runtime error

Exit code: 1. Reason: uggingface_hub[hf_xet]` or `pip install hf_xet` pytorch_model.bin: 0%| | 0.00/1.11G [00:00<?, ?B/s] pytorch_model.bin: 3%|▎ | 32.2M/1.11G [00:01<00:41, 25.9MB/s] pytorch_model.bin: 75%|███████▌ | 840M/1.11G [00:02<00:00, 443MB/s]  pytorch_model.bin: 100%|█████████▉| 1.11G/1.11G [00:02<00:00, 415MB/s] Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet` model.safetensors: 0%| | 0.00/1.11G [00:00<?, ?B/s] model.safetensors: 2%|▏ | 21.0M/1.11G [00:01<00:55, 19.6MB/s] model.safetensors: 49%|████▉ | 546M/1.11G [00:02<00:01, 307MB/s]  model.safetensors: 100%|█████████▉| 1.11G/1.11G [00:02<00:00, 418MB/s] tokenizer_config.json: 0%| | 0.00/398 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 398/398 [00:00<00:00, 4.62MB/s] Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet` sentencepiece.bpe.model: 0%| | 0.00/5.07M [00:00<?, ?B/s] sentencepiece.bpe.model: 100%|██████████| 5.07M/5.07M [00:00<00:00, 75.8MB/s] tokenizer.json: 0%| | 0.00/9.08M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 9.08M/9.08M [00:00<00:00, 20.6MB/s] special_tokens_map.json: 0%| | 0.00/239 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 239/239 [00:00<00:00, 2.01MB/s] Device set to use cpu Traceback (most recent call last): File "/home/user/app/app.py", line 17, in <module> gr.inputs.Textbox(lines=5, label="Paste some text here"), AttributeError: module 'gradio' has no attribute 'inputs'

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