Add application file

app.py

@@ -1,7 +1,19 @@
+# import gradio as gr
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+# demo.launch()
+
 import gradio as gr
+from transformers import pipeline
+
+# Load model from Hugging Face Hub
+classifier = pipeline("text-classification", model="Mhammad2023/bert-finetuned-ner")
 
-def greet(name):
-    return "Hello " + name + "!!"
+def predict(text):
+    result = classifier(text)[0]
+    return f"{result['label']} ({round(result['score']*100, 2)}%)"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+gr.Interface(fn=predict, inputs="text", outputs="text", title="Text Classification").launch()