| 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) | |