Upload 3 files

app.py

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+from engine import SentimentAnalyzer
+import streamlit as st
+
+setiment_analysis = SentimentAnalyzer()
+
+st.title("User Sentiment Analysis")
+
+sentence = st.text_input("Enter a sentence:")
+
+if sentence: 
+    label = setiment_analysis.get_sentiment(sentence)
+
+    st.write(f"Sentiment analysis result: {label}")
+

engine.py

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+from transformers import pipeline
+
+class SentimentAnalyzer:
+    def __init__(self) -> None: 
+        self.analyzer = pipeline("sentiment-analysis", model = "distilbert-base-uncased-finetuned-sst-2-english")
+    
+    def score_sentiment(self, sentence: str) -> float:
+        return self.analyzer(sentence)[0]
+    
+    def get_sentiment(self, sentence: str) -> str: 
+        sentiment_score = self.score_sentiment(sentence)
+        return sentiment_score['label']
+    
+if __name__ == "__main__":
+    sentence = "This place is good"
+    sentiment_analyzer = SentimentAnalyzer()
+    print(sentiment_analyzer.get_sentiment(sentence))
+
+    
+