Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load pre-trained model and tokenizer from Hugging Face
+model_name = "google-bert/bert-base-uncased"
+pipe = pipeline("text-classification", model=model_name)
+
+# Streamlit app
+st.title("BERT Text Classification")
+
+input_text = st.text_area("Enter text to classify")
+
+if st.button("Classify"):
+    if input_text:
+        # Perform classification
+        result = pipe(input_text)
+        
+        st.write(f"Predicted Class: {result[0]['label']}")
+        st.write(f"Confidence: {result[0]['score']:.4f}")
+    else:
+        st.write("Please enter some text to classify.")