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import requests | |
import argparse | |
import uuid | |
def create_video_task(jwt_token, prompt, aspect_ratio, enhance, model, style): | |
url = "https://api.vidu.studio/vidu/v1/tasks" | |
headers = { | |
"Host": "api.vidu.studio", | |
"Connection": "keep-alive", | |
"sec-ch-ua": '"Chromium";v="128", "Not;A=Brand";v="24", "Google Chrome";v="128"', | |
"Accept-Language": "en", | |
"sec-ch-ua-mobile": "?0", | |
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36", | |
"content-type": "application/json", | |
"X-Request-Id": str(uuid.uuid4()), | |
"sec-ch-ua-platform": '"Windows"', | |
"Accept": "*/*", | |
"Origin": "https://www.vidu.studio", | |
"Sec-Fetch-Site": "same-site", | |
"Sec-Fetch-Mode": "cors", | |
"Sec-Fetch-Dest": "empty", | |
"Referer": "https://www.vidu.studio/", | |
"Cookie": f"sajssdk_2015_cross_new_user=1; _ga=GA1.1.77204265.1725572952; amp_af43d4=61603120ab0445398cd1cb92fd88aef0...1i727srs7.1i727ujms.6.1.7; JWT={jwt_token}; Shunt=; sensorsdata2015jssdkcross=dfm-enc-%7B%22Va28a6y8_aV%22%3A%22sSEGIEItsRRRsHGE%22%2C%22gae28_aV%22%3A%22EGEySsGigsIHGA-AsSSHnIgEEySVVs-snAAEEHE-EsGnAAA-EGEySsGigsSisH%22%2C%22OemO2%22%3A%7B%22%24ki8r28_8eiggay_2mbeyr_8cOr%22%3A%22%E7%9B%B4%E6%8E%A5%E6%B5%81%E9%87%8F%22%2C%22%24ki8r28_2rieyz_lrcMmeV%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC_%E7%9B%B4%E6%8E%A5%E6%89%93%E5%BC%80%22%2C%22%24ki8r28_ergreere%22%3A%22%22%7D%2C%22aVr68a8ar2%22%3A%22rc3liZ7ku67OV5kgPsGCiskkDskl3qmawFlJPhNcpZTowqwEpF08wX3AQXKswsPJwZwAW9NcBF3swX0JwFKJBF1cpFPMwX08wFlJPhNcpZTowq7zwqKaBv3liZ7ku67OV5kgu9G6iZHgiZNapa3cQX1Hwh1hpX3IQhycQFlJ36A%3D%22%2C%22za28mec_kmfa6_aV%22%3A%7B%226ior%22%3A%22%24aVr68a8c_kmfa6_aV%22%2C%22Cikbr%22%3A%22sSEGIEItsRRRsHGE%22%7D%7D; _ga_ZJBV7VYP55=GS1.1.1725576214.2.1.1725578996.0.0.0", | |
"Accept-Encoding": "gzip, deflate" | |
} | |
payload = { | |
"input": { | |
"prompts": [ | |
{ | |
"type": "text", | |
"content": prompt, | |
"enhance": enhance | |
} | |
] | |
}, | |
"type": "text2video", | |
"settings": { | |
"style": style, | |
"aspect_ratio": aspect_ratio, # Relación de aspecto editable | |
"duration": 4, | |
"model": model #"vidu-1" | |
} | |
} | |
response = requests.post(url, headers=headers, json=payload) | |
response_json = response.json() | |
task_id = response_json.get('id', 'ID no encontrado') | |
return task_id | |
def save_task_id(file_path, task_id): | |
try: | |
with open(file_path, "w") as file: | |
file.write(f"task_id: {task_id}") | |
except IOError as e: | |
print(f"Error writing file: {e}") | |
def main(): | |
# Configurar el análisis de argumentos | |
parser = argparse.ArgumentParser(description="Create a video task using the Vidu API.") | |
parser.add_argument('--prompt', type=str, required=True, help="The text prompt to generate the video.") | |
parser.add_argument('--aspect_ratio', type=str, default="16:9", help="The aspect ratio of the video (e.g., 16:9, 1:1, 4:3).") | |
parser.add_argument('--enhance', type=bool, default=True, help='Habilitar mejora (True o False)') | |
parser.add_argument('--model', type=str, required=True, help='vidu-1') | |
parser.add_argument('--style', type=str, required=True, help='general') | |
args = parser.parse_args() | |
# Leer el JWT token desde el archivo | |
with open('/tmp/jwt_token.txt', 'r') as file: | |
jwt_token = file.read().strip() | |
# Llamar a la función con el argumento del prompt y el aspect_ratio | |
task_id = create_video_task(jwt_token, args.prompt, args.aspect_ratio, enhance=args.enhance, model=args.model, style=args.style) | |
#print(f"El ID de la tarea es: {task_id}") | |
# Guardar el task_id en un archivo | |
save_task_id('/tmp/task_id.txt', task_id) | |
if __name__ == "__main__": | |
main() | |