import gradio as gr title = "Disaster tweets classification" description = "Text classification using DistilBERT fine-tuned on the Kaggle disaster tweets dataset" examples = [["Twelve feared killed in an air ambulance helicopter crash"], ["It's an apocalypse"], ["I love my new Tesla!"], ["Wow social media really blew up after the Adele concert"], ["Are you OK?"]] interface = gr.Interface.load("huggingface/hkayesh/twitter-disaster-nlp", description=description, examples=examples, theme="peach" ) interface.launch()