metadata

title: Disilbert
emoji: 🏆
colorFrom: purple
colorTo: purple
sdk: gradio
sdk_version: 5.31.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: smaller bert

DistilBERT Sentiment Analysis App with Live Logs & Visualization

🚀 Overview

Welcome to the DistilBERT Sentiment Analysis App — a sleek, lightweight, and CPU-friendly application designed to provide real-time sentiment analysis powered by Hugging Face's DistilBERT model fine-tuned on SST-2.

This app is ideal for anyone looking to quickly analyze text sentiment, especially in domains like salon product reviews, customer feedback, or social media posts. Its intuitive interface features:

Instant sentiment classification with confidence scores
Live session logging of all analyses performed
Dynamic, easy-to-understand sentiment distribution visualization
Clean, responsive UI built with Gradio

📚 Why This App?

Sentiment analysis helps businesses gauge customer emotions and feedback trends efficiently. Using this app, you can:

Identify positive vs. negative feedback instantly
Monitor evolving sentiment trends during live sessions
Gain insights visually with a real-time bar chart
Deploy and run easily on free Hugging Face Spaces or on any CPU machine

⚙️ Features

Feature	Description
DistilBERT backend	Uses a lightweight, fast transformer model
Real-time sentiment analysis	Processes input text and returns label + confidence
Session logging	Maintains an interactive log of all analyses
Visual sentiment distribution	Updates a bar chart showing counts of positive and negative labels
User-friendly Gradio UI	Simple interface optimized for clarity and usability
CPU optimized	Perfect for free Hugging Face Spaces or low-resource machines

🛠️ Installation & Setup

Prerequisites

Python 3.7 or higher
Git (optional, for cloning repo)

Installation Steps

Clone the repository (or download the source)

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