| import gradio as gr | |
| from sentence_transformers import SentenceTransformer | |
| model = SentenceTransformer("all-MiniLM-L6-v2") | |
| def embed(text): | |
| embedding = model.encode(text).tolist() | |
| return embedding | |
| iface = gr.Interface(fn=embed, inputs="text", outputs="json") | |
| iface.launch() | |