🤖 AI Web App

🌟 Overview

AI Web App is a Flask-based application that leverages the power of CrewAI to provide intelligent data analysis, recommendations, and sentiment analysis. This project demonstrates the integration of AI capabilities into a web application, making it easy to deploy and scale AI-powered services.

🚀 Features

• 📊 Data Analysis: Analyze complex datasets and provide insightful results.
• 🎯 Personalized Recommendations: Generate tailored recommendations based on user data.
• 😃 Sentiment Analysis: Determine the sentiment of text inputs with nuanced understanding.
• 📝 Content Generation: Create engaging content on various topics and in different formats.
• 🔬 Comprehensive Analysis: Perform in-depth analysis combining multiple AI agents for holistic insights.
• 🔧 Configurable AI Agents: Easily add or modify AI agents to extend functionality.
• 🔒 Feature Toggles: Enable or disable specific AI features as needed.
• 🔐 Token-based Authentication: Secure API endpoints with bearer token authentication.

🛠️ Installation

1. Clone the repository:

   git clone https://github.com/yourusername/ai-web-app.git
   cd ai-web-app
   

2. Set up a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   

3. Install dependencies:

   pip install poetry
   poetry install
   

4. Set up environment variables:

   • Copy .env.example to .env
   • Add your OpenAI API key to the .env file

🖥️ Usage

1. Start the application:

   poetry run python src/ai_web_app/main.py
   

2. Access the API endpoints:

   • Home: GET /
   • Analyze Data: POST /analyze
   • Get Recommendation: POST /recommend
   • Analyze Sentiment: POST /sentiment
   • Generate Content: POST /generate-content
   • Comprehensive Analysis: POST /comprehensive-analysis

   Note: All endpoints except the home route require authentication.

🧪 Running Tests

Run the test suite using pytest:

poetry run pytest

📚 API Documentation

Analyze Data

• Endpoint: POST /analyze
• Request Body: { "data": "Your data here" }
• Response: JSON object with analysis results

Get Recommendation

• Endpoint: POST /recommend
• Request Body: { "user": "User data here" }
• Response: JSON object with personalized recommendations

Analyze Sentiment

• Endpoint: POST /sentiment
• Request Body: { "text": "Text to analyze" }
• Response: JSON object with sentiment analysis results

Generate Content

• Endpoint: POST /generate-content
• Request Body: { "topic": "Your topic", "content_type": "article" }
• Response: JSON object with generated content

Comprehensive Analysis

• Endpoint: POST /comprehensive-analysis
• Request Body: { "data": "Your complex data for analysis" }
• Response: JSON object with comprehensive analysis results

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

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

🙏 Acknowledgements

• CrewAI for providing the AI framework
• Flask for the web framework
• OpenAI for the language model capabilities