Sentiment Analysis App

This is a simple sentiment analysis web application built using Flask, Hugging Face Transformers, TensorFlow, and styled with Tailwind CSS. The app takes a sentence as input and predicts whether the sentiment is positive or negative.

Features

• Sentiment analysis using a pre-trained transformer model.
• Web interface styled with Tailwind CSS.
• Simple and easy-to-use interface.

Installation

Prerequisites

• Python 3.6+
• pip (Python package installer)

Steps

1. Clone the repository

   git clone https://github.com/neuralsorcerer/sentiment-analysis-app.git
   cd sentiment-analysis-app
   

2. Create a virtual environment

   python -m venv venv
   

3. Activate the virtual environment

   • On Windows:

     venv\Scripts\activate
     

   • On macOS and Linux:

     source venv/bin/activate
     

4. Install dependencies

   pip install -r requirements.txt
   

5. Run the Flask app

   python app.py
   

6. Open your browser

   Navigate to http://127.0.0.1:5000/ to access the web application.

Usage

• Enter a sentence in the text area provided.
• Click the "Analyze" button.
• The app will display whether the sentiment of the entered sentence is positive or negative.