Spaces:
Running
Running
| import json | |
| import os | |
| import time | |
| import gradio as gr | |
| import requests | |
| from src.log import logger | |
| from src.util import download_images | |
| def call_generation(prompt, mask_image_url,lora_path_ratio="0 1.0", image_width=512, image_height=512, BATCH_SIZE=1): | |
| API_KEY = os.getenv("API_KEY_GENERATION") | |
| headers = { | |
| "Content-Type": "application/json", | |
| "Accept": "application/json", | |
| "Authorization": f"Bearer {API_KEY}", | |
| "X-DashScope-Async": "enable", | |
| } | |
| data = { | |
| "model": "jinshu-emoji", | |
| "input": { | |
| "prompt": prompt, | |
| "mask_image_url": mask_image_url, | |
| "lora_path_ratio": lora_path_ratio, | |
| "base_model_path": 0, | |
| }, | |
| "parameters": { | |
| "n": BATCH_SIZE, | |
| "image_width": image_width, | |
| "image_height": image_height, | |
| "text_position_revise": True, | |
| } | |
| } | |
| url_create_task = 'https://dashscope.aliyuncs.com/api/v1/services/aigc/anytext/generation' | |
| all_res_ = [] | |
| REPEAT = 1 | |
| for _ in range(REPEAT): | |
| try: | |
| res_ = requests.post(url_create_task, data=json.dumps(data), headers=headers, timeout=60) | |
| all_res_.append(res_) | |
| except: | |
| pass | |
| all_image_data = [] | |
| for res_ in all_res_: | |
| respose_code = res_.status_code | |
| if 200 == respose_code: | |
| res = json.loads(res_.content.decode()) | |
| request_id = res['request_id'] | |
| task_id = res['output']['task_id'] | |
| logger.info(f"task_id: {task_id}: Create Poster Imitation request success. Params: {data}") | |
| # 异步查询 | |
| is_running = True | |
| while is_running: | |
| url_query = f'https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}' | |
| res_ = requests.post(url_query, headers=headers) | |
| respose_code = res_.status_code | |
| if 200 == respose_code: | |
| res = json.loads(res_.content.decode()) | |
| if "SUCCEEDED" == res['output']['task_status']: | |
| logger.info(f"task_id: {task_id}: Generation task query success.") | |
| results = res['output'] | |
| img_urls = results['result_url'] | |
| logger.info(f"task_id: {task_id}: {res}") | |
| break | |
| elif "FAILED" != res['output']['task_status']: | |
| logger.debug(f"task_id: {task_id}: query result...") | |
| time.sleep(1) | |
| else: | |
| raise gr.Error('Fail to get results from Generation task.') | |
| else: | |
| logger.error(f'task_id: {task_id}: Fail to query task result: {res_.content}') | |
| raise gr.Error("Fail to query task result.") | |
| logger.info(f"task_id: {task_id}: download generated images.") | |
| img_data = download_images(img_urls, BATCH_SIZE) | |
| logger.info(f"task_id: {task_id}: Generate done.") | |
| all_image_data += img_data | |
| else: | |
| logger.error(f'Fail to create Generation task: {res_.content}') | |
| raise gr.Error("Fail to create Generation task.") | |
| if len(all_image_data) != REPEAT * BATCH_SIZE: | |
| raise gr.Error("Fail to Generation.") | |
| return all_image_data | |
| if __name__ == "__main__": | |
| call_generation() | |