Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+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'
+
+gr.Interface(predict_sentiment, inputs=gr.inputs.Textbox(lines=1, label='Enter your Review')).launch()
+
+
+