Features

• Connect with OpenAI GPT-3.5 language model for conversation
• Employ OpenAI's text-embedding-ada-002 for text embedding
• Python Langchain library for file processing and text c
• Multilingual support
• AWS S3 bucket support for scalable hosting
• Easy deployment on Heroku or AWS

How to run

• Clone the repository. git clone https://github.com/shamspias/customizable-gpt-chatbot
• Install the required packages by running pip install -r requirements.txt
• Run celery celery -A config worker --loglevel=info
• Run the command python manage.py runserver
• Open http://127.0.0.1:8000/ in your browser

In linux and mac need to install 'sudo apt install python3-dev -y`

1. Make sure that you have the development libraries for libcurl installed on your system. You can install them by running the following command: sudo apt-get install libcurl4-openssl-dev gcc libssl-dev -y
2. Make sure that you have the latest version of pip and setuptools installed by running the following command: pip install --upgrade pip setuptools
3. pip install pycurl

Deployment

The chatbot can be deployed on Heroku or AWS by following the standard procedures for Django deployment on these platforms.

Issues

• If you don't use AWS SQS then no need to install pycurl and boto3 packages.
• If you don't use AWS S3 then no need to install django-storages package.

Note

Make sure that you have API key from OpenAI before running the project. Enjoy!