Category: ChatGPT

Step to call ChatGpt API by Curl, SpringBoot, Python, Nodejs, C#

Call ChatGPT by curl

Here are the steps to call the ChatGPT API:

Make sure you have curl installed on your computer. If you don’t have curl, you can install it by running sudo apt-get install curl on a Debian-based Linux distribution, or by downloading it from the official website (https://curl.haxx.se/) and following the installation instructions.

Determine the API endpoint for the ChatGPT API. This is the URL that you will send the curl request to. The endpoint may be provided by the API provider, or you may need to look it up in the API documentation.

Choose the prompt text that you want to send to ChatGPT. This can be any text that you want ChatGPT to generate a response for.

Determine the maximum number of tokens (i.e., words and punctuation) you want ChatGPT to generate in its response. This value is specified in the max_tokens parameter in the curl command.

Use the following curl command to send the request to the ChatGPT API:

curl -X POST -H "Content-Type: application/json" -d '{"prompt": "YOUR_PROMPT_HERE", "max_tokens": MAX_TOKENS}' API_ENDPOINT

Replace YOUR_PROMPT_HERE with the prompt text you want to send, MAX_TOKENS with the maximum number of tokens you want ChatGPT to generate, and API_ENDPOINT with the actual endpoint for the ChatGPT API.

The ChatGPT API will return a response in JSON format, which will include the generated text in the response field. You can parse the JSON response and extract the generated text for further processing or display.
For example, to parse the JSON response and print the generated text, you can use the following command:

response=$(curl -X POST -H "Content-Type: application/json" -d '{"prompt": "YOUR_PROMPT_HERE", "max_tokens": MAX_TOKENS}' API_ENDPOINT)
echo $(jq -r '.response' <<< "$response")

This will send the request to the ChatGPT API and store the response in the response variable, then use the jq command to extract the response field from the JSON and print it to the console. Make sure you have jq installed on your system.

Call ChatAPI by SpringBoot Java

To call the ChatGPT API from a Spring Boot Java API, you can use the RestTemplate class to send an HTTP POST request with a JSON payload containing the prompt and the maximum number of tokens you want ChatGPT to generate.

Here's an example of how you can do this:

import org.springframework.web.client.RestTemplate;

// ...

@Autowired
private RestTemplate restTemplate;

// ...

public void callChatGptApi() {
    // Set the API endpoint and the prompt text
    String apiEndpoint = "API_ENDPOINT";
    String prompt = "YOUR_PROMPT_HERE";
    int maxTokens = MAX_TOKENS;  // Set the maximum number of tokens

    // Create the JSON payload
    Map payload = new HashMap<>();
    payload.put("prompt", prompt);
    payload.put("max_tokens", maxTokens);

    // Set the headers for the request
    HttpHeaders headers = new HttpHeaders();
    headers.setContentType(MediaType.APPLICATION_JSON);

    // Create the request entity
    HttpEntity> requestEntity = new HttpEntity<>(payload, headers);

    // Send the POST request and store the response
    ResponseEntity response = restTemplate.postForEntity(apiEndpoint, requestEntity, Map.class);

    // Extract the response from the JSON object
    String responseText = (String) response.getBody().get("response");

    // Print the response
    System.out.println(responseText);
}

Make sure to replace API_ENDPOINT with the actual endpoint for the ChatGPT API, and YOUR_PROMPT_HERE and MAX_TOKENS with the prompt text and maximum number of tokens you want to use.

This code will send a POST request to the ChatGPT API with the specified prompt and maximum number of tokens, and print the generated response to the console.

Call ChatGPT by Python Code

To call the ChatGPT API from Python, you can use the requests library to send an HTTP POST request with a JSON payload containing the prompt and the maximum number of tokens you want ChatGPT to generate.

Here's an example of how you can do this:

import requests

# Set the API endpoint and the prompt text
api_endpoint = "API_ENDPOINT"
prompt = "YOUR_PROMPT_HERE"
max_tokens = MAX_TOKENS  # Set the maximum number of tokens

# Create the JSON payload
payload = {
    "prompt": prompt,
    "max_tokens": max_tokens
}

# Set the headers for the request
headers = {
    "Content-Type": "application/json"
}

# Send the POST request and store the response
response = requests.post(api_endpoint, json=payload, headers=headers)

# Extract the response from the JSON object
response_text = response.json()["response"]

# Print the response
print(response_text)

Make sure to replace API_ENDPOINT with the actual endpoint for the ChatGPT API, and YOUR_PROMPT_HERE and MAX_TOKENS with the prompt text and maximum number of tokens you want to use.

This code will send a POST request to the ChatGPT API with the specified prompt and maximum number of tokens, and print the generated response to the console.

call ChatGPT API by Nodejs code

To call the ChatGPT API from Node.js, you can use the request library to send an HTTP POST request with a JSON payload containing the prompt and the maximum number of tokens you want ChatGPT to generate.

Here's an example of how you can do this:

const request = require("request");

// Set the API endpoint and the prompt text
const apiEndpoint = "API_ENDPOINT";
const prompt = "YOUR_PROMPT_HERE";
const maxTokens = MAX_TOKENS;  // Set the maximum number of tokens

// Create the JSON payload
const payload = {
  prompt: prompt,
  max_tokens: maxTokens
};

// Set the headers for the request
const headers = {
  "Content-Type": "application/json"
};

// Send the POST request
request.post(
  {
    url: apiEndpoint,
    json: payload,
    headers: headers
  },
  (error, response, body) => {
    // Check for errors
    if (error) {
      console.error(error);
      return;
    }

    // Extract the response from the JSON object
    const responseText = body.response;

    // Print the response
    console.log(responseText);
  }
);

Make sure to replace API_ENDPOINT with the actual endpoint for the ChatGPT API, and YOUR_PROMPT_HERE and MAX_TOKENS with the prompt text and maximum number of tokens you want to use.

This code will send a POST request to the ChatGPT API with the specified prompt and maximum number of tokens, and print the generated response to the console.

call ChatGPT API by C# code

To call the ChatGPT API from C#, you can use the HttpClient class to send an HTTP POST request with a JSON payload containing the prompt and the maximum number of tokens you want ChatGPT to generate.

Here's an example of how you can do this:

using System.Net.Http;
using Newtonsoft.Json;

// ...

// Set the API endpoint and the prompt text
string apiEndpoint = "API_ENDPOINT";
string prompt = "YOUR_PROMPT_HERE";
int maxTokens = MAX_TOKENS;  // Set the maximum number of tokens

// Create the JSON payload
var payload = new {
  prompt = prompt,
  max_tokens = maxTokens
};

// Set the headers for the request
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Content-Type", "application/json");

// Serialize the payload to a JSON string
var jsonPayload = JsonConvert.SerializeObject(payload);

// Create the request content
var content = new StringContent(jsonPayload, Encoding.UTF8, "application/json");

// Send the POST request and store the response
var response = await client.PostAsync(apiEndpoint, content);

// Read the response content
var responseContent = await response.Content.ReadAsStringAsync();

// Deserialize the response to a dynamic object
dynamic responseObject = JsonConvert.DeserializeObject(responseContent);

// Extract the response from the JSON object
string responseText = responseObject.response;

// Print the response
Console.WriteLine(responseText);

Make sure to replace API_ENDPOINT with the actual endpoint for the ChatGPT API, and YOUR_PROMPT_HERE and MAX_TOKENS with the prompt text and maximum number of tokens you want to use.

This code will send a POST request to the ChatGPT API with the specified prompt and maximum number of tokens, and print the generated response to the console.