app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

# Load your model from your Hugging Face repo
model = AutoModelForSequenceClassification.from_pretrained("hshkoukani/bolt")
tokenizer = AutoTokenizer.from_pretrained("hshkoukani/bolt")

clf = pipeline("text-classification", model=model, tokenizer=tokenizer)

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

demo = gr.Interface(fn=classify, inputs="text", outputs="text", title="Bolt Classifier")

demo.launch()