Update app.py

app.py

@@ -1,22 +1,22 @@
-import gradio as gr
-import joblib
-
-# Load model & vectorizer
-model = joblib.load("model.joblib")
-tfidf = joblib.load("tfidf_vectorizer.joblib")
-
-def predict_sentiment(text):
-    vector = tfidf.transform([text])
-    prediction = model.predict(vector)[0]
-    label = "✅ Positive" if prediction == 1 else "❌ Negative"
-    return label
-
-iface = gr.Interface(
-    fn=predict_sentiment,
-    inputs=gr.Textbox(label="Enter a Review"),
-    outputs=gr.Textbox(label="Sentiment"),
-    title="XGBoost Sentiment Classifier",
-    description="Real-time sentiment analysis using TF-IDF + XGBoost."
-)
-
-iface.launch()
+import gradio as gr
+import joblib
+
+# Load model & vectorizer
+model = joblib.load("sentiment_model.joblib")
+tfidf = joblib.load("tfidf_vectorizer.joblib")
+
+def predict_sentiment(text):
+    vector = tfidf.transform([text])
+    prediction = model.predict(vector)[0]
+    label = "✅ Positive" if prediction == 1 else "❌ Negative"
+    return label
+
+iface = gr.Interface(
+    fn=predict_sentiment,
+    inputs=gr.Textbox(label="Enter a Review"),
+    outputs=gr.Textbox(label="Sentiment"),
+    title="XGBoost Sentiment Classifier",
+    description="Real-time sentiment analysis using TF-IDF + XGBoost."
+)
+
+iface.launch()