# Import the necessary libraries
import tensorflow as tf
import torch
# Define the neural network model
def create_model():
# Define the model architecture using TensorFlow
model = tf.keras.Sequential([
# Add your layers here
])
# Compile the model
model.compile(optimizer='adam',
loss='binary_crossentropy',
metrics=['accuracy'])
# Return the model
return model
# Train the model
def train_model(model, train_data, validation_data, epochs):
# Train the model using TensorFlow
history = model.fit(train_data, epochs=epochs,
validation_data=validation_data)
# Save the model weights
model.save_weights('model_weights.h5')
# Return the history
return history
# Generate the NSFW content
def generate_nsfw_content(model, input_data):
# Load the model weights
model.load_weights('model_weights.h5')
# Generate the NSFW content using PyTorch
output_data = torch.Tensor(input_data)
output_data = model(output_data)
output_data = output_data.detach().numpy()
# Return the NSFW content
return output_data
My static Space
Welcome to your static Space!
You can modify this app directly by editing index.html in the Files and versions tab.