Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer
+
+# Explicitly specify the sentiment analysis model
+model_name = "nlptown/bert-base-multilingual-uncased-sentiment"
+classifier = pipeline("sentiment-analysis", model=model_name)
+
+# Streamlit app
+def main():
+    st.title("Sentiment Analysis App")
+    user_input = st.text_area("Enter your text:")
+    
+    if st.button("Analyze"):
+        if user_input:
+            # Make prediction
+            prediction = classifier(user_input)
+            st.write("Prediction:", prediction[0]["label"], "with confidence:", prediction[0]["score"])
+        else:
+            st.warning("Please enter some text.")
+
+if __name__ == "__main__":
+    main()