README.md

metadata

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

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
• Training Notebook: Coming soon (Kaggle fine-tune on custom data)