Clone the Github repo "own_javascript_ai" to your local machine.
Open a terminal and navigate to the directory where the repo was cloned.
Install the necessary dependencies by running the command "npm install".
Install Vite globally by running the command "npm install -g vite".
Navigate to the "own_javascript_ai" directory in your terminal.
Run the command "vite" to start the Vite server.
Open your preferred code editor and modify the React app's code to import and use the JavaScript AI model. This may involve creating a new component that utilizes the AI model, or modifying an existing component.
Make sure to save your changes.
View the app in your browser by navigating to "http://localhost:5173".
Identifying the different microservices in the "own_javascript_ai" project will depend on the specific architecture and design of the project. Here are some examples of potential microservices:
AI model microservice: This microservice could handle the machine learning model and its inference, exposing an API endpoint for other services to consume.
User interface microservice: This microservice could handle the user interface and frontend logic, communicating with other services to fetch data and process requests.
Data storage microservice: This microservice could handle storing and retrieving data, potentially using a database management system or file storage service.
API gateway microservice: This microservice could act as a single entry point for external traffic to the various microservices, providing routing and load balancing functionality.
Containerize the microservices: Here's an example Dockerfile for containerizing the AI model microservice:
FROM python:3.8-slim-buster
RUN apt-get update && apt-get install -y libgl1-mesa-glx
COPY requirements.txt app/ COPY app.py app/
WORKDIR /app RUN pip install -r requirements.txt
EXPOSE 5000
CMD ["python", "app.py"]