scopus_data_ajman_analysis

This is a simple project built with Streamlit to visualize the Scopus research data coming out of Ajman University

Project is hosted on HuggingFace: https://huggingface.co/spaces/ahishamm/biassignment1

Installation

• To install this locally, you need to create a conda environment

conda create -n streamenv python=3.10 
conda activate streamenv 
pip install -r requirements.txt 
streamlit run app.py

Deployment as a Docker Container

• To create a Docker container, a Dockerfile is provided. Make sure Docker Desktop is installed. The Dockerfile contains the following

FROM python:3.10-slim
ADD . .
RUN pip install -r requirements.txt 
EXPOSE 7250
ENTRYPOINT ["streamlit","run"] 
CMD ["./app.py","--server.headless","true","--server.fileWatcherType","none","--browser.gatherUsageStats","false","--server.port=7250","--server.address=0.0.0.0"]

• To build the Docker image from the Dockerfile, run the following command in the terminal or powershell:

docker build -t scopusimage . 

• To run a Docker container with the name 'scopuscontainer' on port 7250

docker run -p 7250:7250 --name scopuscontainer scopusimage

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