import joblib

# To be translated
sample_text = "Implement a login page with form validation using React.js."

# Loads the model, vectorizer, and encoder
model_filename = "svm_model.sav"
svm_model = joblib.load(model_filename)

vectorizer_filename = 'fitted_vectorizer.joblib'
word_vectorizer = joblib.load(vectorizer_filename)

encoder_filename = 'fitted_encoder.joblib'
encoder = joblib.load(encoder_filename)

# Vectorize 
vectorized_text = word_vectorizer.transform([sample_text])   

binary_predictions = svm_model.predict(vectorized_text)

decision_function_scores = svm_model.decision_function(vectorized_text)

# Get the top 3 predicted labels based on highest decision function scores
top_4_indices = decision_function_scores.argsort()[0][-3:][::-1]

top_4_labels = encoder.inverse_transform(top_4_indices)

print("Top 3 predicted labels:", top_4_labels)