AI Sentiment Analysis App

Features

Technologies Used

Project Structure

AI-Sentiment-Analysis-App/
├── models/             # Sentiment analysis models
├── routes/             # API routes for text processing
├── templates/          # Frontend templates
├── static/             # Static assets (CSS, JS, images)
├── app.py              # Main application file
├── config/             # Configuration files (DB, authentication)
├── requirements.txt    # Python dependencies
├── README.md           # Project documentation

Getting Started

1. Clone the Repository

git clone https://github.com/HSk2703/AI-Sentiment-Analysis-App.git
cd AI-Sentiment-Analysis-App

2. Create a Virtual Environment

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Set Up Environment Variables

FLASK_APP=app.py
FLASK_ENV=development
DATABASE_URL=your_database_connection_string
SECRET_KEY=your_secret_key

5. Run the Application

flask run

6. Access the Application

API Endpoints