spam_dect.py

# This code is made by MRayan Asim
# pip install pandas
# pip install numpy
# pip install scikit-learn
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import MultinomialNB

data = pd.read_csv(
    "https://raw.githubusercontent.com/amankharwal/SMS-Spam-Detection/master/spam.csv",
    encoding="latin-1",
)
data.head()
data = data[["class", "message"]]
x = np.array(data["message"])
y = np.array(data["class"])
cv = CountVectorizer()
X = cv.fit_transform(x)  # Fit the Data
X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.33, random_state=42
)

clf = MultinomialNB()
clf.fit(X_train, y_train)
sample = input("Enter a message:")
data = cv.transform([sample]).toarray()
print(clf.predict(data))