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https://github.com/shamspias/deadlyaichatbot
This repository contains a WhatsApp chatbot built with Flask and powered by OpenAI's GPT-3 and DALL-E-2 language models. The chatbot is able to understand and respond to natural language queries and provide helpful information. The chatbot can help in many area like customer service, providing news and answering frequently asked questions.
https://github.com/shamspias/deadlyaichatbot
artificial-intelligence dalle2 flask gpt-3 gptchat nlp python whatsapp-bot whatsapp-business-api
Last synced: 7 days ago
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This repository contains a WhatsApp chatbot built with Flask and powered by OpenAI's GPT-3 and DALL-E-2 language models. The chatbot is able to understand and respond to natural language queries and provide helpful information. The chatbot can help in many area like customer service, providing news and answering frequently asked questions.
- Host: GitHub
- URL: https://github.com/shamspias/deadlyaichatbot
- Owner: shamspias
- Created: 2023-01-12T10:12:27.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-17T07:48:14.000Z (about 2 years ago)
- Last Synced: 2024-12-04T12:17:45.406Z (2 months ago)
- Topics: artificial-intelligence, dalle2, flask, gpt-3, gptchat, nlp, python, whatsapp-bot, whatsapp-business-api
- Language: Python
- Homepage:
- Size: 61.5 KB
- Stars: 4
- Watchers: 3
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## WhatsAPP AI Chatbot for DeadlyAI
Rename example-docker-compose.yml to docker-compose.yml
Flask, Celery, Flower and Redis services with Docker
docker-compose.yml file split into the following services
- redis
- website
- celery
- flower
### Build With
- Whatsapp Business API
- OpenAI GPT-3
- OpenAI DAL-E-2
### Technology
* Python
* Flask
* PostgresSQL
### Install & deploy
- Rename example.env to .env and set the API key for OpenAI
- Create a virtual environment and active it
- Windows
- ```python -m venv venv```
- ```venv/Scripts/activate```
- Linux/Mac
- ```python3 -m venv venv```
- ```venv/bin/activate```
- Install the requirements ```pip install -r requirements.txt```
- Run it ```python app.py```
- If everything is ok then host it with Nginx and Guniron.
### Host Flask Application
- Host to Ubuntu VPS [Tutorial](https://www.digitalocean.com/community/tutorials/how-to-serve-flask-applications-with-gunicorn-and-nginx-on-ubuntu-20-04)
- Host to Heroku [Tutorial](https://www.geeksforgeeks.org/deploy-python-flask-app-on-heroku/)
## Setup gunicorn
- Make gunicorn service file```sudo nano /etc/systemd/system/deadlyai.service```
- Write service into gunicorn service file
```
[Unit]
Description=Gunicorn instance to serve whatsapp chatbot script
After=network.target
[Service]
User=ubuntu
Group=www-data
WorkingDirectory=/home/ubuntu/deadlyAIchatbot
Environment="PATH=/home/ubuntu/deadlyAIchatbot/venv/bin"
ExecStart=/home/ubuntu/deadlyAIchatbot/venv/bin/gunicorn --workers 3 --bind unix:deadlyai.sock -m 007 wsgi:app
[Install]
WantedBy=multi-user.target
```
- Start and enable the service
``` sudo systemctl start deadlyai && sudo systemctl enable deadlyai ```
## Setup Nginx
- Create nginx config `sudo nano /etc/nginx/sites-available/deadlyai` and add the code
```
server {
listen 80;
server_name chatbot.deadlyai.com www.chatbot.deadlyai.com;
location / {
include proxy_params;
proxy_pass http://unix:/home/ubuntu/deadlyAIchatbot/deadlyai.sock;
}
}
```
- Symlink the nginx config `sudo ln -s /etc/nginx/sites-available/deadlyai /etc/nginx/sites-enabled`
- Restart the nginx
With Docker
```
version: '3.8'
services:
redis:
image: 'redis:5.0.5'
command: redis-server --requirepass devpassword
volumes:
- 'redis:/var/lib/redis/data'
ports:
- '6379:6379'
website:
build: .
command: >
gunicorn -b 0.0.0.0:8000
--access-logfile -
--reload
"src.app:flask_app"
env_file:
- '.env'
volumes:
- '.:/deadlyai'
ports:
- '8000:8000'
celery:
build: .
command: celery -A wsgi_app.celery worker --loglevel=info --pool=solo
env_file:
- '.env'
volumes:
- '.:/deadlyai'
flower:
image: mher/flower
environment:
- CELERY_BROKER_URL=redis://:devpassword@redis:6379/0
- FLOWER_PORT=5555
ports:
- 5555:5555
volumes:
redis:
```
## Instructions
1. Must have docker installed.
2. CD into the root of the project
3. Create a .env file with the following env variables. Place it in the root directory (same level as docker-compose.yaml).
```
COMPOSE_PROJECT_NAME=deadlyai
PYTHONUNBUFFERED=true
```
4. Build the containers
```
docker-compose up --build
```