A sentiment analysis project driven by real time data collection and a combination of CNN-LSTM architecture.

• Prerequisites
• Setup
• System Design

• Node
• Python (>=3.10)
• Python Extension (VSCode)
• Jupyter Notebook Extension (VSCode)
• Docker (Optional)

• Create virtual environment

python -m venv venv

• Enter virtual environment

  • Bash

    source venv/bin/activate
    

  • Powershell

    .\venv\Scripts\activate
    

• Install requirements

pip install -r requirements.txt

cd scraping-service

• Install modules

  npm install
  

  or

  npm i
  

• Setup environment variables

  $ scraping-service/.env

  MONGO_URL=
  API_KEY=
  POSTGRES_URL=
  

• Starting the servers
  $ scraping-service

  npm run dev
  

cd generation-service

• Install Packages

  pip -r requirements.txt
  

$ generation-service/.env

GEMINI_API_KEY=

$ generation-service

uvicorn main:app --host 0.0.0.0 --port 8000

• Setup environment variables

  VITE_AUTH0_CLIENT_ID=
  VITE_AUTH0_DOMAIN=
  VITE_SCRAPING_SERVICE_URL=https://localhost:5000
  VITE_GENERATION_SERVICE_URL=https://localhost:8000
  VITE_CLIENT_URL= https://localhost:5173/
  VITE_SERVER_URL=https://localhost:5000
  

  $ client

  npm i && npm run dev
  

$ .

docker compose up