Priyam1105/Sentiment_analysis_pro

🎯 Sentiment Analysis API

A production-ready FastAPI application for service review sentiment analysis powered by a fine-tuned DistilBERT model.

Model Details

• —Base Model: distilbert-base-uncased
• —Task: Sequence Classification (3 classes)
• —Labels: positive, neutral, negative
• —Training Data: Amazon service reviews + synthetic service review data

API Endpoints

Quick Start (Local)

pip install -r requirements.txt
uvicorn app.main:app --host 0.0.0.0 --port 7860 --reload

Example API Usage

import requests

response = requests.post(
    "http://localhost:7860/predict",
    json={"text": "The plumber was very professional and on time"}
)
print(response.json())
# {"text": "...", "sentiment": "positive", "confidence": 0.98, "raw_label": "LABEL_2"}

Deploy to Hugging Face Spaces

1. 1.Create a new Space on Hugging Face
2. 2.Select Docker as the SDK
3. 3.Push this entire repository to the Space
4. 4.The app will build and deploy automatically

Tech Stack

• —FastAPI — High-performance async API framework
• —Hugging Face Transformers — DistilBERT model inference
• —PyTorch — Deep learning backend
• —Pydantic — Request/response validation