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README.md

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+---
+title: Text Classification Model
+emoji: 🤗
+colorFrom: blue
+colorTo: red
+sdk: gradio
+sdk_version: 3.14.0
+app_file: app.py
+pinned: false
+tags:
+- text-classification
+- sentiment-analysis
+- transformers
+- distilbert
+license: mit
+language:
+- en
+---
+
+# 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
+
+```python
+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
+
+```bash
+pip install -r requirements.txt
+```
+
+## Local Testing
+
+```bash
+python test_model.py
+```