A Django-based intelligent chatbot with customizable learning and multi-language support using GPT-3. The chatbot is able to learn from books, articles, and other information provided by the user. Additionally, the chatbot is able to work with multiple languages.
- Customizable learning capabilities with GPT-3
- Multi-language support
- Natural Language Processing (NLP) using NLTK/spaCy/GPT-3
- Conversational speech with OpenAI whisper
- User-friendly interface
- Social Authentication System
- Track Record of every conversation for specific users
- Give answer based on last 15 conversations
- Easy deployment on Heroku or AWS
- Django & Django Rest Framework
- Celery
- Hugging Face's transformers library
- NLTK/spaCy
- OpenAI GPT-3 & Whisper
- Python 3.6 or above
- Django 3.1 or above
- Hugging Face's transformers library
- NLTK or spaCy
- API key from OpenAI
- Clone the repository.
- Install the required packages by running
pip install -r requirements.txt - Run celery
celery -A customizableGpt3Chatbot worker --loglevel=info - Run the command
python manage.py runserver - Open
http://127.0.0.1:8000/in your browser
In linux need to install pycurl
- 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 -y - Make sure that you have the latest version of pip and setuptools installed by running the following command:
pip install --upgrade pip setuptools pip install pycurl
The chatbot can be deployed on Heroku or AWS by following the standard procedures for Django deployment on these platforms.
Make sure that you have API key from OpenAI before running the project.
This is just a basic implementation of the project, you can always add more features and customization according to your requirement.
Enjoy!