metadata

license: apache-2.0
datasets:
  - stanfordnlp/imdb
  - uoft-cs/cifar10
  - superlazycoder/slc-titanic
language:
  - en
metrics:
  - bertscore
library_name: transformers
pipeline_tag: text-generation
tags:
  - code
  - medical

Agentic Unified Mind UANN

This repository contains the implementation of the Agentic Unified Mind Universal Adaptive Neural Network (UANN), a multi-modal AI model designed to integrate text, image, and structured data processing. The model uses advanced neural network architectures and reinforcement learning to deliver robust performance across various applications.

Model Description

The Agentic Unified Mind UANN integrates:

Text processing using BERT.
Image processing using ResNet50.
Structured data processing with dense neural networks.
Reinforcement learning for autonomous decision-making.

Features

Multi-modal Inputs: Handles text, images, and structured data.
Advanced Neural Network Architectures: Uses BERT for text, ResNet50 for images, and dense layers for structured data.
Unified Cognitive Framework: Combines information from multiple modalities for better decision-making.
Reinforcement Learning: Enhances the model's ability to learn and adapt from interactions.

Setup

1. Installation

Install the required dependencies:

pip install -r requirements.txt

2. Model Training

To train the model, run:

python app.py

3. API Integration

The project includes a Flask API for storing and retrieving model predictions.

API Setup:

Install Flask and necessary libraries:

pip install flask flask_sqlalchemy flask_cors

Configure your database URI in api.py.
Run the Flask API:
```
python api.py
```

4. Gradio Interface

To launch the Gradio interface:

python app.py

Directory Structure

agentic_uann_model/
├── app.py
├── api.py
├── requirements.txt
└── models/
    └── model_files/

Deployment

Push your repository to Hugging Face Spaces.
Navigate to Hugging Face Spaces and create a new Space.
Select "Gradio" as the framework.
Connect your GitHub repository or upload the files directly.
Choose the desired hardware, such as an A100 40GB GPU.

Usage

Chat Interface: Interact with the model using a chat interface.
Code Execution: Execute code snippets and view outputs.

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for more details.

By following this guide, you will be able to set up and deploy the Agentic Unified Mind UANN, leveraging its multi-modal processing capabilities and reinforcement learning framework.