--- license: mit title: maximus-im sdk: gradio colorFrom: gray colorTo: indigo pinned: false sdk_version: 5.26.0 --- # Quantum NLP Framework A Python-based Flask web application with spaCy NLP processing, quantum-inspired recursive functions, and OpenAI API integration. This framework implements a multi-dimensional, layered thinking process inspired by quantum computing concepts. ## Features - Natural language processing using spaCy - Recursive function simulating quantum-inspired thinking processes - OpenAI API integration for generating human-like text - Flask web interface with input fields for text processing - Multi-dimensional, layered thinking simulation ## Requirements - Python 3.x - Flask - spaCy (with the English model) - OpenAI Python client - requests ## Installation on Replit 1. **Create a new Replit project** - Choose Python as the language 2. **Install dependencies** ``` pip install flask spacy openai python -m spacy download en_core_web_sm ``` 3. **Set up your OpenAI API key** - In Replit, go to the "Secrets" tab in the Tools panel - Add a new secret with the key `OPENAI_API_KEY` and your OpenAI API key as the value 4. **Run the application** - Click the "Run" button in Replit - The application will be available at `https://your-repl-name.your-username.repl.co` ## Usage 1. Enter text in the input field 2. Select the depth of quantum analysis (1-4 dimensions) 3. Toggle the option to use OpenAI for enhanced analysis 4. Click "Analyze Text" to process the input 5. View the results in the three results sections: - NLP Analysis - Quantum Thinking Results - AI Analysis (if OpenAI is enabled) ## How It Works ### NLP Processing The application uses spaCy to process text input, extracting: - Named entities - Part-of-speech tags - Noun chunks - Text statistics ### Quantum-Inspired Recursive Thinking The recursive function simulates a multi-dimensional, layered thinking process by: 1. Extracting key concepts from the input text 2. For each concept, creating a "thought path" for recursive exploration 3. Applying "superposition" by allowing paths to influence each other 4. Synthesizing meta-insights from all paths 5. Computing a "quantum probability" score ### OpenAI Integration When enabled, the application: 1. Creates a prompt that incorporates the quantum thinking results 2. Sends the prompt to OpenAI's API 3. Displays the AI-generated response ## Project Structure - `main.py`: Entry point for the application - `app.py`: Main Flask application code - `nlp_processor.py`: spaCy NLP processing functions - `quantum_thinking.py`: Quantum-inspired recursive thinking implementation - `openai_integration.py`: Functions for working with the OpenAI API - `templates/`: HTML templates for the web interface - `static/`: CSS and JavaScript files ## License This project is open-source and available under the MIT License.