Update requirements.txt

requirements.txt

@@ -3,23 +3,4 @@ transformers
 gradio
 huggingface_hub
 numpy
-opencv-python
-# Capa de Transformada de Fourier
-class FourierTransformLayer(Layer):
-    def call(self, inputs):
-        fourier = tf.signal.fft2d(tf.cast(inputs, tf.complex64))
-        fourier = tf.abs(fourier)
-        return tf.concat([tf.math.real(fourier), tf.math.imag(fourier)], axis=-1)
-
-    def compute_output_shape(self, input_shape):
-        return (input_shape[0], input_shape[1], input_shape[2], input_shape[3] * 2)
-
-# Capa de Transformada Inversa de Fourier
-class InverseFourierTransformLayer(Layer):
-    def call(self, inputs):
-        real_part, imag_part = tf.split(inputs, num_or_size_splits=2, axis=-1)
-        complex_fourier = tf.complex(real_part, imag_part)
-        return tf.abs(tf.signal.ifft2d(complex_fourier))
-
-    def compute_output_shape(self, input_shape):
-        return (input_shape[0], input_shape[1], input_shape[2], input_shape[3] // 2)
+opencv-python