Smart Content Recommendation and Generation Platform

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The Smart Content Recommendation and Generation Platform is a Django-based web application that leverages the Ollama API to generate and recommend content. It provides features like AI-powered content generation, summarization, and tag-based recommendations. Users can register, authenticate, and manage their generated content seamlessly.

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Features

• User Authentication: Secure JWT-based authentication for user registration and login.
• Content Generation: Generate high-quality blog posts or articles using the Ollama API.
• Content Summarization: Summarize long articles or blog posts into concise text.
• Tag-Based Recommendations: Get recommendations for similar content based on tags.
• Pagination: Paginated list of user-generated content for better usability.
• Error Handling: Robust error handling for API requests and Ollama integration.

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Tech Stack

• Backend: Django, Django Rest Framework (DRF)
• AI Integration: Ollama (Llama 3.2 model)
• Authentication: JWT (JSON Web Tokens)
• Database: SQLite (can be replaced with PostgreSQL or MySQL)
• Pagination: DRF's built-in pagination

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Installation

Prerequisites

• Python 3.12+
• Pip (Python package manager)

Steps

1. Clone the Repository:

   git clone git@github.com:KNehe/smart_content_platform.git
   cd smart-content-platform

2. Set Up a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Run Migrations:

   python manage.py migrate

5. Start the Development Server:

   python manage.py runserver

6. Access the API:

   • The API will be available at http://localhost:8000/api/.

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API Endpoints

Authentication

• Register User:

  • POST /api/register/
  • Request Body:

    {
      "username": "testuser",
      "password": "testpass123",
      "email": "test@example.com"
    }

• Login (Get JWT Token):

  • POST /api/token/
  • Request Body:

    {
      "username": "testuser",
      "password": "testpass123"
    }

• Refresh JWT Token:

  • POST /api/token/refresh/
  • Request Body:

    {
      "refresh": "your-refresh-token"
    }

Content Management

• Generate Content:

  • POST /api/generate-content/
  • Request Body:

    {
      "topic": "Quantum Computing"
    }

• Summarize Content:

  • POST /api/summarize-content/
  • Request Body:

    {
      "text": "A long article about climate change..."
    }

• List User Content:

  • GET /api/user-content/

• Get Recommendations:

  • GET /api/recommendations/<content_id>/

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Usage Example

1. Register a User:

   curl -X POST http://localhost:8000/api/register/ \
        -H "Content-Type: application/json" \
        -d '{"username": "testuser", "password": "testpass123", "email": "test@example.com"}'

2. Login and Get JWT Token:

   curl -X POST http://localhost:8000/api/token/ \
        -H "Content-Type: application/json" \
        -d '{"username": "testuser", "password": "testpass123"}'

3. Generate Content:

   curl -X POST http://localhost:8000/api/generate-content/ \
        -H "Authorization: Bearer YOUR_JWT_TOKEN" \
        -H "Content-Type: application/json" \
        -d '{"topic": "Artificial Intelligence"}'

4. Get Recommendations:

   curl -X GET http://localhost:8000/api/recommendations/1/ \
        -H "Authorization: Bearer YOUR_JWT_TOKEN"

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Project Structure

smart-content-platform/
├── content/
│   ├── migrations/
│   ├── __init__.py
│   ├── admin.py
│   ├── apps.py
│   ├── models.py
│   ├── serializers.py
│   ├── services.py
│   ├── urls.py
│   └── views.py
├── smart_content_platform/
│   ├── __init__.py
│   ├── asgi.py
│   ├── settings.py
│   ├── urls.py
│   └── wsgi.py
├── manage.py
├── requirements.txt
└── README.md

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Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeatureName).
3. Commit your changes (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/YourFeatureName).
5. Open a pull request.

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Acknowledgments

• Django for the backend framework.
• Ollama for the AI-powered content generation.
• DRF for building RESTful APIs.