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---
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:
```bash
pip install -r requirements.txt
```
### 2. Model Training
To train the model, run:
```bash
python app.py
```
### 3. API Integration
The project includes a Flask API for storing and retrieving model predictions.
**API Setup:**
1. Install Flask and necessary libraries:
```bash
pip install flask flask_sqlalchemy flask_cors
```
2. Configure your database URI in `api.py`.
3. Run the Flask API:
```bash
python api.py
```
### 4. Gradio Interface
To launch the Gradio interface:
```bash
python app.py
```
### Directory Structure
```
agentic_uann_model/
├── app.py
├── api.py
├── requirements.txt
└── models/
└── model_files/
```
## Deployment
1. Push your repository to Hugging Face Spaces.
2. Navigate to Hugging Face Spaces and create a new Space.
3. Select "Gradio" as the framework.
4. Connect your GitHub repository or upload the files directly.
5. 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](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. |