runtime error

Exit code: 1. Reason: ite-packages/pydantic/_internal/_fields.py:132: UserWarning: Field "model_kwargs" in HuggingFaceLLM has conflict with protected namespace "model_". You may be able to resolve this warning by setting `model_config['protected_namespaces'] = ()`. warnings.warn( /usr/local/lib/python3.10/site-packages/pydantic/_internal/_fields.py:132: UserWarning: Field "model_name" in HuggingFaceInferenceAPI has conflict with protected namespace "model_". You may be able to resolve this warning by setting `model_config['protected_namespaces'] = ()`. warnings.warn( /usr/local/lib/python3.10/site-packages/pydantic/_internal/_fields.py:132: UserWarning: Field "model_name" in TextGenerationInference has conflict with protected namespace "model_". You may be able to resolve this warning by setting `model_config['protected_namespaces'] = ()`. warnings.warn( The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well. Token is valid (permission: fineGrained). Your token has been saved to /home/user/.cache/huggingface/token Login successful /home/user/app/app.py:63: DeprecationWarning: Call to deprecated class HuggingFaceInferenceAPI. (Deprecated in favor of `HuggingFaceInferenceAPI` from `llama-index-llms-huggingface-api` which should be used instead.) Settings.llm = HuggingFaceInferenceAPI(model_name="mistralai/Mistral-Nemo-Instruct-2407", /usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884 warnings.warn( Traceback (most recent call last): File "/home/user/app/app.py", line 153, in <module> with gr.Blocks as iface: AttributeError: __enter__

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