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Created an English-language chatbot integrated with open source GPT-2.0 and OpenAI GPT 3.5, specifically trained on domain-specific data. This chatbot is event-driven, capable of taking various actions based on user input, and designed to answer general questions.

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iamvisheshsrivastava/ChatBot

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Projects.ai Chatbot Local Setup Guide

This guide will walk you through the steps to set up the projects.ai chatbot on your local machine using Rasa.

Prerequisites

Setup Instructions

1. Setting Up the Environment

  1. Install Python version 3.8.0.
# Download and install from https://www.python.org/downloads/release/python-380/
  1. Create a new virtual environment.
python -m venv venv_rasa
  1. Activate the virtual environment. For Windows:
.\venv_rasa\Scripts\activate

For Linux/Mac:

source venv_rasa/bin/activate
  1. Install Rasa.
pip install rasa

2. Training and Testing the Model

  1. Train the chatbot model.
rasa train
  1. Test the trained model.
rasa shell

3. Running the Servers

  1. To run the website:
rasa run --enable-api --cors "*"
  1. To run the actions:
rasa run actions

Additional Resources

For a deeper dive and more configurations, refer to the official Rasa documentation: https://rasa.com/docs/rasa/.

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Created an English-language chatbot integrated with open source GPT-2.0 and OpenAI GPT 3.5, specifically trained on domain-specific data. This chatbot is event-driven, capable of taking various actions based on user input, and designed to answer general questions.

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