Streamlit OpenAI Embedding Connection

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

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for st-openai-embeddings-connection 0.1.1
File	Size	Uploaded	Provenance	Actions
st-openai-embeddings-connection-0.1.1.tar.gz	7.2 kB	Aug 3, 2023	Without provenance	Details for st-openai-embeddings-connection-0.1.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for st-openai-embeddings-connection 0.1.1
File	Interpreter	ABI	Platform	Actions Reset
st_openai_embeddings_connection-0.1.1-py3-none-any.whl 8.0 kB Aug 3, 2023 Without provenance	Python 3	none	any	Details for st_openai_embeddings_connection-0.1.1-py3-none-any.whl

Total release size: 15.2 kB

Release files / st-openai-embeddings-connection-0.1.1.tar.gz

Download URL	st-openai-embeddings-connection-0.1.1.tar.gz
Size	7.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`d769a723f29d02da498635eec142fa5936cadda309c82ca16597f2ba35048935`
BLAKE2b-256 checksum How to use checksums	`c3917ab18209ed11f8052a7bffa8d44fd48db553ab8049477f54dd41277aa43b`
Upload date	Aug 3, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.3`

Release files / st_openai_embeddings_connection-0.1.1-py3-none-any.whl

Download URL	st_openai_embeddings_connection-0.1.1-py3-none-any.whl
Size	8.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`3ea38c595e0771f8c431340cb9f29b2f89a219a0152dd22a7ad02dbb6e4a116c`
BLAKE2b-256 checksum How to use checksums	`6d0d3d30432d64d1b12fd6b863485bfced2b2b4d37effb8dc75aa0e3b5d6f67a`
Upload date	Aug 3, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.3`

Security for st-openai-embeddings-connection 0.1.1

Report project as malware

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.