Here's a README template for a GitHub project demonstrating JavaScript-to-Python communication using Google Colab as the backend environment. This setup is useful for prototyping or when users want to connect a frontend running in a local or cloud-based environment with a Python backend running on Google Colab.
JavaScript-to-Python Communication (Google Colab Backend) This project demonstrates how to establish communication between JavaScript and Python by running the backend server on Google Colab. This setup allows frontends, like websites or web applications, to interact with Python code running in Colab, leveraging Colab’s resources without needing a local Python server.
Features Google Colab as Backend: Uses Google Colab to run a Python backend, accessible via public URL. Ngrok for Tunneling: Colab establishes a public URL using Ngrok to make the Python server accessible to JavaScript. AJAX Requests: JavaScript (using Fetch API) sends requests to the Python server. JSON Communication: Data exchange in JSON format, making it easy for JavaScript to parse and use responses from Python. Prerequisites Google Colab account (free or paid) Ngrok token (required for tunneling) – sign up for a free account to get a token. Project Setup
- Clone This Repository bash Copy code git clone https://github.com/yourusername/javascript-to-python-colab.git cd javascript-to-python-colab
- Prepare the Python Backend on Google Colab Open python_server_colab.ipynb (included in this repository) in Google Colab.
Install Flask and Ngrok in the Colab environment:
python Copy code !pip install flask ngrok Set up Ngrok with your authentication token (replace YOUR_NGROK_TOKEN with your actual token):
python Copy code from pyngrok import ngrok ngrok.set_auth_token("YOUR_NGROK_TOKEN") Start the Flask server with Ngrok to generate a public URL:
python Copy code from flask import Flask, request, jsonify from pyngrok import ngrok
app = Flask(name)
@app.route('/process', methods=['POST']) def process(): data = request.json result = {'message': f"Hello, {data['name']} from Colab!"} return jsonify(result)
public_url = ngrok.connect(5000) print(f"Public URL: {public_url}") app.run(port=5000) Copy the Ngrok public URL displayed in the Colab output. This is the URL that JavaScript will use to communicate with the Python backend.
- Run the Frontend Open index.html in your web browser, or serve it using a local server (e.g., http-server via Node.js).
Edit the script.js file to replace BASE_URL with the Ngrok URL from Colab.
javascript Copy code const BASE_URL = "YOUR_NGROK_PUBLIC_URL"; // Replace this with your Colab public URL Enter a name and click Send to see the JavaScript-to-Python communication in action!
Project Structure graphql Copy code javascript-to-python-colab/ ├── python_server_colab.ipynb # Python backend on Colab (Flask + Ngrok) ├── index.html # HTML for frontend interface ├── script.js # JavaScript to handle frontend logic ├── style.css # Styling (optional) └── README.md # Project documentation Example Code python_server_colab.ipynb This notebook contains the setup for running a Flask server on Google Colab and exposing it via Ngrok.
script.js (JavaScript) javascript Copy code const BASE_URL = "YOUR_NGROK_PUBLIC_URL"; // Replace this with the public URL from Colab
document.getElementById('sendButton').addEventListener('click', async () => {
const name = document.getElementById('nameInput').value;
const response = await fetch(${BASE_URL}/process, {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify({ name: name })
});
const result = await response.json();
document.getElementById('result').innerText = result.message;
}); index.html html Copy code
<title>JavaScript to Python (Colab Backend)</title> Send <script src="script.js"></script> Usage Enter your name in the input field. Click Send to send a request from JavaScript to Python running on Google Colab. The result from Python will display on the webpage. License MIT License