| import gradio as gr | |
| import json | |
| from sentence_transformers import SentenceTransformer | |
| model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2') | |
| def give_embeddings(sentence): | |
| return json.dumps(model.encode([sentence])[0].tolist()) | |
| demo = gr.Interface(fn=give_embeddings, inputs="text", outputs="text") | |
| demo.launch() |