import gradio as gr | |
from langchain.embeddings import HuggingFaceEmbeddings | |
embeddings = HuggingFaceEmbeddings(model_name='paraphrase-multilingual-MiniLM-L12-v2') | |
def embedd(query): | |
return embeddings.embed_query(query) | |
demo = gr.Interface(fn=embedd, inputs="text", outputs="json") | |
demo.launch() |