Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Initialize Hugging Face NER pipeline
+ner_pipeline = pipeline("ner", model="HooshvareLab/bert-fa-base-uncased", aggregation_strategy="simple")
+
+def split_name(full_name):
+    entities = ner_pipeline(full_name)
+    prefix = ""
+    first_name = ""
+    last_name = ""
+    for entity in entities:
+        label = entity['entity_group']
+        word = entity['word']
+        if label.lower() == 'prefix':
+            prefix += word + " "
+        elif label.lower() == 'firstname':
+            first_name += word + " "
+        elif label.lower() == 'lastname':
+            last_name += word + " "
+    return prefix.strip(), first_name.strip(), last_name.strip()
+
+# Gradio interface
+demo = gr.Interface(
+    fn=split_name,
+    inputs=gr.Textbox(label="Full Name (Persian)", placeholder="Enter your full name"),
+    outputs=[
+        gr.Textbox(label="Prefix"),
+        gr.Textbox(label="First Name"),
+        gr.Textbox(label="Last Name"),
+    ],
+)
+
+demo.launch()