Give me code pls

[split ruin]

Hi @narrow egret. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

---

Certainly! Here’s a simple example of how to use the OpenAI API in Python to generate text with GPT-5. This code will send a prompt to the model and print the response:

from openai import OpenAI
client = OpenAI()

response = client.responses.create(
    model="gpt-5",
    input="Write a one-sentence bedtime story about a unicorn."
)

print(response.output_text)

Make sure you have installed the OpenAI SDK with:

pip install openai

And set your API key as an environment variable named OPENAI_API_KEY before running the script.

If you want a JavaScript example, here’s how you can do it with Node.js:

import OpenAI from "openai";
const client = new OpenAI();

const response = await client.responses.create({
    model: "gpt-5",
    input: "Write a one-sentence bedtime story about a unicorn."
});

console.log(response.output_text);

Install the SDK with:

npm install openai

These examples are directly from the official OpenAI documentation and will get you started quickly Developer quickstart.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

@narrow egret Kapa.ai is still learning and improving, please let me know how I did by reacting below.

Let me check the knowledge base for you again. One moment! :books:

---

Certainly! Here is example code for generating a video using the Sora 2 model via the OpenAI API in Python, as provided in the official documentation:

from openai import OpenAI

openai = OpenAI()

video = openai.videos.create(
    model="sora-2",
    prompt="A video of a cool cat on a motorcycle in the night",
)

print("Video generation started:", video)

You can monitor the progress and download the final MP4 once the job is completed. Here’s a more complete example that polls for status and downloads the video:

from openai import OpenAI
import sys
import time

openai = OpenAI()

video = openai.videos.create(
    model="sora-2",
    prompt="A video of a cool cat on a motorcycle in the night",
)

print("Video generation started:", video)

progress = getattr(video, "progress", 0)
bar_length = 30

while video.status in ("in_progress", "queued"):
    # Refresh status
    video = openai.videos.retrieve(video.id)
    progress = getattr(video, "progress", 0)

    filled_length = int((progress / 100) * bar_length)
    bar = "=" * filled_length + "-" * (bar_length - filled_length)
    status_text = "Queued" if video.status == "queued" else "Processing"

    sys.stdout.write(f"\r{status_text}: [{bar}] {progress:.1f}%")
    sys.stdout.flush()
    time.sleep(2)

# Move to next line after progress loop
sys.stdout.write("\n")

if video.status == "failed":
    message = getattr(
        getattr(video, "error", None), "message", "Video generation failed"
    )
    print(message)
    exit(1)

print("Video generation completed:", video)
print("Downloading video content...")

content = openai.videos.download_content(video.id, variant="video")
content.write_to_file("video.mp4")

print("Wrote video.mp4")

Requirements:

• Install the OpenAI Python SDK:
  pip install openai
• Set your OPENAI_API_KEY as an environment variable.

This code is directly based on the official OpenAI documentation for Sora 2 video generation Video generation with Sora Retrieve results.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

@narrow egret Kapa.ai is still learning and improving, please let me know how I did by reacting below.

[spring anvil]

Hi kapa