| import gradio as gr | |
| from sentence_transformers import SentenceTransformer | |
| model = SentenceTransformer("all-mpnet-base-v2") | |
| def get_embeddings(text): | |
| return model.encode(text).tolist() | |
| gr.Interface( | |
| fn=get_embedding, | |
| inputs="text", | |
| outputs="json", | |
| title="DiDef Embeddings" | |
| ).launch() |