import pandas as pd
import joblib
from sklearn.metrics import classification_report
from evaluation.metrics import calculate_metrics

vectorizer = joblib.load("models/tfidf_vectorizer.pkl")
model = joblib.load("models/logistic_model.pkl")

data = pd.read_csv("evaluation/sample_data.csv")

X = vectorizer.transform(data["text"].astype(str))
y_true = data["label"]

y_pred = model.predict(X)

metrics = calculate_metrics(y_true, y_pred)

print("Metrics:", metrics)
print("\nClassification Report:")
print(classification_report(y_true, y_pred))