Create app.py

app.py

@@ -0,0 +1,18 @@
+import streamlit as st
+from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer
+
+# Load model and tokenizer
+model_name = "dbmdz/bert-large-cased-finetuned-conll03-english"
+model = AutoModelForTokenClassification.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Define pipeline for named entity recognition
+ner = pipeline('ner', model=model, tokenizer=tokenizer)
+
+# Create a Streamlit app
+st.title("Named Entity Recognition with Hugging Face and Streamlit")
+text = st.text_input("Enter text:")
+if text:
+    result = ner(text)
+    for item in result:
+        st.write(f"{item['entity']} ({item['score']:.2f}): {item['word']}")