Creating AI-Generated Videos

I really need to do a screen share with someone, to answer this question. thanks.

Hi Ron Gerber Angelbeat

Please share the details requested in private message.

Hi Ron Gerber Angelbeat,

I understand getting started with AI-generated videos can be challenging, and I’m happy to help. Please use the example below as a reference for creating videos with Azure OpenAI (Sora). You only need to update your resource name and API key:

import requests
import os
import time


api_key = "<YOUR-API-KEY>"
endpoint = "https://<YOUR-RESOURCE NAME>.openai.azure.com/"

if not api_key:
    raise ValueError("Environment variable 'AZURE_OPENAI_API_KEY' is not set.")
if not endpoint:
    raise ValueError("Environment variable 'AZURE_OPENAI_ENDPOINT' is not set.")

api_version = 'preview'
headers = { "api-key": api_key, "Content-Type": "application/json" }
output_filename = "output.mp4" 


create_url = f"{endpoint}/openai/v1/video/generations/jobs?api-version={api_version}"

body = {
    "prompt": "A stylish woman walking down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse. She wears sunglasses and red lipstick. She walks confidently and casually. The street is damp and reflective, creating a mirror effect of the colorful lights. Many pedestrians walk about.",
    "width": 1280,   
    "height": 720,  
    "n_seconds": 10,  
    "model": "sora"  
}

print("Starting video generation job...")
try:
    response = requests.post(create_url, headers=headers, json=body)
    response.raise_for_status()  

    job_id = response.json()["id"]
    print(f"Job created successfully. Job ID: {job_id}")
    
    status_url = f"{endpoint}/openai/v1/video/generations/jobs/{job_id}?api-version={api_version}"
    status = None
    
    while status not in ("succeeded", "failed", "cancelled"):
        print("Polling for job status... (current: {})".format(status or "queued"))
        time.sleep(10)  
        
        status_response = requests.get(status_url, headers=headers)
        status_response.raise_for_status()
        
        status_data = status_response.json()
        status = status_data.get("status")

    print(f"Job finished with status: {status}")

    if status == "succeeded":
        generations = status_data.get("generations", [])
        if generations:
            print(" Video generation succeeded.")
            generation_id = generations[0].get("id")
            
            video_url = f"{endpoint}/openai/v1/video/generations/{generation_id}/content/video?api-version={api_version}"
            
            print(f"Downloading video from: {video_url}")
            video_response = requests.get(video_url, headers=headers)
            video_response.raise_for_status()

            with open(output_filename, "wb") as file:
                file.write(video_response.content)
            print(f'Generated video saved locally as "{output_filename}"')
            
        else:
            print("Error: Job succeeded but no video generation data was found.")
            
    else:
        failure_reason = status_data.get("failure_reason")
        raise Exception(f"Job did not succeed. Final Status: {status}. Reason: {failure_reason}")

except requests.exceptions.RequestException as e:
    print(f"An error occurred: {e}")
    if e.response is not None:
        print(f"Error details: {e.response.text}")

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