# lukalabs/cakechat

CakeChat: Emotional Generative Dialog System

Repository: https://github.com/lukalabs/cakechat
Canonical: https://ross.abutalabs.com/products/cakechat
Language: Python
License: Apache-2.0
License Family: permissive
Topics: conversational-ai, conversational-agents, conversational-bots, dialogue-agents, dialogue-systems, dialog-systems, nlp, deep-learning, seq2seq, seq2seq-chatbot, seq2seq-model, keras, tensorflow
Archived: true
Last push: 2020-05-25T12:05:56+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3137, "days_push": 2291, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1707, forks 911 (observed 2026-08-28T04:05:25.079089+00:00)

## What it is
CakeChat is a Python backend for building emotional generative chatbots using a hierarchical recurrent encoder-decoder (seq2seq) architecture built on Keras and TensorFlow. It supports conditioning responses on categorical variables such as emotion or persona, and ships with an HTTP server and Telegram bot integration.

## Use cases
- build a chatbot that expresses emotions in its replies
- train a seq2seq dialogue model on my own conversation data
- fine-tune a pre-trained neural conversational model
- run a Telegram bot powered by a neural dialogue system
- condition chatbot responses on a persona or other categorical variable
- serve a trained dialogue model over an HTTP API

## When to choose
- you specifically need an RNN/HRED-based emotional dialogue system in Python
- you want a self-contained chatbot backend with HTTP and Telegram integrations
- you are studying or reproducing older seq2seq conversational model research

## When to avoid
- you need a modern, maintained chatbot - the project is explicitly unmaintained
- you want state-of-the-art dialogue quality - transformer models like DialoGPT are recommended instead
- your stack requires recent TensorFlow/Keras versions - it targets TensorFlow 1.12 and Python 3.5

## Facets
- artifact type: library
- maturity: abandoned
- function: nlp, deep-learning, chatbot, machine-learning, llm-training
- domain: artificial-intelligence, chatbots, deep-learning
- platform: python
- tags: seq2seq, dialogue-system, emotional-chatbot, keras, tensorflow, hred, unmaintained, natural-language-processing, linux, docker

## Member repositories
- lukalabs/cakechat (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:25.079089+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:37:27.222604+00:00, confidence not recorded.
  - readme: https://github.com/lukalabs/cakechat (fetched 2026-08-28T04:05:25.079089+00:00, sha 50264a9438d1)
- Data as of 2026-08-30T08:39:29.467469+00:00.