Create app.py

app.py

@@ -0,0 +1,25 @@
+from transformers import pipeline
+import gradio as gr
+
+model_checkpoint = "MuntasirHossain/bert-finetuned-ner"
+
+model = pipeline("token-classification", model=model_checkpoint, aggregation_strategy="simple")
+
+
+def predict(prompt):
+    completion = model(prompt)
+    return completion
+
+description = "This AI model is trained to identify and classify named entities in unstructured text." 
+title = "Named Entity Recognition"
+theme = "grass"
+examples=[["Mount Everest is Earth's highest mountain, located in the Mahalangur Himal sub-range of the Himalayas. The China-Nepal border runs across it."]]
+
+gr.Interface(fn=predict,
+    inputs="textbox",
+    outputs="text",
+    title=title,
+    theme = theme,
+    description=description,
+    examples=examples,
+).launch()