---
title: Bert Sentiment Analysis
emoji: 🦀
colorFrom: pink
colorTo: green
sdk: docker
pinned: false
short_description: 'BERT-Based Sentiment Analyzer '
---
# 🚀 **BERT Sentiment Analysis - Hugging Face Spaces**
This is a **Flask-based web application** that performs **sentiment analysis** using a **pre-trained BERT model** from Hugging Face.

🔍 **Model Used**: [`philipobiorah/bert-imdb-model`](https://huggingface.co/philipobiorah/bert-imdb-model)  
🌍 **Live App**: [**Try it on Hugging Face Spaces**](https://huggingface.co/spaces/philipobiorah/bert-imdb-model)

---

## 📌 **How It Works**
1. **Enter a text** in the input field OR **upload a CSV file**.
2. The model classifies the sentiment as **Positive** or **Negative**.
3. If a file is uploaded, results are displayed in a **bar chart**.

---

## ⚙️ **Model Details**
- **Model Name**: [`philipobiorah/bert-imdb-model`](https://huggingface.co/philipobiorah/bert-imdb-model)
- **Base Model**: `bert-base-uncased`
- **Framework**: `transformers` (Hugging Face) + `torch` (PyTorch)
- **Task**: Binary Sentiment Classification (**Positive / Negative**)

---

## 📦 **Running Locally**
### **1️⃣ Clone the Repository**
```bash
git clone https://huggingface.co/spaces/philipobiorah/bert-imdb-model
cd bert-imdb-model


Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference