HappyHorse API:
توليد الفيديو بالذكاء الاصطناعي من Alibaba

import requests, time

API_KEY = "your_chinamodelapi_key"
BASE_URL = "https://api.chinamodelapi.com/v1"
HEADERS = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

# Step 1: Submit HappyHorse video generation task
payload = {
    "model": "happyhorse-1.0",
    "prompt": "A cherry blossom tree in full bloom, petals falling gently in the breeze, cinematic depth of field, warm spring sunlight",
    "duration": 8,     # seconds (4–16)
    "resolution": "1080p"
}
resp = requests.post(f"{BASE_URL}/video/generations", json=payload, headers=HEADERS)
task_id = resp.json()["task_id"]

# Step 2: Poll for completion
while True:
    result = requests.get(
        f"{BASE_URL}/video/tasks/{task_id}",
        headers=HEADERS
    ).json()
    if result["status"] == "succeeded":
        print("Video ready:", result["video_url"])
        break
    time.sleep(5)

import base64, requests, time

# Encode your product or character image
with open("product_photo.jpg", "rb") as f:
    img_b64 = base64.b64encode(f.read()).decode()

payload = {
    "model": "happyhorse-1.0",
    "prompt": "The product rotates 360 degrees on a white background with soft studio lighting",
    "image": f"data:image/jpeg;base64,{img_b64}",
    "duration": 6,
    "resolution": "720p"
}
# ... same polling logic as above