Ddroidlabs-mixture-of-agents

Mixture of Agents Model (MAM) - Full-Stack Development Team

Overview

Folder Structure

mixture_of_agents/
├── app.py
├── colab_notebook.ipynb
├── dataset/
│   └── code_finetune_dataset.json
├── agents/
│   ├── front_end_agent.py
│   ├── back_end_agent.py
│   ├── database_agent.py
│   ├── devops_agent.py
│   └── project_management_agent.py
├── integration/
│   └── integration_layer.py
└── model/
    ├── load_pretrained_model.py
    └── fine_tune_model.py

Setup Instructions

Prerequisites

• Python 3.7 or higher
• Flask
• Google Colab account (for running the notebook)
• Libraries: transformers, datasets, numpy, pandas

Installation

1. Clone the Repository:
   bash

   1git clone https://github.com/your-repo/mixture_of_agents.git 2cd mixture_of_agents
2. Install Required Libraries:
   pip install -r requirements.txt
3. Upload to Google Drive:
   • Upload the mixture_of_agents folder to your Google Drive.
4. Open Colab Notebook:
   • Open colab_notebook.ipynb in Google Colab.

Running the Model

1. Mount Google Drive:
   • Mount your Google Drive in Colab by running the first cell of the notebook:
     python

     1from google.colab import drive 2drive.mount('/content/drive')
2. Install Necessary Packages:
   • Install the required packages in the Colab environment:
     !pip install transformers datasets
3. Load and Fine-Tune the Model:
   • Follow the steps in the Colab notebook to load the pretrained model and fine-tune it using the provided dataset:
     python

     1from model.load_pretrained_model import load_model_and_tokenizer 2model, tokenizer = load_model_and_tokenizer() 3 4from model.fine_tune_model import fine_tune_model 5fine_tune_model(model, tokenizer, '/content/drive/MyDrive/mixture_of_agents/dataset/code_finetune_dataset.json')
4. Initialize and Use the Agents:
   • Initialize the agents and use the integration layer to process tasks:
     python

     1from agents.front_end_agent import FrontEndAgent 2from agents.back_end_agent import BackEndAgent 3from agents.database_agent import DatabaseAgent 4from agents.devops_agent import DevOpsAgent 5from agents.project_management_agent import ProjectManagementAgent 6from integration.integration_layer import IntegrationLayer 7 8front_end_agent = FrontEndAgent(model, tokenizer) 9back_end_agent = BackEndAgent(model, tokenizer) 10database_agent = DatabaseAgent(model, tokenizer) 11devops_agent = DevOpsAgent(model, tokenizer) 12project_management_agent = ProjectManagementAgent(model, tokenizer) 13integration_layer = IntegrationLayer(front_end_agent, back_end_agent, database_agent, devops_agent, project_management_agent) 14 15task_data = {'task': 'Create a responsive website layout'} 16result = integration_layer.process_task('front_end', task_data) 17print(result)

Running the Web Application

1. Ensure All Agent Files and Integration Layer Are Available:
   • Make sure the agents and integration directories with their respective Python files (front_end_agent.py, back_end_agent.py, database_agent.py, devops_agent.py, project_management_agent.py, and integration_layer.py) are in the same directory as app.py.
2. Run the Application:
   • Execute the app.py script to start the Flask web server:
     python app.py
3. Using the API:
   • Open your web browser and navigate to http://127.0.0.1:5000/ to see the welcome message.
   • Use a tool like curl or Postman to send a POST request to the /process endpoint with JSON payload to process tasks.

Example POST Request

Agent Descriptions

Front-End Agent

• File: agents/front_end_agent.py
• Responsibilities: UI/UX design, HTML, CSS, JavaScript frameworks (React, Vue).

Back-End Agent

• File: agents/back_end_agent.py
• Responsibilities: Server-side logic, API development, frameworks like Node.js, Django.

Database Agent

• File: agents/database_agent.py
• Responsibilities: Database design, query optimization, data migration.

DevOps Agent

• File: agents/devops_agent.py
• Responsibilities: CI/CD pipelines, server management, deployment automation.

Project Management Agent

• File: agents/project_management_agent.py
• Responsibilities: Requirement gathering, task management, progress tracking.

Integration Layer

• File: integration/integration_layer.py
• Responsibilities: Ensures seamless communication and coordination between agents.

Fine-Tuning Dataset

Dataset File

• File: dataset/code_finetune_dataset.json
• Description: Contains examples of various coding tasks to fine-tune the model for development-related tasks.

Contributing

License

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