Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+import joblib
+
+# Load model + vectorizer
+model = joblib.load("clickbait_detector.pkl")
+vectorizer = joblib.load("tfidf_vectorizer.pkl")
+
+def predict_headline(headline):
+    pred = model.predict(vectorizer.transform([headline]))[0]
+    return pred
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=predict_headline,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a headline..."),
+    outputs="text",
+    title="📰 Clickbait Detector",
+    description="Classifies headlines as clickbait or real news."
+)
+
+iface.launch()