DataMiners

Global Data Search Engine

Link for full documentation: Google Doc

☁️ Deployment Instructions

pip install -r requirements.txt

With Docker:

• Ensure docker engine is running then in a terminal, go to DataMiners directory and run:
  docker compose up
  Then the app will be live at: http://localhost:5000/
  

With Flask Locally:

• Go to DataMiners directory in a terminal and run:
  Python FlaskAPI.py
  Then the app will be live at: http://127.0.0.1:5000/

In both the above cases, to get the response without UI, run below given code in a python terminal or simply put the endpoint like below in any browser (customise your endpoint with your specific input):
"http://127.0.0.1:5000/predict?company=Amazon&country=USA&url=https://www.amazon.com/&image=y"
Code:

import requests
response = requests.get("http://127.0.0.1:5000/predict?company=Amazon&country=USA&url=https://www.amazon.com/&image=")

Note : the endpoint without an url input and with choice of no image output will look like this:
"http://127.0.0.1:5000/predict?company=Amazon&country=USA&url=&image="

For Multiple inputs:

• If more than one inputs at once are needed to be called then BatchAPICall.py can be used which takes a dataframe of inputs as its input. Sample input data is present at data/unicorn-company-list-with_URLs.csv

🚧 An .env file containing all the api keys is required in the source directory to run the code