https://github.com/deepraj1729/tchatbot

A ChatBot framework to create customizable all purpose Chatbots using NLP, Tensorflow, Speech Recognition
https://github.com/deepraj1729/tchatbot

artificial-intelligence chatbot-framework conda deep-learning framework git github machine-learning neural-networks nlp nltk numpy pip pypi python3 sklearn speech-recognition tensorflow virtual-environment

Last synced: 10 months ago
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A ChatBot framework to create customizable all purpose Chatbots using NLP, Tensorflow, Speech Recognition

• Host: GitHub
• URL: https://github.com/deepraj1729/tchatbot
• Owner: deepraj1729
• License: mit
• Created: 2020-06-22T07:34:44.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-03-24T21:54:24.000Z (almost 3 years ago)
• Last Synced: 2025-02-16T19:39:55.907Z (11 months ago)
• Topics: artificial-intelligence, chatbot-framework, conda, deep-learning, framework, git, github, machine-learning, neural-networks, nlp, nltk, numpy, pip, pypi, python3, sklearn, speech-recognition, tensorflow, virtual-environment
• Language: Python
• Homepage: https://pypi.org/project/TChatBot
• Size: 3.01 MB
• Stars: 19
• Watchers: 4
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

          
[![TChatBot](https://img.shields.io/badge/TChatBot-v0.1.0-blue)](https://pypi.org/project/TChatBot/0.1.0/)  [![license](https://img.shields.io/badge/License-MIT-yellow)](https://github.com/deepraj1729/TChatBot/blob/master/LICENSE) [![dependencies](https://img.shields.io/badge/dependencies-packages-orange)](https://github.com/deepraj1729/TChatBot/blob/master/requirements.txt)

[![pull](https://img.shields.io/badge/pull--requests-requests-green)](https://github.com/deepraj1729/TChatBot/pulls) [![issues](https://img.shields.io/badge/issues-issues-red)](https://github.com/deepraj1729/TChatBot/issues) ![python](https://img.shields.io/badge/python-3.5%20%7C%203.6%20%7C%203.7-blue)

![logo](assets/final-logo.png)

A ChatBot framework to make customizable all purpose Chatbots using NLP, Tensorflow, Speech Recognition 

# Deployment Architecture:

![arch](assets/architecture.png)

# Updates:

### 1. Released to `pypi` with stable release.

### 2. Will be updated to `conda` soon.

# Basic Requirements: 

- RAM > 4GB (For training the model)

- Storage Space > 200MB

- GPU RAM >=4 GB (optional)

- Python >= 3.5

# Installation:

(a). Install using `pip` 

(b). Clone the repository (dev testing)

## (a) Install Using `pip`:

# Pre-Requisites:

1. An Empty folder

2. A virtual environment (using normal python or conda python)

## Setting up the Pre-Requisites:

### 1: Create an empty folder say `Demo`.

### 2: Open the folder and open terminal from that folder location.

### 3: Create Virtual Environment

- Step 1: Either Using `virtualenv` (strictly for non-conda users, optional for conda users)

- Step 2: Or Using conda (for conda users only)

## Choose any one of the above 2 steps based on conda or non-conda users

### 1. Install virtualenv using `pip` (for both non-conda and conda users)

        pip install virtualenv==20.0.14

        

### (1.a) Run the command to create virtual environment: 

        virtualenv .

### (1.b) Activate virtual environment by running the command:

        

        .\Scripts\activate

### (1.c) `(Demo)` in the left of terminal indicates that the environment is activated

### 2. Create virtual environment (for conda users only), skip if Step 1 is done: 

        conda create -n TChatBot

### (2.a) Activate virtual environment by running the command:

        conda activate TChatBot

### (2.b) `(TChatBot)` in the left of terminal shows that the environment is activated

                 

## Install the latest `TChatBot` package using `pip`:

        

        pip install TChatBot

        

### Congrats, You installed all the required dependencies :) 

# Usage:

### (Must run within the virtual environment):

### Chat with TChatBot:

        tchatbot -chat

### Train the Chatbot:

        tchatbot -train

### Create Custom Dataset commandline

        tchatbot -create

### Check Current classes trained

        tchatbot -classes

### Check Model Pipeline Configurations

        tchatbot --config

### Check Version:

        

        tchatbot -v

### For any help/guidance regarding commands:

        tchatbot -h

# Installation for developers 

### (Must run within the virtual environment):

## (b): By Clonining this Repository ,following the steps:

### 1. Setup the Pre-Requisites as given above (without installing the `TChatBot` package)

### 2. Once done, clone the repository inside the `Demo` folder (with activated virtual environment)

#### a. Using HTTPS:

        git clone https://github.com/deepraj1729/TChatBot.git

#### b. Using SSH:

        git clone git@github.com:deepraj1729/TChatBot.git

### 3. Navigate to the `TChatBot` folder (Parent folder) command-line:

        

        cd TChatBot

### 4. Install the requirements from the activated environment:

        pip install -r requirements.txt 

## Congrats, You installed all the required dependencies :) 

# Usage (for Developers or Contributors):

### (inside the virtual environment)

### a. Chat with TChatBot:

        python main.py -chat

### b. Train the TChatbot:

        python main.py -train

### c. Create Custom Dataset command-line for retraining the Bot

        python main.py -create

    

### Check Current classes trained

        python main.py -classes

### Check Model Pipeline Configurations

        python main.py --config

### Check Version:

        

        python main.py -v

### For any help regarding commands:

        python main.py -h