.9.2

test_main.py

@@ -0,0 +1,107 @@
+import os
+from src.speaker_enrollment import SpeakerEnrollment
+from src.file_management.bst import BinarySearchTree
+from src.file_management.file_management import FileManagementInterface
+
+def setup_environment(base_directory):
+    # Ensure the base directory for models and metadata exists
+    if not os.path.exists(os.path.join(base_directory, "models")):
+        os.makedirs(os.path.join(base_directory, "models"))
+    if not os.path.exists(os.path.join(base_directory, "audio_files")):
+        os.makedirs(os.path.join(base_directory, "audio_files"))
+    if not os.path.exists(os.path.join(base_directory, "metadata")):
+        os.makedirs(os.path.join(base_directory, "metadata"))
+    print(f"Test environment set up at {base_directory}")
+
+def test_speaker_enrollment():
+    base_directory = "./test_environment"
+    bst = BinarySearchTree()
+
+    # Initialize the SpeakerEnrollment system
+    speaker_enrollment = SpeakerEnrollment(
+        bst=bst,
+        base_directory=base_directory
+    )
+
+    # Step 1: Set up environment
+    setup_environment(base_directory)
+
+    # Step 2: Test speaker enrollment
+    #test_wav_file = os.path.join(base_directory, "audio_files", "sample_speaker.wav")
+    test_wav_file ="/home/gena/PROJECTS/voice-recognition-engine/audio_files/gena.wav"
+
+    # Simulate the existence of a wav file for testing
+    #if not os.path.exists(test_wav_file):
+    #    with open(test_wav_file, "w") as f:
+    #        f.write("Simulated audio content")
+
+    #Speaker 1
+    speaker_name = "gena_speaker"
+    enrollment_success = speaker_enrollment.enroll_speaker(speaker_name, test_wav_file)
+
+    if enrollment_success:
+        print("Speaker enrollment test passed.")
+    else:
+        print("Speaker enrollment test failed.")
+
+    #Speaker 2
+    test_wav_file ="/home/gena/PROJECTS/voice-recognition-engine/audio_files/women.wav"
+    speaker_name = "women_speaker"
+    enrollment_success = speaker_enrollment.enroll_speaker(speaker_name, test_wav_file)
+
+    if enrollment_success:
+        print("Speaker enrollment test passed.")
+    else:
+        print("Speaker enrollment test failed.")
+    
+    #Speaker 3
+    test_wav_file ="/home/gena/PROJECTS/voice-recognition-engine/audio_files/man.wav"
+    speaker_name = "men_speaker"
+    enrollment_success = speaker_enrollment.enroll_speaker(speaker_name, test_wav_file)
+
+    if enrollment_success:
+        print("Speaker enrollment test passed.")
+    else:
+        print("Speaker enrollment test failed.")
+        
+    #Speaker 4
+    test_wav_file ="/home/gena/PROJECTS/voice-recognition-engine/audio_files/leah.wav"
+    speaker_name = "leah_speaker"
+    enrollment_success = speaker_enrollment.enroll_speaker(speaker_name, test_wav_file)
+
+    if enrollment_success:
+        print("Speaker enrollment test passed.")
+    else:
+        print("Speaker enrollment test failed.")
+        
+    #Speaker 5
+    test_wav_file ="/home/gena/PROJECTS/voice-recognition-engine/audio_files/maria.wav"
+    speaker_name = "maria_speaker"
+    enrollment_success = speaker_enrollment.enroll_speaker(speaker_name, test_wav_file)
+
+    if enrollment_success:
+        print("Speaker enrollment test passed.")
+    else:
+        print("Speaker enrollment test failed.")
+        
+    # Step 3: Verify file management system
+    file_manager = speaker_enrollment.file_manager
+
+    # List all stored files
+    all_files = file_manager.list_all_files()
+    print("\nStored Files Metadata:")
+    for file_metadata in all_files:
+        print(file_metadata)
+    
+    # Step 4: Test speaker recognition
+    test_wav_file ="/home/gena/PROJECTS/voice-recognition-engine/audio_files/maria_recognize.wav"
+    speaker_name = "maria_speaker"
+    recognized_speaker = speaker_enrollment.recognize_speaker(test_wav_file)
+    
+    if recognized_speaker == speaker_name:
+        print("Speaker recognition test passed.")
+    else:
+        print(f"Speaker recognition test failed. Expected: {speaker_name}, but got: {recognized_speaker}")
+
+if __name__ == "__main__":
+    test_speaker_enrollment()