import requests

API_KEY = "YOUR_API_KEY"
BASE_URL = "https://nano-gpt.com/api/v1"

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

# Simple chat completion
response = requests.post(
    f"{BASE_URL}/chat/completions",
    headers=headers,
    json={
        "model": "chatgpt-4o-latest",
        "messages": [
            {"role": "user", "content": "Hello, how are you?"}
        ]
    }
)

print(response.json())

import requests
import json

API_KEY = "YOUR_API_KEY"
BASE_URL = "https://nano-gpt.com/api/v1"

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json",
    "Accept": "text/event-stream"
}

response = requests.post(
    f"{BASE_URL}/chat/completions",
    headers=headers,
    json={
        "model": "chatgpt-4o-latest",
        "messages": [{"role": "user", "content": "Tell me a story"}],
        "stream": True
    },
    stream=True
)

for line in response.iter_lines():
    if line:
        line = line.decode('utf-8')
        if line.startswith('data: '):
            if line[6:] == '[DONE]':
                break
            chunk = json.loads(line[6:])
            # Check if choices array exists and is not empty
            if 'choices' in chunk and len(chunk['choices']) > 0:
                if chunk['choices'][0]['delta'].get('content'):
                    print(chunk['choices'][0]['delta']['content'], end='')

import requests

API_KEY = "YOUR_API_KEY"
URL = "https://https://nano-gpt.com/api/v1/images/generations"

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

payload = {
    "model": "hidream",
    "prompt": "A serene mountain landscape at sunset",
    "n": 1,
    "size": "512x512",
    "response_format": "url",
    "user": "example-user-123",
    # Optional advanced parameters
    # "imageDataUrl": "data:image/jpeg;base64,/9j/4AAQ...",
    # "imageDataUrls": [
    #   "data:image/jpeg;base64,/9j/4AAQ...",
    #   "data:image/png;base64,iVBORw0KGgo..."
    # ],
    # "maskDataUrl": "data:image/png;base64,iVBORw0KGgo...",
    # "strength": 0.8,
    # "guidance_scale": 7.5,
    # "num_inference_steps": 30,
    # "seed": 42,
    # "kontext_max_mode": False
}

response = requests.post(URL, headers=headers, json=payload)
print(response.json())

import time, requests, json

API_KEY = "YOUR_API_KEY"
BASE_URL = "https://nano-gpt.com/api"
HEADERS = {"x-api-key": API_KEY, "Content-Type": "application/json"}

# 1) Submit
submit = requests.post(
    f"{BASE_URL}/generate-video",
    headers=HEADERS,
    json={
        "model": "veo2-video",
        "prompt": "A beautiful sunset over the ocean with waves",
        "duration": "5s",
        "aspect_ratio": "16:9"
    }
)
submit.raise_for_status()
job = submit.json()
print("Submit response:", json.dumps(job, indent=2))
run_id = job["runId"]

# 2) Poll status
status_url = f"{BASE_URL}/generate-video/status?runId={run_id}&modelSlug=veo2-video"
video_url = None
for i in range(120):  # up to ~120 attempts (~10 minutes)
    resp = requests.get(status_url, headers={"x-api-key": API_KEY})
    resp.raise_for_status()
    data = resp.json().get("data", {})
    print(f"Attempt {i+1}: status={data.get('status')}")
    if data.get("status") == "COMPLETED":
        print("Completed response:", json.dumps(data, indent=2))
        video_url = data.get("output", {}).get("video", {}).get("url")
        break
    time.sleep(5)

print("Video URL:", video_url)