model

import gradio as gr
import skops.io as sio

pipe = sio.load("./Model/drug_pipeline.skops", trusted=True)


def predict_drug():
    predicted_drug = pipe.score()

   
    return predicted_drug


outputs = [gr.Label(num_top_classes=5)]



title = "Drug Classification"
description = "Enter the details to correctly identify Drug type?"
article = "This app is a part of the Beginner's Guide to CI/CD for Machine Learning. It teaches how to automate training, evaluation, and deployment of models to Hugging Face using GitHub Actions."


gr.Interface(
    fn=predict_drug,
    outputs=outputs,
    title=title,
    description=description,
    article=article,
    theme=gr.themes.Soft(),
).launch()