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juliensimon/imdb-demo-space

sourceHugging Faceupdated 4mo agoView on Hugging Face
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App README

IMDB Sentiment Analysis

Classify movie reviews as positive or negative using a fine-tuned transformer model trained on the IMDB dataset. Type a review and get an instant sentiment prediction with confidence score.

<p align="center"> <img src="https://img.shields.io/badge/Task-Sentiment%20Analysis-blue" alt="Sentiment Analysis"> <img src="https://img.shields.io/badge/Dataset-IMDB-yellow" alt="IMDB"> <img src="https://img.shields.io/badge/Training-AutoNLP-green" alt="AutoNLP"> <img src="https://img.shields.io/badge/SDK-Gradio-orange" alt="Gradio"> </p>

How It Works

  1. 1.Type or paste a movie review
  2. 2.The model predicts whether the sentiment is positive or negative
  3. 3.Get a result like: "This review is 97.42% positive"

Model

DetailValue
Modeljuliensimon/autonlp-imdb-demo-hf-16622775
ArchitectureAutoModelForSequenceClassification
TrainingHugging Face AutoNLP
DatasetIMDB (50K movie reviews), fine-tuning split
TaskBinary sentiment classification

Examples

ReviewPrediction
"A masterpiece of storytelling with brilliant performances"✅ Positive
"Terrible plot, wooden acting, waste of time"❌ Negative

Run Locally

bash
git clone https://huggingface.co/spaces/juliensimon/imdb-demo-space
cd imdb-demo-space
pip install -r requirements.txt
python app.py