Ahmed766/text-classification-demo

Text Classification Model

This model performs sentiment analysis using a pre-trained transformer model fine-tuned on a custom dataset.

Features

• —Sentiment analysis (positive/negative)
• —Easy-to-use API
• —Preprocessing included
• —Configurable confidence threshold

Usage

from text_classifier import TextClassifier

classifier = TextClassifier()
result = classifier.predict("This is a great product!")
print(result)

Model Details

• —Architecture: DistilBERT
• —Dataset: SST-2 (Stanford Sentiment Treebank)
• —Accuracy: ~86% (on SST-2 test set)

Hugging Face Space

This model can be deployed as a Hugging Face Space with a Gradio interface for easy interaction.

Installation

pip install -r requirements.txt

Local Testing

python test_model.py