---
title: Sentiment Analyzer
emoji: 🎭
colorFrom: indigo
colorTo: pink
sdk: gradio
sdk_version: 6.19.0
app_file: app.py
pinned: false
---

# 🎭 Sentiment Analyzer

A lightweight text sentiment classifier running DistilBERT (67M params). 
Type any sentence and get instant positive/negative analysis.

**Why this exists:** Small models can do real work. This runs on CPU in 
milliseconds — no GPU needed, no queue, no waiting.

**What I learned building this:**
- Loading transformers pipelines for inference
- Building clean Gradio interfaces
- Deploying to Hugging Face Spaces

## Usage

```python
from transformers import pipeline

classifier = pipeline(
    "sentiment-analysis",
    model="distilbert-base-uncased-finetuned-sst-2-english"
)
classifier("This is great!")
# [{'label': 'POSITIVE', 'score': 0.9998}]
```

## Links
- **HF Profile:** [arinbalyan](https://huggingface.co/arinbalyan)
- **Training Notebook:** Coming soon (Kaggle fine-tune on custom data)