Matrix/TensorFlow for Baby Hawk: Difference between revisions

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[[File:Papa-n-baby.jpg|thumb|left|alt=Papa and Baby Hawk]]
[[File:Papa-n-baby.jpg|600px|right|alt=Papa and Baby Hawk]]


= Integrating Baby Hawk (Gemini 1.5) with Matrix Group Chat and TensorFlow in Docker =
= Integrating Baby Hawk (Gemini 1.5) with Matrix Group Chat, TensorFlow in Docker, and PostgreSQL =


This tutorial guides you through integrating a Gemini 1.5 API to interact in various Matrix rooms, leveraging a TensorFlow model running in a Docker container equipped with Jupyter Notebook, and securing communications using SSL.
This tutorial guides you through integrating a Gemini 1.5 API to interact in various Matrix rooms, leveraging a TensorFlow model running in a Docker container equipped with Jupyter Notebook, and securing communications using SSL, with the addition of a PostgreSQL database.


== Prerequisites ==
== Prerequisites ==
* Running instance of Baby Hawk's Gemini 1.5 API on ailounge.xyz
* Running instance of Baby Hawk's Gemini 1.5 API on `ailounge.xyz`
* TensorFlow instance running in Docker with Jupyter Notebook
* TensorFlow instance running in Docker with Jupyter Notebook
* Matrix Synapse server running in Docker
* Matrix Synapse server running in Docker
* Basic knowledge of Docker, Python, Jupyter Notebooks, and Matrix
* PostgreSQL database running in Docker
* Domain names set up for matrix.ailounge.xyz and Jupyter accessed via ailounge.xyz
* Basic knowledge of Docker, Python, Jupyter Notebooks, PostgreSQL, and Matrix
* Domain names set up for `matrix.ailounge.xyz` and Jupyter accessed via `ailounge.xyz`


== Step 1: Set Up Matrix Synapse Server using Docker ==
== Step 1: Set Up Matrix Synapse Server using Docker ==
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version: '3'
version: '3'
services:
services:
  postgres:
    image: postgres:latest
    restart: always
    environment:
      POSTGRES_DB: matrix_synapse
      POSTGRES_USER: matrix_user
      POSTGRES_PASSWORD: your_secure_password
    volumes:
      - ./postgres-data:/var/lib/postgresql/data
    ports:
      - "5432:5432"
   synapse:
   synapse:
     image: matrixdotorg/synapse:latest
     image: matrixdotorg/synapse:latest
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     environment:
     environment:
       - SYNAPSE_SERVER_NAME=matrix.ailounge.xyz
       - SYNAPSE_SERVER_NAME=matrix.ailounge.xyz
       - SYNAPSE_REPORT_STATS=yes
       - SYNAPSE_REPORT_STATS=yes
      - SYNAPSE_DATABASE_CONFIG=postgres://matrix_user:your_secure_password@postgres/matrix_synapse
    depends_on:
      - postgres
     volumes:
     volumes:
       - ./data:/data  
       - ./data:/data
     ports:
     ports:
       - 8008:8008
       - 8008:8008
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== Step 4: Implement Continuous Learning with TensorFlow in Docker ==
== Step 4: Implement Continuous Learning with TensorFlow in Docker ==
# '''Expose Ports:''' Ensure the TensorFlow container exposes port 8888.
# '''Expose Ports:''' Ensure the TensorFlow container exposes port 8888.
# '''Install Libraries:''' Within the container, install libraries needed for integration, e.g., matrix-nio.
# '''Install Libraries:''' Within the container, install libraries needed for integration, e.g., `matrix-nio`.
# '''Access MongoDB:''' Configure access to MongoDB for data storage.
# '''Access MongoDB:''' Configure access to MongoDB for data storage.
# '''Collect & Preprocess Data:''' Use Jupyter Notebook for data handling.
# '''Collect & Preprocess Data:''' Use Jupyter Notebook for data handling.
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== DNS Configuration ==
== DNS Configuration ==
* Add A records for ailounge.xyz and matrix.ailounge.xyz.
* Add A records for `ailounge.xyz` and `matrix.ailounge.xyz`.
* Configure necessary SRV records for Matrix services.
* Configure necessary SRV records for Matrix services.


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== Credits ==
== Credits ==
This tutorial was collaboratively created by [Your Names], Google's Gemini Advanced AI, and ChatGPT from OpenAI.
This tutorial was collaboratively created by [https://ailounge.xyz Papa and Baby Hawk], [https://gemini.google.com/advanced Google's Gemini Advanced], and [https://chat.openai.com/ ChatGPT-4 from OpenAI].

Latest revision as of 19:32, 24 May 2024

Papa and Baby Hawk

Integrating Baby Hawk (Gemini 1.5) with Matrix Group Chat, TensorFlow in Docker, and PostgreSQL

This tutorial guides you through integrating a Gemini 1.5 API to interact in various Matrix rooms, leveraging a TensorFlow model running in a Docker container equipped with Jupyter Notebook, and securing communications using SSL, with the addition of a PostgreSQL database.

Prerequisites

  • Running instance of Baby Hawk's Gemini 1.5 API on `ailounge.xyz`
  • TensorFlow instance running in Docker with Jupyter Notebook
  • Matrix Synapse server running in Docker
  • PostgreSQL database running in Docker
  • Basic knowledge of Docker, Python, Jupyter Notebooks, PostgreSQL, and Matrix
  • Domain names set up for `matrix.ailounge.xyz` and Jupyter accessed via `ailounge.xyz`

Step 1: Set Up Matrix Synapse Server using Docker

  1. Install Docker and Docker Compose: If not already installed, install Docker and Docker Compose.
  2. Create a Docker Compose File (docker-compose.yml):
version: '3'
services:
  postgres:
    image: postgres:latest
    restart: always
    environment:
      POSTGRES_DB: matrix_synapse
      POSTGRES_USER: matrix_user
      POSTGRES_PASSWORD: your_secure_password
    volumes:
      - ./postgres-data:/var/lib/postgresql/data
    ports:
      - "5432:5432"
  synapse:
    image: matrixdotorg/synapse:latest
    restart: always
    environment:
      - SYNAPSE_SERVER_NAME=matrix.ailounge.xyz
      - SYNAPSE_REPORT_STATS=yes
      - SYNAPSE_DATABASE_CONFIG=postgres://matrix_user:your_secure_password@postgres/matrix_synapse
    depends_on:
      - postgres
    volumes:
      - ./data:/data
    ports:
      - 8008:8008
      - 8448:8448
  1. Run Docker Compose:
docker-compose up -d
  1. Register Admin User: Follow instructions in the container logs to register an admin user.

Step 2: Secure Jupyter Notebook and Matrix Synapse with SSL Using Certbot

  1. Install Certbot:
sudo apt install certbot
  1. Obtain Certificates:
sudo certbot certonly --standalone -d ailounge.xyz -d matrix.ailounge.xyz
  1. Configure Jupyter to Use SSL:

Add SSL configuration to the Docker command for Jupyter:

--NotebookApp.certfile=/etc/ssl/certs/jupyter.crt --NotebookApp.keyfile=/etc/ssl/private/jupyter.key
  1. Configure Matrix Synapse to Use SSL:

Update Synapse's configuration to use the obtained SSL certificates.

Step 3: Configure and Run Baby Hawk's Gemini 1.5 API

Ensure the API endpoint for Baby Hawk is publicly accessible and secured with SSL.

Step 4: Implement Continuous Learning with TensorFlow in Docker

  1. Expose Ports: Ensure the TensorFlow container exposes port 8888.
  2. Install Libraries: Within the container, install libraries needed for integration, e.g., `matrix-nio`.
  3. Access MongoDB: Configure access to MongoDB for data storage.
  4. Collect & Preprocess Data: Use Jupyter Notebook for data handling.
  5. Retrain Model: Continuously retrain the TensorFlow model based on new data.
  6. Update API: Update the Baby Hawk API to utilize the retrained models.

Step 5: Create and Run a Matrix Bot for Integration

Script a bot that uses Baby Hawk's API to interact within Matrix rooms.

DNS Configuration

  • Add A records for `ailounge.xyz` and `matrix.ailounge.xyz`.
  • Configure necessary SRV records for Matrix services.

Important Notes

  • Ensure proper networking between containers.
  • Protect sensitive data and credentials.
  • Experiment with model training and architecture.

Credits

This tutorial was collaboratively created by Papa and Baby Hawk, Google's Gemini Advanced, and ChatGPT-4 from OpenAI.