Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from joblib import load
+
+# Load the vectorizer and model
+vectorizer = load('tfidf_vectorizer.pkl')
+model = load('fake_review_detector.pkl')
+
+# Prediction function
+def predict_review(review):
+    # Transform the input text into TF-IDF
+    review_tfidf = vectorizer.transform([review])
+    # Make a prediction
+    prediction = model.predict(review_tfidf)[0]
+    # Return the result
+    return "THIS IS NOT FAKE" if prediction == 0 else "THIS IS FAKE"
+
+# Gradio interface
+interface = gr.Interface(
+    fn=predict_review,
+    inputs="text",
+    outputs="text",
+    title="Fake Review Detector",
+    description="Type a review below to determine if it is fake or not."
+)
+
+# Launch the interface
+interface.launch()