app.py

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

model_name = "yazied49/disabilityy_model_final"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
pipe = pipeline("text-classification", model=model, tokenizer=tokenizer)

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

gr.Interface(fn=classify, inputs="text", outputs="text", title="Disability Classifier").launch()