Here’s an example of how you might create a Node.js application that runs OpenAI’s GPT-3 model inside a Docker container:
First, you’ll need to create a new Node.js project and install the necessary packages. In the project’s root directory, run the following commandsnpm init
npm install openai
Create a new file called index.js and add the following code to it
codeconst openai = require('openai');
openai.apiKey = "YOUR_API_KEY";
const prompt = "What can you tell me about artificial intelligence?";
openai.completions.create({
engine: "text-davinci-002",
prompt: prompt,
maxTokens: 2048,
n: 1,
stop: "."
}, (error, response) => {
if(!error) {
console.log(response.choices[0].text);
} else {
console.log(error);
}
});
You will need to add yout OpenAI apiKey
Now you can create a Dockerfile in the root of the project:
codeFROM node:14-alpine
# Create app directory
WORKDIR /usr/src/app
# Install app dependencies
COPY package*.json ./
RUN npm install
# Bundle app source
COPY . .
CMD [ "node", "index.js" ]
Build the image and start the container. To build the image, open the terminal and run the following command in the root of the project:
Codedocker build -t openai-gpt3-chatbot .
This command will create an image named openai-gpt3-chatbot. Once the image is built, you can start the container with the following command:
codedocker run -it openai-gpt3-chatbot
check the output, if there are no errors, you will see a generated text based on the prompt you added in the code.
Please keep in mind this is just an example and you would have to further develop, add more functionality and test the code before deploying to a production environment