pull

app.py

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+import streamlit as st
+from transformers import pipeline
+
+pipe = pipeline(task="text-classification",model="yartyjung/Fake-Review-Detector")
+
+st.title("Review-Detector")
+text = st.text_input("your :red[suspicious] review here :sunglasses:",value="")
+
+if text is not None:
+    predictions = pipe(text)
+    st.text(predictions)
+    if predictions[0]['label'] == 'fake':
+        for p in predictions:
+            st.subheader(f":red[FAKE] :blue[{ round(p['score'] * 100, 1)} %]")
+    elif predictions[0]['label'] == 'real':
+        for p in predictions:
+            st.subheader(f":green[REAL] :blue[{ round(p['score'] * 100, 1)} %]")
+    st.markdown(":red[***disclaimer***   This is a prediction by an _AI_, which might turn out incorrect.]")

requirements.txt

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+streamlit
+transformers