Delete app.py

app.py

@@ -1,26 +0,0 @@
-import streamlit as st
-import tensorflow as tf
-import pickle
-
-# Model ve Vectorizer'ı yükleme
-model = tf.keras.models.load_model("xss_detection_model-3.h5")
-
-with open("vectorizer.pkl", "rb") as file:
-    vectorizer = pickle.load(file)
-
-# Streamlit başlığı
-st.title("XSS Detector")
-
-# Kullanıcı girdisi
-user_input = st.text_area("XSS payload'ınızı buraya girin", height=100)
-
-# Tespit butonu
-if st.button("Tespit Et"):
-    transformed_input = vectorizer.transform([user_input]).toarray()
-    prediction = model.predict(transformed_input)
-
-    # Sonucu ekranda gösterme
-    if prediction[0] > 0.5:
-        st.write("Bu bir XSS payload!")
-    else:
-        st.write("Bu bir XSS payload DEĞİL!")