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Ella - A Customized Chat Bot

Ella is a chat bot designed to operate with a custom dataset, tailored for specific requirements. This README provides an overview of Ella, its features, how to set it up, and guidelines for using a custom dataset.

Features

• Customization: Ella is highly customizable, allowing users to fine-tune its behavior based on specific needs and preferences.

• Natural Language Understanding: Ella is designed to understand and respond to natural language queries effectively.

• Ease of Integration: Integration with a custom dataset is straightforward, enabling users to train Ella on domain-specific knowledge.

Setup

Prerequisites

• Python 3.x
• Dependencies listed in requirements.txt

Installation

1. Clone this repository:

   git clone https://github.com/your-username/ella-custom-chat-bot.git

2. Navigate to the project directory:

   cd ella-custom-chat-bot

3. Install dependencies:

   pip install -r requirements.txt

4. Configure the custom dataset:

   • Replace the placeholder data in custom_dataset.json with your own dataset.

Usage

1. Run the bot:

   python ella_bot.py

2. Interact with Ella by providing natural language queries.

3. Observe and analyze the responses. Fine-tune the model as needed based on the feedback.

Custom Dataset

Ella's performance heavily relies on the quality of the custom dataset. Ensure that the dataset is formatted correctly with a clear structure:

• Input: User queries or statements in natural language.

• Output: Corresponding responses or actions.

Dataset Format

[
  {"input": "How does X work?", "output": "X works by..."},
  {"input": "Tell me about Y.", "output": "Y is..."},
  ...
]

Training

To retrain Ella on an updated dataset, run:

python train_ella.py --dataset custom_dataset.json

Contributions and Issues

Feel free to contribute to the development of Ella by submitting pull requests. If you encounter any issues or have suggestions, please open an issue on the repository.

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