Text Analysis Dashboard

Installation and Setup

Option 1: Running with Docker Compose (Recommended)

Steps

1. Install Docker and Docker Compose: Ensure you have Docker and Docker Compose installed on your machine. You can download them from Docker's official website.

2. Clone the Repository

   git clone https://github.com/ChayanBhansali/Sentiment_score.git
   cd Sentiment_score

3. Environment Setup (optional)

   # Conda
   conda create -n sentiment-env python=3.9
   conda activate sentiment-env
   
   # Or Python venv
   python3 -m venv sentiment-env
   source sentiment-env/bin/activate  # Unix
   sentiment-env\Scripts\activate     # Windows

4. Build and Run Containers

   docker-compose up --build

5. Access the Application Open your web browser and navigate to http://localhost:7860

6. Stop the Containers

   docker-compose down

Option 2: Running with Uvicorn

Steps

1. Clone the Repository

   git clone https://github.com/ChayanBhansali/Sentiment_score.git
   cd Sentiment_score

2. Create a Virtual Environment (Recommended)

3. Install Dependencies

   pip install -r requirements.txt

4. Run the Application

   uvicorn src.web:app --host 0.0.0.0 --port 7860
   uvicorn src.system:app --host 0.0.0.0 --port 8000

5. Access the Application Open your web browser and navigate to http://localhost:7860

Visualization

The spider graph comprises five metrics: four derived from emotion analyses and one representing an education score. Each point is scaled from 0 to 1, allowing for a comprehensive comparative visualization of the data points.