Sentiment Analysis App

This project is a Sentiment Analysis App built using Streamlit and the transformers library from Hugging Face. The app allows users to input text and analyze its sentiment using a pre-trained BERT model.

Overview

The Sentiment Analysis App performs the following tasks:

• Takes user input as text.
• Uses a pre-trained BERT model to analyze the sentiment of the input text.
• Displays the sentiment score.

Features

• Pre-trained BERT Model: Utilizes the nlptown/bert-base-multilingual-uncased-sentiment model from Hugging Face for sentiment analysis.
• Visual Feedback: Sentiment results are displayed with emojis, descriptive text.

Setup Instructions

Prerequisites

• Python 3.6 or higher
• Streamlit
• transformers library
• torch library

Screen Shots

Installation

1. Clone the repository:

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

2. Install the required packages:

   pip install -r requirements.txt

Running the App

To run the app locally, execute the following command:

streamlit run app.py