Skip to main content

Experimental libraries for conversational analysis with llms.

Project description

Conversational analysis based on communication with the OpenAI API (regardless of the API Base)

Implementation of several methods for communication with the OpenAI API, embedding-based retrieval and data preparation

Getting Started

Can be installed directly with pip (a setup.py file is provided, if needed).

Notably the module contains the ChatGPTMemory class, which enables communication with the OpenAI API (through the ChatCompletion endpoint) while managing conversation memory.

Data preparation modules

This project was not originally intended for production. A lot of the scripts contained here are mainly for data preparation (to demonstrate different use cases). However, some functions are being used by both the qualtop-llmapi and the QOPA-LLM demo sides of the project.

In the future, this module should be replaced by a communication module. Also, any existent calculation functions should be passed to the server.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qualtop-conversational-analysis-0.30.tar.gz (16.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qualtop_conversational_analysis-0.30-py3-none-any.whl (16.9 MB view details)

Uploaded Python 3

File details

Details for the file qualtop-conversational-analysis-0.30.tar.gz.

File metadata

File hashes

Hashes for qualtop-conversational-analysis-0.30.tar.gz
Algorithm Hash digest
SHA256 6cabe0e346e095e0ddf53eceb05be0a1800d79247f0dc20889bb109e2746a647
MD5 5d482f92d8c4884e227b1291d646306b
BLAKE2b-256 78b343838bcdb9d39b408c5b77b2c7fd7ec432dcdabfcc567c36f28dd743f477

See more details on using hashes here.

File details

Details for the file qualtop_conversational_analysis-0.30-py3-none-any.whl.

File metadata

File hashes

Hashes for qualtop_conversational_analysis-0.30-py3-none-any.whl
Algorithm Hash digest
SHA256 2198a3886c628d645915d0f55c915c9293282ff25431a1fb541846e686735b81
MD5 fb6e5c226ae277a400fe3e889244383d
BLAKE2b-256 821285d1495211801a075ec45b54c8fdbd128778e795296a07ec74a8999de8ad

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page