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---
title: Text Sentiment Classifier
emoji: 🧠
sdk: gradio
app_file: app.py
---
# Text-Sentiment-Classifier-API
This project is a simple REST API for sentiment analysis built with FastAPI and HuggingFace Transformers. It uses the distilbert-base-uncased-finetuned-sst-2-english model to classify English text as positive, negative or (rarely) neutral, and it returns a confidence score.
# 🚀 Features
- RESTful API with FastAPI
- Pre-trained BERT-based sentiment model
- JSON input and output
- Interactive Swagger UI at /docs
# 📦 Model
The API uses:
`` distilbert-base-uncased-finetuned-sst-2-english ``
A lightweight version of BERT fine-tuned on the SST-2 dataset for sentiment classification.
# Example
Request:
``
POST /predict
{
"text": "I absolutely love this product!"
}
``
Response:
``
{
"sentiment": "positive",
"confidence": 0.9981
}
``
# 📁 File Structure
. </br>
├── main.py # API implementation </br>
├── requirements.txt # Python dependencies </br>
└── README.md # Project documentation </br>
## 🚀 How to Use
1. Enter any English sentence in the input box
2. Click **Submit**
3. View the sentiment label and confidence
## 🚀 How to Deploy on Hugging Face Spaces
1. Create a Hugging Face account <br>
Sign up at https://huggingface.co/join
2. Create a new Space
Go to https://huggingface.co/spaces and click Create new Space
3. Fill out the form
- Space name: text-sentiment-api (or your choice)
- SDK: Gradio
- Visibility: Public or Private
4. Upload the files
- app.py
- requirements.txt
- README.md (this file)
5. Wait for the build
Hugging Face will automatically install dependencies and launch the app
6. Access your app
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