diff --git a/requirements.txt b/requirements.txt
index 444b281..8769b45 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,8 +1,7 @@
-numpy==1.21.0
-torch==1.9.0
-torchvision==0.10.0
-scikit-learn==0.24.2
-pillow==8.2.0
-matplotlib==3.4.2
-scipy==1.7.0
-tqdm==4.61.1
\ No newline at end of file
+numpy>=1.21.0,<1.24.0
+torch>=1.12.0,<1.13.0
+torchvision>=0.13.0,<0.14.0
+scikit-learn>=1.0.0,<1.6.0
+pillow>=8.0.0,<10.4.0
+matplotlib>=3.4.0,<3.5.0
+scipy>=1.6.0,<1.8.0
diff --git a/src/feature_extractor.py b/src/feature_extractor.py
index 0147d23..a2d3b54 100644
--- a/src/feature_extractor.py
+++ b/src/feature_extractor.py
@@ -6,19 +6,15 @@ def __init__(self, k=32):
         self.k = k
 
     def extract_features(self, lnp):
-        # Existing feature extraction
         amplitude_spectrum = torch.abs(torch.fft.fft2(lnp))
+
         enhanced_spectrum = self._enhance_spectrum(amplitude_spectrum)
-        sampled_features = self._sample_features(enhanced_spectrum)
-        
-        # New features
+        sampled_features = self._sample_features(enhanced_spectrum) 
         gradient_features = self._gradient_features(lnp)
         noise_features = self._noise_features(lnp)
         
-        # Combine all features
         all_features = torch.cat([sampled_features, gradient_features, noise_features])
         
-        # Normalize
         return (all_features - all_features.mean()) / (all_features.std() + 1e-8)
 
     def _enhance_spectrum(self, spectrum):