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--- |
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title: KaggleX Learning Path Index Chatbot (Demo) |
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emoji: 💻 |
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colorFrom: pink |
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colorTo: purple |
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sdk: streamlit |
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sdk_version: 1.21.0 |
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app_file: app.py |
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pinned: false |
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--- |
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Check out the deployed demo version at https://huggingface.co/spaces/Entz/llm_5 |
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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 ) |
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The dataset is stored in the folder named chroma, and can be found in the same directory. |
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## Pre-requisites |
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- Python 3.9.x or above |
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- OpenAI API Key |
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- Install dependencies from `requirements.txt` |
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- Basic Command-line experience |
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- Basic git and GitHub experience |
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## Known issue |
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- 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. |
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- The AI can't interpret course fee correctly when the fee is zero. Perhaps this can be fixed in prompt engineering. |
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- To get better accuracy in AI's interpretation on the dataset, further cleaning has to be done on the dataset. |
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