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movie_review_streamlit

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petermutwiri commited on Nov 6, 2023

Commit

09172e3

1 Parent(s): 5cd38b6

Update home.py

Files changed (1) hide show

home.py CHANGED Viewed

@@ -5,7 +5,7 @@ from functions import preprocess, sentiment_analysis, map_sentiment_score_to_rat
 def render_home(model, tokenizer):
     st.title("Movie Review App")
-    st.write("Welcome to our Movie Review App powered by the state-of-the-art RoBERTa and TinyBERT models with an impressive accuracy score of 0.93 and 0.83 respectively. Get ready to dive into the world of cinema and discover the sentiments behind your favorite movies. Whether it's a thrilling 9 or a heartwarming 3, our app not only predicts the sentiment but also rates the movie on a scale of 1 to 10. Express your thoughts, press 'Analyze,' and uncover the emotional depth of your movie review")
     st.image("Assets/movie_review.png", caption="", use_column_width=True)
     # Create a list to store comments

 def render_home(model, tokenizer):
     st.title("Movie Review App")
+    st.write("Welcome to our Movie Review App powered by the state-of-the-art  TinyBERT model with an impressive accuracy score of  0.86 respectively. Get ready to dive into the world of cinema and discover the sentiments behind your favorite movies. Whether it's a thrilling 9 or a heartwarming 3, our app not only predicts the sentiment but also rates the movie on a scale of 1 to 10. Express your thoughts, press 'Analyze,' and uncover the emotional depth of your movie review")
     st.image("Assets/movie_review.png", caption="", use_column_width=True)
     # Create a list to store comments