app.py

# 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", from_tf=True)

def predict(text):
    result = classifier(text)[0]
    return f"{result['label']} ({round(result['score']*100, 2)}%)"

gr.Interface(fn=predict, inputs="text", outputs="text", title="Text Classification").launch()