Syed Arfan commited on
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1 Parent(s): bf8eab1

Refactor README.md for improved formatting and clarity

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  1. README.md +14 -14
README.md CHANGED
@@ -6,7 +6,7 @@ A production-ready REST API for analyzing text sentiment using transformer model
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  ![FastAPI](https://img.shields.io/badge/FastAPI-005571?style=flat&logo=fastapi)
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  ![Python](https://img.shields.io/badge/python-3.11-blue.svg)
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- ## ๐Ÿš€ Features
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  - **Fast sentiment analysis** using DistilBERT transformer model
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  - **RESTful API** with automatic interactive documentation
@@ -15,14 +15,14 @@ A production-ready REST API for analyzing text sentiment using transformer model
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  - **Input validation** with Pydantic models
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  - **Sub-100ms inference** after model warm-up
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- ## ๐Ÿ› ๏ธ Tech Stack
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  - **Backend:** FastAPI (async Python web framework)
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  - **ML Model:** DistilBERT via HuggingFace Transformers
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  - **Containerization:** Docker
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  - **API Documentation:** Auto-generated with Swagger UI
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- ## ๐Ÿ“ฆ Quick Start
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  ### Prerequisites
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  - Docker Desktop installed
@@ -64,7 +64,7 @@ curl -X POST "http://localhost:8000/analyze" \
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  }
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  ```
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- ## ๐Ÿ“Š API Endpoints
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  | Method | Endpoint | Description |
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  |--------|----------|-------------|
@@ -72,7 +72,7 @@ curl -X POST "http://localhost:8000/analyze" \
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  | POST | `/analyze` | Analyze text sentiment |
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  | GET | `/health` | Kubernetes-style health endpoint |
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- ## ๐Ÿ—๏ธ Project Structure
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  ```
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  sentiment-api/
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  โ”œโ”€โ”€ src/
@@ -84,7 +84,7 @@ sentiment-api/
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  โ””โ”€โ”€ README.md
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  ```
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- ## ๐Ÿงช Development
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  ### Local Setup (without Docker)
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  ```bash
@@ -104,21 +104,21 @@ uvicorn src.main:app --reload
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  pytest tests/ -v
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  ```
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- ## ๐Ÿณ Docker Details
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  - **Base Image:** `python:3.11-slim`
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  - **Image Size:** ~1.2GB (includes PyTorch + transformers)
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  - **Health Check:** Configured for production monitoring
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  - **Multi-stage optimized** for faster rebuilds
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- ## ๐Ÿ“ˆ Performance
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  - **First request:** 30-60s (model download)
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  - **Subsequent requests:** < 100ms
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  - **Memory usage:** ~500MB (model in RAM)
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  - **Concurrent requests:** 10-20 (CPU-bound)
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- ## ๐Ÿ”ฎ Future Enhancements
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  - [ ] GPU support for faster inference
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  - [ ] Model caching layer (Redis)
@@ -128,17 +128,17 @@ pytest tests/ -v
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  - [ ] Multiple model support
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  - [ ] Kubernetes deployment configs
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- ## ๐Ÿ“ License
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  MIT License - feel free to use for your projects!
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- ## ๐Ÿ‘ค Author
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  **Your Name**
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- - GitHub: [@yourusername](https://github.com/yourusername)
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- - LinkedIn: [Your Profile](https://linkedin.com/in/yourprofile)
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- ## ๐Ÿ™ Acknowledgments
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  - [HuggingFace](https://huggingface.co/) for the DistilBERT model
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  - [FastAPI](https://fastapi.tiangolo.com/) for the excellent framework
 
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  ![FastAPI](https://img.shields.io/badge/FastAPI-005571?style=flat&logo=fastapi)
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  ![Python](https://img.shields.io/badge/python-3.11-blue.svg)
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+ ## Features
10
 
11
  - **Fast sentiment analysis** using DistilBERT transformer model
12
  - **RESTful API** with automatic interactive documentation
 
15
  - **Input validation** with Pydantic models
16
  - **Sub-100ms inference** after model warm-up
17
 
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+ ## Tech Stack
19
 
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  - **Backend:** FastAPI (async Python web framework)
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  - **ML Model:** DistilBERT via HuggingFace Transformers
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  - **Containerization:** Docker
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  - **API Documentation:** Auto-generated with Swagger UI
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+ ## Quick Start
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  ### Prerequisites
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  - Docker Desktop installed
 
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  }
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  ```
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+ ## API Endpoints
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  | Method | Endpoint | Description |
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  |--------|----------|-------------|
 
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  | POST | `/analyze` | Analyze text sentiment |
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  | GET | `/health` | Kubernetes-style health endpoint |
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+ ## Project Structure
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  ```
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  sentiment-api/
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  โ”œโ”€โ”€ src/
 
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  โ””โ”€โ”€ README.md
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  ```
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+ ## Development
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  ### Local Setup (without Docker)
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  ```bash
 
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  pytest tests/ -v
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  ```
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+ ## Docker Details
108
 
109
  - **Base Image:** `python:3.11-slim`
110
  - **Image Size:** ~1.2GB (includes PyTorch + transformers)
111
  - **Health Check:** Configured for production monitoring
112
  - **Multi-stage optimized** for faster rebuilds
113
 
114
+ ## Performance
115
 
116
  - **First request:** 30-60s (model download)
117
  - **Subsequent requests:** < 100ms
118
  - **Memory usage:** ~500MB (model in RAM)
119
  - **Concurrent requests:** 10-20 (CPU-bound)
120
 
121
+ ## Future Enhancements
122
 
123
  - [ ] GPU support for faster inference
124
  - [ ] Model caching layer (Redis)
 
128
  - [ ] Multiple model support
129
  - [ ] Kubernetes deployment configs
130
 
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+ ## License
132
 
133
  MIT License - feel free to use for your projects!
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+ ## Author
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  **Your Name**
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+ - GitHub: [@simplyarfan](https://github.com/simplyarfan)
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+ - LinkedIn: [Syed Arfan Hussain](https://linkedin.com/in/syedarfan)
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+ ## Acknowledgments
142
 
143
  - [HuggingFace](https://huggingface.co/) for the DistilBERT model
144
  - [FastAPI](https://fastapi.tiangolo.com/) for the excellent framework