import requests import uuid import json import argparse # Para manejar los argumentos de la línea de comandos def create_task(promptx, content_id, jwt_token, enhance, model): url = "https://api.vidu.studio/vidu/v1/tasks" headers = { "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": f"{promptx}"}, {"type": "image", "content": f"ssupload:?id={content_id}", "src_img": f"ssupload:?id={content_id}"} ], "enhance": enhance }, "type": "img2video", "settings": { "duration": 4, "model": model } } 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 read_file_info(file_path): try: with open(file_path, "r") as file: lines = file.readlines() if len(lines) >= 1: file_id = lines[0].strip().split(': ')[1] return file_id else: print("File does not contain enough lines.") except FileNotFoundError: print(f"File not found: {file_path}") except IOError as e: print(f"Error reading file: {e}") def read_jwt_token(file_path): try: with open(file_path, "r") as file: token = file.readline().strip() return token except FileNotFoundError: print(f"File not found: {file_path}") except IOError as e: print(f"Error reading file: {e}") 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(): parser = argparse.ArgumentParser(description='Script para crear una tarea con un prompt dado.') parser.add_argument('--prompt', type=str, required=True, help='Prompt a utilizar') parser.add_argument('--enhance', type=bool, default=True, help='Habilitar mejora (True o False)') parser.add_argument('--model', type=str, required=True, help='Modelo a usar (vidu-1 o vidu-high-performance)') args = parser.parse_args() file_info_path = "/tmp/file_info.txt" # Ruta al archivo que contiene file_id jwt_token_path = "/tmp/jwt_token.txt" # Ruta al archivo que contiene el jwt_token task_id_path = "/tmp/task_id.txt" # Ruta al archivo donde se guardará el task_id file_id = read_file_info(file_info_path) jwt_token = read_jwt_token(jwt_token_path) if file_id and jwt_token: try: task_id = create_task(args.prompt, file_id, jwt_token, enhance=args.enhance, model=args.model) #print(f"El ID de la tarea es: {task_id}") save_task_id(task_id_path, task_id) except Exception as e: print(e) if __name__ == "__main__": main()