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import requests
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import uuid
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import json
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import argparse
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def create_task(promptx, content_id, jwt_token, enhance, model):
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url = "https://api.vidu.studio/vidu/v1/tasks"
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headers = {
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"Connection": "keep-alive",
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"sec-ch-ua": '"Chromium";v="128", "Not;A=Brand";v="24", "Google Chrome";v="128"',
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"Accept-Language": "en",
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"sec-ch-ua-mobile": "?0",
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"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",
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"content-type": "application/json",
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"X-Request-Id": str(uuid.uuid4()),
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"sec-ch-ua-platform": '"Windows"',
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"Accept": "*/*",
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"Origin": "https://www.vidu.studio",
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"Sec-Fetch-Site": "same-site",
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"Sec-Fetch-Mode": "cors",
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"Sec-Fetch-Dest": "empty",
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"Referer": "https://www.vidu.studio/",
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"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",
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"Accept-Encoding": "gzip, deflate"
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}
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payload = {
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"input": {
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"prompts": [
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{"type": "text", "content": f"{promptx}"},
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{"type": "image", "content": f"ssupload:?id={content_id}", "src_img": f"ssupload:?id={content_id}"}
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],
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"enhance": enhance
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},
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"type": "img2video",
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"settings": {
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"duration": 4,
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"model": model
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}
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}
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response = requests.post(url, headers=headers, json=payload)
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response_json = response.json()
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task_id = response_json.get('id', 'ID no encontrado')
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return task_id
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def read_file_info(file_path):
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try:
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with open(file_path, "r") as file:
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lines = file.readlines()
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if len(lines) >= 1:
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file_id = lines[0].strip().split(': ')[1]
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return file_id
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else:
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print("File does not contain enough lines.")
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except FileNotFoundError:
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print(f"File not found: {file_path}")
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except IOError as e:
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print(f"Error reading file: {e}")
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def read_jwt_token(file_path):
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try:
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with open(file_path, "r") as file:
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token = file.readline().strip()
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return token
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except FileNotFoundError:
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print(f"File not found: {file_path}")
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except IOError as e:
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print(f"Error reading file: {e}")
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def save_task_id(file_path, task_id):
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try:
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with open(file_path, "w") as file:
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file.write(f"task_id: {task_id}")
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except IOError as e:
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print(f"Error writing file: {e}")
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def main():
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parser = argparse.ArgumentParser(description='Script para crear una tarea con un prompt dado.')
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parser.add_argument('--prompt', type=str, required=True, help='Prompt a utilizar')
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parser.add_argument('--enhance', type=bool, default=True, help='Habilitar mejora (True o False)')
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parser.add_argument('--model', type=str, required=True, help='Modelo a usar (vidu-1 o vidu-high-performance)')
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args = parser.parse_args()
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file_info_path = "/tmp/file_info.txt"
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jwt_token_path = "/tmp/jwt_token.txt"
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task_id_path = "/tmp/task_id.txt"
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file_id = read_file_info(file_info_path)
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jwt_token = read_jwt_token(jwt_token_path)
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if file_id and jwt_token:
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try:
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task_id = create_task(args.prompt, file_id, jwt_token, enhance=args.enhance, model=args.model)
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save_task_id(task_id_path, task_id)
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except Exception as e:
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print(e)
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if __name__ == "__main__":
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main()
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