Update svm.py

svm.py

@@ -1,5 +1,13 @@
 
 from sklearn.svm import SVC
+import joblib
+from sklearn.metrics import accuracy_score, classification_report
+
+X_train_tfidf = joblib.load('X_train_tfidf.pkl')
+X_test_tfidf = joblib.load('X_test_tfidf.pkl')
+y_train = joblib.load('y_train.pkl')
+y_test = joblib.load('y_test.pkl')
+
 svm_model = SVC(kernel='linear', random_state=42)
 svm_model.fit(X_train_tfidf, y_train)
 y_pred = svm_model.predict(X_test_tfidf)