runtime error

Exit code: 1. Reason: ytorch_model.bin: 59%|█████▉ | 580M/982M [00:03<00:01, 225MB/s]  pytorch_model.bin: 100%|██████████| 982M/982M [00:03<00:00, 291MB/s] model.safetensors: 0%| | 0.00/982M [00:00<?, ?B/s] tokenizer_config.json: 0%| | 0.00/241 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 241/241 [00:00<00:00, 1.10MB/s] vocab.json: 0%| | 0.00/798k [00:00<?, ?B/s] vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 19.7MB/s] model.safetensors: 4%|▍ | 43.7M/982M [00:01<00:24, 38.9MB/s] merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 66.6MB/s] tokenizer.json: 0%| | 0.00/1.36M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.36M/1.36M [00:00<00:00, 75.6MB/s] special_tokens_map.json: 0%| | 0.00/120 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 120/120 [00:00<00:00, 416kB/s] preprocessor_config.json: 0%| | 0.00/228 [00:00<?, ?B/s] preprocessor_config.json: 100%|██████████| 228/228 [00:00<00:00, 290kB/s] Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. Device set to use cpu Traceback (most recent call last): File "/app/app.py", line 19, in <module> raise RuntimeError("YUNWU_API_KEY not set in Space secrets.") RuntimeError: YUNWU_API_KEY not set in Space secrets. model.safetensors: 11%|█▏ | 111M/982M [00:02<00:16, 54.4MB/s]  model.safetensors: 45%|████▌ | 446M/982M [00:03<00:03, 176MB/s]  model.safetensors: 100%|██████████| 982M/982M [00:03<00:00, 275MB/s]

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