Create app.py

app.py

@@ -0,0 +1,14 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the custom model and tokenizer
+pipe = pipeline("sentiment-analysis", model="rickxzo/review-sentiment-analysis", tokenizer="rickxzo/review-sentiment-analysis")
+
+# Streamlit UI
+st.title("Sentiment Analysis with Transformer Model")
+text = st.text_area("Enter some text:")
+
+# Perform sentiment analysis when text is provided
+if text:
+    out = pipe(text)
+    st.json(out)