Create app.py

app.py

@@ -0,0 +1,25 @@
+import streamlit as st
+from transformers import pipeline
+
+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")
+
+user_input = st.text_area("Enter a message:")
+
+if st.button("Analyze Sentiment"):
+    if user_input:
+        # Perform sentiment analysis
+        results = sentiment_classifier(user_input)
+        sentiment_label = results[0]["label"]
+        sentiment_score = results[0]["score"]
+
+        st.write(f"Sentiment: {sentiment_label}")
+        st.write(f"Confidence Score: {sentiment_score:.2f}")
+
+# Run the Streamlit app