Welcome to the Harry Potter AI-Based Chatbot repository! This project allows you to create a custom Question-Answer (QA) chatbot using your own input data. In this case, we have implemented a Harry Potter-themed chatbot, leveraging the power of natural language processing to provide an interactive and immersive experience for users.
Overview
Getting Started
Customizing the Chatbot
Usage
Example
Contributing
License
This repository contains the code for a customizable QA chatbot that has been trained on Harry Potter-related data. The chatbot is powered by natural language processing techniques, allowing it to understand and respond to user queries about the Harry Potter universe.
The following technologies and libraries were used in the development of this chatbot:
Python: Programming language used for the implementation.
Langchain: LangChain is a framework designed to simplify the creation of applications using large language models.
Chroma DB: Chroma DB is an open-source vector store used for storing and retrieving vector embeddings.
Ctransformers: The C Transformers library provides Python bindings for GGML models.
Model Used: Llama 2 is a family of pre-trained and fine-tuned large language models (LLMs) released by Meta AI in 2023. Released free of charge for research and commercial use, Llama 2 AI models are capable of a variety of natural language processing (NLP) tasks, from text generation to programming code.
To get started with the Harry Potter AI-Based Chatbot, follow these steps:
git clone https://github.com/Ginga1402/harry-potter-chatbot.git
pip install -r requirements.txt
python chatbot.py
Interact with the chatbot by entering your Harry Potter-related questions.
If you want to customize the chatbot for a different theme or use case, you can update the input data and retrain the model. Follow these steps:
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Replace the existing data in the data folder with your own dataset. Ensure that the data is in a suitable question-answer format.
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Modify the training configuration in the config.json file to match your dataset and preferences.
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Run the ingestion script to make embeddings for the chatbot:
python ingestion.py
Once the embedding is ready, you can run the chatbot again with the updated model.
The chatbot uses a simple command-line interface. Enter your questions, and the chatbot will provide relevant answers .
Here's an example interaction with the Harry Potter AI-Based Chatbot:
Contributions to this project are welcome! If you have ideas for improvements, bug fixes, or new features, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.