adds model inference script

app.py

@@ -0,0 +1,31 @@
+from transformers import pipeline
+import gradio as gr
+
+#reference appropriate Hugging Face model
+model_name = 'koakande/bert-finetuned-ner'
+
+# Load token classification pipeline modelfrom Hugging Face
+model = pipeline("token-classification", model=model_name, aggregation_strategy="simple")
+
+# write a prediction method for the model
+def predict_entities(text):
+    # Use the loaded model to identify entities in the text
+    entities = model(text)
+    # Highlight identified entities in the input text
+    highlighted_text = text
+    for entity in entities:
+        entity_text = text[entity['start']:entity['end']]
+        replacement = f"<span style='border: 2px solid green;'>{entity_text}</span>"
+        highlighted_text = highlighted_text.replace(entity_text, replacement)
+    return highlighted_text
+
+# gradio interface
+iface = gr.Interface(
+    fn=predict_entities,
+    inputs=gr.Textbox(lines=5, placeholder="Enter text..."),
+    outputs=gr.HTML(),
+    title="Named Entity Identification",
+    description="Enter text to identify entities using the model.",
+)
+
+iface.launch()