asifrahaman13 / crispy-waddle

A simple python script to analyze sentiment and dump the data into mongodb database utilizing multi threading to have concurrent processing. Concurrency helped the program to achieve the same task with ~ 80% lesser tham

About the application

• First pull the repository. git clone https://github.com/asifrahaman13/crispy-waddle.git

• Go to the root directory. cd sentiment

• create a virtual environment. virtualenv .venv

• Now install the dependencies. pip install -r requirements.txt

• Now rename the .env.example. mv .env.example .env.

• Give the proper configuration by giving the API keys. For example set the open ai key, mapbox api key etc.

• Next you need to run the application using the following script: python3 src/main.py

Want to run in docker?

First you need to build the docker container:

docker build -t sentiment:latest

Ensure that you have set the OPENAI_API_KEY, and MONGO_URI

export OPENAI_API_KEY=<your api key>
export MONGO_URI=<mongodb connection string. localhost wont work. Please use mongodb atlas>

Next run the docker container: sudo docker run -e OPENAI_API_KEY=$OPENAI_API_KEY -e MONGO_URI=$MONGO_URI sentiment:latest