[FEATURE]: Docker containerization

[zaidkhuroo]

Feature summary

Docker should've been used to containerize this project.

Feature description

I noticed that the current setup requires running pip install -r requirements.txt manually, and I'd like to suggest considering the use of Docker for containerizing the application. Here are some reasons:

1.Environment Consistency: This eliminates the "works on my machine" problem by encapsulating the application's dependencies and Python environment within a Docker container.

2. Simplified Setup: With Docker, new contributors and users can start the application without worrying about setting up the environment manually.

I hope you find this suggestion helpful, I'd be happy to assist with the Dockerization process if needed.

Motivation

The need for Dockerization in this project arises from several critical aspects that can significantly enhance the development and deployment processes

Alternatives considered

No response

Additional context

No response

[rishsanyal]

Pushed a PR for this

[zaidkhuroo]

as i installed all the packages through requirements.txt file, after running the main file i get the error message to install packages like selenium, openai... which are already in requirements. I've attached image with this comment.

[LBC970]

Isn't running a virtual environment inside a Docker container redundant?

For your previous post, I've run into issues where the Python interpreter calls Python 2 but the dependencies are installed for Python 3 (or vice versa) and I've had to specify which Python to run. To overcome this, I've also had some luck installing dependencies for a specific Python (3 vs 2).