Initial commit

Author: Your Name

.gitignore

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+screenshot.png
+models

nlp.py

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+import streamlit as st
+import tensorflow as tf
+
+st.markdown('## 🎡🏰🚝🎠🪧🎈✨🍬🎆🎇🎪')
+st.title('Disneyland Reviews Classification')
+
+model_1 = tf.keras.models.load_model('model_1')
+sentiment = {0: 'negative', 1: 'positive'}
+
+review = st.text_area('Enter a review of your experience at Disneyland', height=350)
+
+if st.button('Submit'):
+    pred_prob = tf.squeeze(model_1.predict([review]))
+    pred = tf.round(pred_prob)
+    st.markdown(f"The review is {tf.cast(pred_prob*100, tf.uint8)}% **{sentiment[int(pred)]}**")
+    #print(f"pred {int(pred)}, prob {pred_prob}")

requirements.txt

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+streamlit==1.3.1
+tensorflow==2.5.0