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Streamlit OpenAI Embedding Connection

Releases

Streamlit App

Example app using Streamlit Connections to query OpenAI's ada-002 embedding model.

Results from these queries can be used to perform semantic similarity searches either locally or in a vector database.

Sample usage:

pip install st-openai-embeddings-connection

streamlit.py:

import streamlit as st
from st_openai_embeddings_connection import OpenAIEmbeddingsConnection

conn = st.experimental_connection(
    "openai_embeddings", type=OpenAIEmbeddingsConnection
)
text_to_embed = st.text_input(
    "Text To Embed", "Puppies are good"
)

if st.button("embed"):
    result = conn.query(text_to_embed)
    result

Metadata

Release files for st-openai-embeddings-connection 0.1.1

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Source distribution for st-openai-embeddings-connection 0.1.1
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st_openai_embeddings_connection-0.1.1-py3-none-any.whl Python 3 none any Details

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