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A fast accurate API for detecting NSFW images.
aiapicontent-moderationimage-classificationimage-processingmachine-learningnsfw-detectionopen-sourcepythonstarred-repostarred-steelcityamir-repotensorflow
.github/workflows | ||
.gitignore | ||
Dockerfile | ||
LICENSE | ||
main.py | ||
README.md | ||
requirements.txt | ||
SECURITY.md | ||
sunflower.jpg | ||
test_main.py | ||
test-requirements.txt |
Safe Content AI
A fast reliable API for detecting NSFW images.
⭐ Features
- Uses the Falconsai/nsfw-image-detection AI model
- Caches results based on SHA-256 hash of image data
🐳 Quick Start using Docker
docker run -p 8000:8000 codebyamir/safecontentai:latest
Getting Started
Prerequisites
Ensure you have Python 3.7+ installed on your system.
Installation
Clone the repository to your local machine:
git clone https://github.com/steelcityamir/safe-content-ai.git
Navigate to the cloned directory:
cd safe-content-ai
Create a virtual environment
python -m venv venv
source venv/bin/activate
Install the required libraries using pip:
pip install -r requirements.txt
Running the API
Start the API server from your command line:
uvicorn main:app --reload
API usage
POST /api/v1/detect
This endpoint allows users to upload an image file, which is then processed to determine if the content is NSFW (Not Safe For Work). The response includes whether the image is considered NSFW and the confidence level of the prediction.
Request
- URL:
/api/v1/detect
- Method:
POST
- Content-Type:
multipart/form-data
- Body:
- file (required): The image file to be classified.
Response
- Content-Type:
application/json
- Body:
{ "file_name": "string", "is_nsfw": "boolean", "confidence_percentage": "number" }
Curl
curl -X POST "http://127.0.0.1:8000/api/v1/detect" \
-H "Content-Type: multipart/form-data" \
-F "file=@/path/to/your/image.jpeg"
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
For support, please open an issue in the GitHub issue tracker for this project.