Movie Review Sentiment Analysis - BERT

README.md

@@ -1,14 +1,52 @@
 ---
-title: Sentiment Demo
-emoji: ⚡
-colorFrom: indigo
-colorTo: yellow
+title: Movie Review Sentiment Analyzer
+emoji: 🎬
+colorFrom: blue
+colorTo: purple
 sdk: gradio
 sdk_version: 5.9.1
 app_file: app.py
 pinned: false
 license: mit
-short_description: Test Space
+short_description: BERT-powered movie review sentiment analysis
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Movie Review Sentiment Analyzer
+
+## Overview 🎯
+This Gradio app uses the `zavora/bert-sentiment-imdb` model to analyze movie review sentiments in real-time. The model has been fine-tuned on the IMDB dataset to provide accurate sentiment predictions for movie-related text.
+
+## Features ✨
+- Real-time sentiment analysis
+- Confidence score for each prediction
+- User-friendly interface
+- Example reviews for testing
+- Mobile-responsive design
+
+## Model Details 🤖
+- **Base Model**: bert-base-uncased
+- **Fine-tuned on**: IMDB dataset
+- **Task**: Binary Sentiment Analysis
+- **Model Source**: [zavora/bert-sentiment-imdb](https://huggingface.co/zavora/bert-sentiment-imdb)
+
+## How to Use 📝
+1. Enter your movie review in the text box
+2. Click the "Submit" button
+3. View the sentiment analysis results:
+   - Sentiment (Positive/Negative)
+   - Confidence score
+
+## Technical Details 🛠️
+Built with:
+- Gradio 5.9.1
+- Transformers
+- PyTorch
+- BERT model fine-tuned on IMDB dataset
+
+## Local Development
+```bash
+# Install dependencies
+pip install -r requirements.txt
+
+# Run the app
+python app.py