Update README.md

README.md

@@ -45,6 +45,11 @@ print(f"Sentiment Scores: {sentiment_score}")
 
 ```
 
+## Using Keras
+
+Download DistilSentiNet-42M.keras https://huggingface.co/Ravinthiran/Distilsenti-Net-42M/blob/main/DistilSentiNet-42M.keras
+
+
 ## Using HDFS (H5)
 
 Download DistilSentiNet-42M.h5 here: https://huggingface.co/Ravinthiran/DistilSenti-Net42M/blob/main/DistilSentiNet-42M.h5
@@ -61,7 +66,7 @@ from tensorflow.keras.preprocessing.sequence import pad_sequences
 from tensorflow.keras.models import load_model
 
 # Load the saved Keras model
-model_hybrid = load_model('< DistilSentiNet-42M.h5 File Path >')
+model_hybrid = load_model('< DistilSentiNet-42M.h5 File Path > or < DistilSentiNet-42M.keras File Path >')
 
 # Sample data
 df = pd.read_csv("./train.csv")
@@ -100,3 +105,8 @@ new_text = "I recently started a new fitness program at a local wellness center,
 predicted_sentiment, sentiment_score = predict_sentiment(new_text, tokenizer, model_hybrid)
 
 print(f"The sentiment of the input text is: {predicted_sentiment} with scores {sentiment_score}")
+
+```
+
+sample text = `I visited the new bookstore downtown yesterday. It has a variety of books across different genres. The layout is organized, and the staff is present if you need assistance. The store has a café section where you can sit and read. It's a quiet place, ideal for spending a few hours. Overall, it's a standard bookstore that offers the expected services without any notable highlights or drawbacks.`
+The sentiment of the input text is: negative with scores [0.9463438  0.04554183 0.00811444]