| import gradio as gr | |
| from datasets import load_dataset | |
| # Load datasets | |
| ds1 = load_dataset("b-mc2/sql-create-context") | |
| ds2 = load_dataset("TuneIt/o1-python") | |
| ds3 = load_dataset("HuggingFaceFW/fineweb-2", "aai_Latn") | |
| ds4 = load_dataset("HuggingFaceFW/fineweb-2", "aai_Latn_removed") | |
| ds5 = load_dataset("HuggingFaceFW/fineweb-2", "aak_Latn") | |
| ds6 = load_dataset("sentence-transformers/embedding-training-data") | |
| # Load the model and create a Gradio interface | |
| demo = gr.load("huggingface/distilbert-base-uncased") | |
| # Launch the Gradio app | |
| demo.launch() | |