Creating an AI-Powered Assistant App on monday.com with Google Vertex PaLM API
monday.com is a cloud-based work operating system that facilitates the creation of custom applications and project management software. This all-in-one work management platform empowers teams to streamline their workflows, collaborate seamlessly, and manage complex projects efficiently. Coupling monday.com with Google's advanced PaLM2 language model, which excels in natural language processing and understanding, leads to powerful new capabilities for project management and productivity.
Prerequisites
To harness Google Vertex PaLM API, you first need to join the waitlist.
What You'll Learn
- Creating a React App
- Styling the App with Tailwind CSS
- Developing a Custom API using FastAPI
- Working with GraphQL
- Handling Requests and Responses
- Managing PDF Files
- Building an App on monday.com
- Integrating Google Vertex PaLM API with monday.com
- Publishing the App on monday.com
Step 1: Create a New Project
First, let's set up our project. Open Visual Studio Code, create a new folder named monday-palm-tutorial
, or choose a name that suits you.
Step 2: Create React App
Open your terminal and run the following command to create a new React App:
npx create-react-app monday-palm-app
Step 3: Install Tailwind CSS
Next, we need to install Tailwind CSS. Run the following command in the terminal:
npm install -D tailwindcss@latest postcss@latest autoprefixer@latest
Step 4: Configure Tailwind CSS
Open tailwind.config.js
and replace the existing code with the necessary configurations for Tailwind.
Step 5: Add Tailwind Directives
Add the Tailwind directives into your CSS. Open src/index.css
and replace its content with the following:
@tailwind base;
@tailwind components;
@tailwind utilities;
Step 6: Create the UI Interface
Set up the main UI interface by modifying the src/App.js
file as follows:
// Your JSX code here
This sets up our initial state and renders the components.
Step 7: Implement Application Logic
Using the useState
hook, maintain the application state, and useEffect
to fetch data from the monday.com API. Create functions to handle requests and responses.
Step 8: Create Dropdown Menus and Handle Selections
- Create a dropdown to select boards, items, and files with appropriate event handlers.
- Implement functions to handle text input and file selections.
Step 9: Test the App
Run the frontend server:
npm start
Ensure that the interface is responsive, and the user interactions are functioning correctly.
Step 10: Create a Custom API Endpoint (FastAPI)
Create a directory named backend
within your project folder. Inside, create api.py
to define your FastAPI server:
from fastapi import FastAPI
app = FastAPI()
@app.get("/items/{item_id}")
async def read_item(item_id: int):
return {"item_id": item_id}
Step 11: Implement Functions to Interface with PaLM API
In palm.py
, create functions to send requests to the Google Vertex PaLM API and retrieve responses.
Step 12: Start the Backend Server
Run the following command to start the backend server:
uvicorn api:app --reload
Conclusion
Congratulations! You have successfully built a full-stack application integrating monday.com with Google Vertex PaLM API. To learn more about publishing your app on monday.com, check out our detailed tutorial.
Feel free to explore the complete source code for further insights. Thank you for joining us in this tutorial!
For further reading, visit: monday.com + Stable Diffusion Tutorial.
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