Update app.py

app.py

@@ -1,22 +1,16 @@
 import gradio as gr
 import joblib
 
-# Load model & vectorizer
-model = joblib.load("sentiment_model.joblib")
+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
+    return "Positive ✅" if prediction == 1 else "Negative ❌"
 
-iface = gr.Interface(
+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()
+    inputs="text",
+    outputs="text"
+).launch()