Update app.py

app.py

@@ -1,10 +1,11 @@
 import streamlit as st
 from transformers import pipeline
 
-model_path = "citizenlab/twitter-xlm-roberta-base-sentiment-finetuned"
+model_path = "citizenlab/twitter-xlm-roberta-base-sentiment-finetunned"
 
 st.set_page_config(page_title="Sentiment Analysis App")
 
+
 sentiment_classifier = pipeline("text-classification", model=model_path, tokenizer=model_path)
 
 st.title("Sentiment Analysis App")
@@ -19,4 +20,8 @@ if st.button("Analyze Sentiment"):
         sentiment_score = results[0]["score"]
 
         st.write(f"Sentiment: {sentiment_label}")
-        st.write(f"Confidence Score: {sentiment_score:.2f}")  # Display the confidence score
+        st.write(f"Confidence Score: {sentiment_score:.2f}")
+
+# Run the Streamlit app
+if _name_ == "_main_":
+    st.write("Enter a message and click 'Analyze Sentiment' to classify its sentiment.")