Update app.py

app.py

@@ -3,14 +3,14 @@ import pickle
 #from PIL import Image
 
 def predict_sentiment(sentence):
-sentimate_model = pickle.load(open("model (1).pkl", 'rb'))
-import tensorflow as tf
-pred_prob = sentimate_model.predict([sentence])
-pred_label = tf.squeeze(tf.round(pred_prob)).numpy()
-if pred_label > 0:
-return 'Positive'
-else:
-return 'Negative'
+    sentimate_model = pickle.load(open("model (1).pkl", 'rb'))
+    import tensorflow as tf
+    pred_prob = sentimate_model.predict([sentence])
+    pred_label = tf.squeeze(tf.round(pred_prob)).numpy()
+    if pred_label > 0:
+        return 'Positive'
+    else:
+        return 'Negative'
 
 gr.Interface(predict_sentiment, inputs=gr.inputs.Textbox(lines=1, label='Enter your Review')).launch()