Chat-Bot-AI

Future updates to enhance functionality and features.

Table of Contents

1. Introduction
2. File Procedure
3. JSON File
4. Installation Instructions
5. API Key Setup

Introduction

Welcome to the Chat-Bot-AI project! This is a simple chatbot that’s currently in development. After spending some time troubleshooting and coding, the basic version is ready for interaction. Over the coming days, I will be adding more advanced features, including:

• Natural Language Processing (NLP): To improve the bot’s understanding of user inputs.
• Sentiment Analysis: Enabling the bot to detect emotions and provide appropriate responses.
• Machine Learning: For continuous improvement as the bot learns from interactions.
• Context-Awareness: To make conversations more coherent.
• Speech Recognition: To add a voice-based interface.

Stay tuned for updates, and enjoy chatting with your very own bot!

File Procedure

To run the chatbot project, ensure you have the following files:

1. JSON File: Contains patterns and responses that the bot uses to generate replies.
2. Training.py: A script used to train the bot and save the trained model.
3. CB1.py: The main chatbot application that loads the trained model, processes user input, and returns a response.

Key Points:

• Always run training.py first to train the bot before usage.
• After running training.py, new files will be generated. Do not modify these, as they are essential for CB1.py to function properly.
• Run CB1.py to start interacting with the chatbot.

JSON File

The JSON file defines the intents that the bot can handle. Each intent includes:

1. Tag: A unique identifier for the intent.
2. Patterns: A list of phrases the bot will recognize as belonging to this intent.
3. Responses: A list of possible replies the bot can give for this intent.
4. Context: This field is used to track the conversation state and influence future responses.

The chatbot uses this data to match user input to intents and generate relevant replies.

Installation Instructions

Before you start, ensure that Python is installed on your system. Follow the steps below to set up the necessary dependencies:

1. Install Dependencies

If pip is not installed, you can download it from here.

Installing NLTK

To install NLTK (Natural Language Toolkit), follow the steps below based on your system:

1. Windows and Mac:

   pip install nltk  # or pip3 install nltk if using Python 3

2. Linux:

   sudo pip install -U nltk  # or sudo pip3 install -U nltk if using Python 3

3. Anaconda:

   conda install -c anaconda nltk

Installing Keras

To install Keras, follow these instructions depending on your operating system:

1. Windows and Mac:

   pip install keras  # or pip3 install keras if using Python 3

2. Linux:

   pip3 install keras

3. Anaconda:

   conda install -c anaconda keras

API Keys

An API key is required to access the weather information needed for the chatbot.

Creating API Keys

Follow these steps to generate your API key from OpenWeatherMap:

1. Go to the OpenWeatherMap website.
2. Sign up for an account or log in if you already have one.
3. Once logged in, click on your username in the top-right corner of the page.
4. Click My API Keys.
5. You will see your default API key, or you can generate a new one by clicking Generate.
6. Name your new API key as weather.
7. Copy the API key that is generated.
8. Paste the API key into the CB1.py file where required.

Bonus:

Having trouble? Feel free to report issues under the Issues section of the repository, and I’ll be happy to assist!