Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the NER pipeline
+ner_pipeline = pipeline("ner", model="dslim/bert-base-NER", grouped_entities=True)
+
+# Define the prediction function
+def recognize_entities(text):
+    results = ner_pipeline(text)
+    return str(results)
+
+# Gradio UI
+iface = gr.Interface(fn=recognize_entities, 
+                     inputs=gr.Textbox(lines=5, placeholder="Enter your text here..."),
+                     outputs="text",
+                     title="Named Entity Recognition (NER)",
+                     description="Using dslim/bert-base-NER model to identify named entities in text.")
+
+# Launch
+iface.launch()