File size: 1,184 Bytes
66b171e 76c523b 7b0adee 66b171e 7b0adee 66b171e 7b0adee 66b171e 04d7dbb a71c95f 04d7dbb a71c95f 04d7dbb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | ---
title: KaggleX Learning Path Index Chatbot (Demo)
emoji: 💻
colorFrom: pink
colorTo: purple
sdk: streamlit
sdk_version: 1.21.0
app_file: app.py
pinned: false
---
Check out the deployed demo version at https://huggingface.co/spaces/Entz/llm_5
This repository is the prototype in A prototype written in Python to illustrate/demonstrate querying a tiny dataset extracted from the Learning Path Index Dataset (see [Kaggle Dataset](https://www.kaggle.com/datasets/neomatrix369/learning-path-index-dataset )
The dataset is stored in the folder named chroma, and can be found in the same directory.
## Pre-requisites
- Python 3.9.x or above
- OpenAI API Key
- Install dependencies from `requirements.txt`
- Basic Command-line experience
- Basic git and GitHub experience
## Known issue
- The AI can't do simple counting well. e.g. there are 3 courses in the dataset, but AI always returns 4 when its being asked how many courses in the database.
- The AI can't interpret course fee correctly when the fee is zero. Perhaps this can be fixed in prompt engineering.
- To get better accuracy in AI's interpretation on the dataset, further cleaning has to be done on the dataset.
|