update deploy buttons

Author: raphaeltm

.devcontainer/Dockerfile

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+
+FROM mcr.microsoft.com/devcontainers/typescript-node:22-bookworm

.devcontainer/devcontainer.json

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+{
+  "build": {
+    "dockerfile": "Dockerfile",
+    "context": ".."
+  },
+  "features": {
+    "ghcr.io/defanglabs/devcontainer-feature/defang-cli:1.0.4": {},
+    "ghcr.io/devcontainers/features/docker-in-docker:2": {},
+    "ghcr.io/devcontainers/features/aws-cli:1": {}
+  }
+}

.github/workflows/deploy.yaml

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+name: Deploy
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  deploy:
+    environment: playground
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      id-token: write
+
+    steps:
+    - name: Checkout Repo
+      uses: actions/checkout@v4
+
+    - name: Deploy
+      uses: DefangLabs/[email protected]

README.md

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+# Node.js & OpenAI
+
+[![1-click-deploy](https://defang.io/deploy-with-defang.svg)](https://portal.defang.dev/redirect?url=https%3A%2F%2Fgithub.com%2Fnew%3Ftemplate_name%3Dsample-nodejs-openai-template%26template_owner%3DDefangSamples)
+
+## Setup
+
+This sample requires an API key to access the OpenAI API. The name of the config value is referenced in the compose.yaml file.
+To provide a value for it, you can use the Defang CLI like this:
+
+```
+
+defang config set --name OPENAI_KEY
+```
+
+and then enter the value when prompted.
+
+## Testing
+
+```
+echo "Hello" | curl -H "Content-Type: text/plain" -d @- https://xxxxxxxx/prompt
+```
+
+or
+
+```
+cat prompt.txt | curl -H "Content-Type: application/text" -d @- https://xxxxxxxx/prompt
+```
+
+---
+
+Title: Node.js & OpenAI
+
+Short Description: A simple Node.js application that interacts with the OpenAI API.
+
+Tags: Node.js, OpenAI, API, JavaScript
+
+Languages: nodejs

app/Dockerfile

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+# Use the slim version of Node.js on Debian Bookworm as the base image
+FROM node:20-bookworm-slim
+
+RUN apt-get update -qq \
+      && apt-get install -y curl \
+      && apt-get clean \
+      && rm -rf /var/lib/apt/lists/*
+
+# Set the working directory to /app
+WORKDIR /app
+
+# Copy package.json and package-lock.json into the container at /app
+COPY package*.json ./
+
+# Install any needed packages specified in package.json using npm ci for a clean install
+RUN npm ci
+
+# Copy the current directory contents into the container at /app
+COPY . .
+
+# Make port 3000 available to the world outside this container
+EXPOSE 3000
+
+# Run the app when the container launches
+ENTRYPOINT ["node", "main.js"]

app/main.js

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+const express = require('express');
+const axios = require('axios');
+const bodyParser = require('body-parser');
+
+const app = express();
+app.use(bodyParser.text());
+
+app.get('/', (req, res) => {
+  res.json({status: 'ok'});
+});
+
+app.post('/prompt', async (req, res) => {
+  const promptText = req.body;
+  
+  const messages = [
+    // {role: 'system', content: 'You are an experienced software engineer.'},
+    {role: 'user', content: promptText},
+  ];
+
+  const apiKey = process.env.OPENAI_KEY;
+  const url = 'https://api.openai.com/v1/chat/completions';
+
+  const postBody = {
+    model: 'gpt-3.5-turbo',
+    messages: messages,
+  };
+
+  const headers = {
+    'Content-Type': 'application/json',
+    'Authorization': `Bearer ${apiKey}`
+  };
+
+  try {
+    const response = await axios.post(url, postBody, {headers: headers});
+    res.json({status: 'ok', response: response.data});
+  } catch (error) {
+    console.error(error);
+    res.status(500).json({status: 'error', message: error.message});
+  }
+});
+
+app.listen(3000, () => {
+  console.log('Server running on port 3000');
+});