import gradio as gr
from transformers import pipeline

# Load the fine-tuned model from Hugging Face Hub
classifier = pipeline("text-classification", model="Emanai/my-finetuned-bert2")

def classify_text(text):
    result=classifier(text)
    return '{} - {}'.format(result[0]['score'], result[0]['label'])

# Create a simple Gradio interface
iface = gr.Interface(fn=classify_text, inputs="text", outputs="label")

# Launch the Gradio app
iface.launch()