I’m facing an issue in deploying my streamlit app in the cloud. It works perfectly fine on my machine. Here’s the link: https://chatwith-your-data.streamlit.app/
Hi @vivekmenonm, and welcome to our Community! 
Could you please inspect the logs on your Streamlit Community Cloud dashboard? There, you will be able to find detailed information on what went wrong during the deployment process.
You may be able to solve the issue yourself, but if not, feel free to paste them back here, and we’ll investigate.
Best regards,
Charly
Hi Charly thanks for the reply. I’m attaching the relevant portion of error below;
[06:48:29] 
Updated app!
You are using the default legacy behaviour of the <class ‘transformers.models.t5.tokenization_t5.T5Tokenizer’>. If you see this, DO NOT PANIC! This is expected, and simply means that the legacy (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set legacy=False. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in ⚠️⚠️[`T5Tokenize`] Fix T5 family tokenizers⚠️⚠️ by ArthurZucker · Pull Request #24565 · huggingface/transformers · GitHub
[06:54:20] 
Streamlit server consistently failed status checks
[06:54:20] Please fix the errors, push an update to the git repo, or reboot the app.
I want to inform you that default legacy behaviour class ‘transformers.models.t5.tokenization_t5.T5Tokenizer’ has nothing to do with it.
[ UTC ] Logs for chatwith-your-data.streamlit.app/
────────────────────────────────────────────────────────────────────────────────────────
[06:07:10] 
Starting up repository: ‘custom-data-llm-bot’, branch: ‘main’, main module: ‘app.py’
[06:07:10] 
Cloning repository…
[06:07:11] Cloning into ‘/app/custom-data-llm-bot’…
[06:07:11] Cloned repository!
[06:07:11] Pulling code changes from Github…
[06:07:12] 
Processing dependencies…
──────────────────────────────────────── pip ───────────────────────────────────────────
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Collecting referencing==0.30.2
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Collecting regex==2023.6.3
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Collecting requests==2.31.0
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Collecting rich==13.5.2
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Collecting rpds-py==0.10.2
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Collecting safetensors==0.3.1
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Collecting scikit-learn==1.3.0
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Collecting scipy==1.11.1
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Collecting sentence-transformers==2.2.2
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Preparing metadata (setup.py): started
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Collecting sentencepiece==0.1.99
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Collecting streamlit==1.26.0
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Collecting torch==2.0.1
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Collecting torchvision==0.15.2
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Collecting tornado==6.3.3
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Collecting tqdm==4.65.0
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Collecting transformers==4.33.1
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Collecting typing-inspect==0.9.0
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Collecting urllib3==2.0.4
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Collecting validators==0.22.0
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Collecting watchdog==3.0.0
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Collecting yarl==1.9.2
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Collecting zipp==3.16.2
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Collecting nvidia-cudnn-cu11==8.5.0.96
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Collecting nvidia-cusparse-cu11==11.7.4.91
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Collecting nvidia-cublas-cu11==11.10.3.66
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Collecting nvidia-cuda-runtime-cu11==11.7.99
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Collecting nvidia-cusolver-cu11==11.4.0.1
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Collecting nvidia-nccl-cu11==2.14.3
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Collecting nvidia-cufft-cu11==10.9.0.58
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Collecting triton==2.0.0
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Collecting nvidia-cuda-cupti-cu11==11.7.101
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Collecting nvidia-cuda-nvrtc-cu11==11.7.99
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Collecting nvidia-nvtx-cu11==11.7.91
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Collecting nvidia-curand-cu11==10.2.10.91
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Collecting wheel
Downloading wheel-0.41.2-py3-none-any.whl (64 kB)
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Collecting setuptools
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Collecting lit
Downloading lit-16.0.6.tar.gz (153 kB)
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Installing build dependencies: started
Installing build dependencies: finished with status ‘done’
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status ‘done’
Installing backend dependencies: started
Installing backend dependencies: finished with status ‘done’
Preparing metadata (pyproject.toml): started
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Collecting cmake
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Building wheels for collected packages: sentence-transformers, lit
Building wheel for sentence-transformers (setup.py): started
Building wheel for sentence-transformers (setup.py): finished with status ‘done’
Created wheel for sentence-transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125926 sha256=29324c5ba051970e5eb53e48063dc62c18df6d6a4ed63cc0295d656f6de691dc
Stored in directory: /tmp/pip-ephem-wheel-cache-zetluawj/wheels/71/67/06/162a3760c40d74dd40bc855d527008d26341c2b0ecf3e8e11f
Building wheel for lit (pyproject.toml): started
Building wheel for lit (pyproject.toml): finished with status ‘done’
Created wheel for lit: filename=lit-16.0.6-py3-none-any.whl size=93584 sha256=3dd2eb5da4b73377959385cc77d9dbe828f958c72b19a4157fbebb01a92cf309
Stored in directory: /tmp/pip-ephem-wheel-cache-zetluawj/wheels/a5/36/d6/cac2e6fb891889b33a548f2fddb8b4b7726399aaa2ed32b188
Successfully built sentence-transformers lit
Installing collected packages: verbose, tokenizers, sentencepiece, safetensors, pytz, mpmath, lit, InstructorEmbedding, faiss-cpu, cmake, zipp, wheel, watchdog, validators, urllib3, tzdata, typing_extensions, tqdm, tornado, toolz, toml, threadpoolctl, tenacity, sympy, smmap, six, setuptools, rpds-py, regex, PyYAML, Pympler, Pygments, psutil, protobuf, Pillow, packaging, nvidia-nccl-cu11, nvidia-cufft-cu11, nvidia-cuda-nvrtc-cu11, numpy, networkx, mypy-extensions, multidict, mdurl, MarkupSafe, joblib, idna, greenlet, fsspec, frozenlist, filelock, einops, colorama, click, charset-normalizer, certifi, cachetools, blinker, attrs, async-timeout, yarl, typing-inspect, SQLAlchemy, scipy, requests, referencing, pytz-deprecation-shim, python-dateutil, pypdf, pydantic, pyarrow, nvidia-nvtx-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, numexpr, nltk, marshmallow, markdown-it-py, Jinja2, importlib-metadata, gitdb, aiosignal, tzlocal, scikit-learn, rich, pydeck, pandas, nvidia-cusolver-cu11, nvidia-cudnn-cu11, langsmith, jsonschema-specifications, huggingface-hub, GitPython, dataclasses-json, aiohttp, transformers, langchain, jsonschema, altair, streamlit, triton, torch, torchvision, sentence-transformers, accelerate
Attempting uninstall: wheel
Found existing installation: wheel 0.40.0
Uninstalling wheel-0.40.0:
Successfully uninstalled wheel-0.40.0
Attempting uninstall: setuptools
Found existing installation: setuptools 67.8.0
Uninstalling setuptools-67.8.0:
Successfully uninstalled setuptools-67.8.0
Successfully installed GitPython-3.1.36 InstructorEmbedding-1.0.1 Jinja2-3.1.2 MarkupSafe-2.1.3 Pillow-9.5.0 PyYAML-6.0.1 Pygments-2.16.1 Pympler-1.0.1 SQLAlchemy-2.0.19 accelerate-0.22.0 aiohttp-3.8.5 aiosignal-1.3.1 altair-5.1.1 async-timeout-4.0.2 attrs-23.1.0 blinker-1.6.2 cachetools-5.3.1 certifi-2023.5.7 charset-normalizer-3.2.0 click-8.1.6 cmake-3.27.5 colorama-0.4.6 dataclasses-json-0.5.14 einops-0.6.1 faiss-cpu-1.7.4 filelock-3.12.2 frozenlist-1.4.0 fsspec-2023.6.0 gitdb-4.0.10 greenlet-2.0.2 huggingface-hub-0.17.1 idna-3.4 importlib-metadata-6.8.0 joblib-1.3.1 jsonschema-4.19.0 jsonschema-specifications-2023.7.1 langchain-0.0.286 langsmith-0.0.35 lit-16.0.6 markdown-it-py-3.0.0 marshmallow-3.20.1 mdurl-0.1.2 mpmath-1.3.0 multidict-6.0.4 mypy-extensions-1.0.0 networkx-3.1 nltk-3.8.1 numexpr-2.8.5 numpy-1.25.1 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 packaging-23.1 pandas-2.1.0 protobuf-3.20.3 psutil-5.9.5 pyarrow-13.0.0 pydantic-1.10.11 pydeck-0.8.0 pypdf-3.12.2 python-dateutil-2.8.2 pytz-2023.3.post1 pytz-deprecation-shim-0.1.0.post0 referencing-0.30.2 regex-2023.6.3 requests-2.31.0 rich-13.5.2 rpds-py-0.10.2 safetensors-0.3.1 scikit-learn-1.3.0 scipy-1.11.1 sentence-transformers-2.2.2 sentencepiece-0.1.99 setuptools-68.2.2 six-1.16.0 smmap-5.0.0 streamlit-1.26.0 sympy-1.12 tenacity-8.2.2 threadpoolctl-3.2.0 tokenizers-0.13.3 toml-0.10.2 toolz-0.12.0 torch-2.0.1 torchvision-0.15.2 tornado-6.3.3 tqdm-4.65.0 transformers-4.33.1 triton-2.0.0 typing-inspect-0.9.0 typing_extensions-4.7.1 tzdata-2023.3 tzlocal-4.3.1 urllib3-2.0.4 validators-0.22.0 verbose-1.0.0 watchdog-3.0.0 wheel-0.41.2 yarl-1.9.2 zipp-3.16.2
WARNING: You are using pip version 22.0.3; however, version 23.2.1 is available.
You should consider upgrading via the ‘/home/appuser/venv/bin/python -m pip install --upgrade pip’ command.
Checking if Streamlit is installed
Found Streamlit version 1.26.0 in the environment
────────────────────────────────────────────────────────────────────────────────────────
[06:09:28] 
Python dependencies were installed from /app/custom-data-llm-bot/requirements.txt using pip.
Check if streamlit is installed
Streamlit is already installed
[06:09:29] Processed dependencies!
Collecting usage statistics. To deactivate, set browser.gatherUsageStats to False.
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You are using the default legacy behaviour of the <class ‘transformers.models.t5.tokenization_t5.T5Tokenizer’>. If you see this, DO NOT PANIC! This is expected, and simply means that the legacy (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set legacy=False. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in ⚠️⚠️[`T5Tokenize`] Fix T5 family tokenizers⚠️⚠️ by ArthurZucker · Pull Request #24565 · huggingface/transformers · GitHub
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[06:20:50] Streamlit server consistently failed status checks
[06:20:50] Please fix the errors, push an update to the git repo, or reboot the app.
[06:45:53] Pulling code changes from Github…
[06:45:54] Processing dependencies…
──────────────────────────────────────── pip ───────────────────────────────────────────
Collecting accelerate==0.22.0
Downloading accelerate-0.22.0-py3-none-any.whl (251 kB)
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Collecting aiohttp==3.8.5
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Collecting aiosignal==1.3.1
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Collecting altair==5.1.1
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Collecting async-timeout==4.0.2
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Collecting attrs==23.1.0
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Collecting blinker==1.6.2
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Collecting cachetools==5.3.1
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Collecting certifi==2023.5.7
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Collecting charset-normalizer==3.2.0
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Collecting click==8.1.6
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Collecting colorama==0.4.6
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Collecting dataclasses-json==0.5.14
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Collecting einops==0.6.1
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Collecting faiss-cpu==1.7.4
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Collecting filelock==3.12.2
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Collecting frozenlist==1.4.0
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Collecting fsspec==2023.6.0
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Collecting gitdb==4.0.10
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Collecting GitPython==3.1.36
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Collecting greenlet==2.0.2
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Collecting huggingface-hub==0.17.1
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Collecting idna==3.4
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Collecting importlib-metadata==6.8.0
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Collecting InstructorEmbedding==1.0.1
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Collecting Jinja2==3.1.2
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Collecting joblib==1.3.1
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Collecting jsonschema==4.19.0
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Collecting jsonschema-specifications==2023.7.1
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Collecting langchain==0.0.286
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Collecting langsmith==0.0.35
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Collecting markdown-it-py==3.0.0
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Collecting MarkupSafe==2.1.3
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Collecting marshmallow==3.20.1
Downloading marshmallow-3.20.1-py3-none-any.whl (49 kB)
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Collecting mdurl==0.1.2
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Collecting mpmath==1.3.0
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Collecting multidict==6.0.4
Downloading multidict-6.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (114 kB)
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Collecting mypy-extensions==1.0.0
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Collecting networkx==3.1
Downloading networkx-3.1-py3-none-any.whl (2.1 MB)
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Collecting nltk==3.8.1
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Collecting numexpr==2.8.5
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Collecting numpy==1.25.1
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Collecting packaging==23.1
Downloading packaging-23.1-py3-none-any.whl (48 kB)
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Collecting pandas==2.1.0
Downloading pandas-2.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.7 MB)
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Collecting Pillow==9.5.0
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Collecting protobuf==3.20.3
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Collecting psutil==5.9.5
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Collecting pyarrow==13.0.0
Downloading pyarrow-13.0.0-cp39-cp39-manylinux_2_28_x86_64.whl (40.1 MB)
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Collecting pydantic==1.10.11
Downloading pydantic-1.10.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB)
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Collecting pydeck==0.8.0
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Collecting Pygments==2.16.1
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Collecting Pympler==1.0.1
Downloading Pympler-1.0.1-py3-none-any.whl (164 kB)
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Collecting pypdf==3.12.2
Downloading pypdf-3.12.2-py3-none-any.whl (254 kB)
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Collecting python-dateutil==2.8.2
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Collecting pytz==2023.3.post1
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Collecting pytz-deprecation-shim==0.1.0.post0
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Collecting PyYAML==6.0.1
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Collecting referencing==0.30.2
Downloading referencing-0.30.2-py3-none-any.whl (25 kB)
Collecting regex==2023.6.3
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Collecting requests==2.31.0
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Collecting rich==13.5.2
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Collecting rpds-py==0.10.2
Downloading rpds_py-0.10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)
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Collecting safetensors==0.3.1
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Collecting scikit-learn==1.3.0
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Collecting scipy==1.11.1
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Collecting sentence-transformers==2.2.2
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Preparing metadata (setup.py): started
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Collecting sentencepiece==0.1.99
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Collecting streamlit==1.26.0
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Collecting torch==2.0.1
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Collecting torchvision==0.15.2
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Collecting tornado==6.3.3
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Collecting tqdm==4.65.0
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Collecting transformers==4.33.1
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Collecting typing-inspect==0.9.0
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Collecting tzdata==2023.3
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Collecting tzlocal==4.3.1
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Collecting urllib3==2.0.4
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Collecting validators==0.22.0
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Collecting verbose==1.0.0
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Collecting watchdog==3.0.0
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Collecting yarl==1.9.2
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Collecting zipp==3.16.2
Downloading zipp-3.16.2-py3-none-any.whl (7.2 kB)
Collecting nvidia-cudnn-cu11==8.5.0.96
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Collecting nvidia-cusolver-cu11==11.4.0.1
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Collecting nvidia-cuda-runtime-cu11==11.7.99
Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)
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Collecting nvidia-nccl-cu11==2.14.3
Downloading nvidia_nccl_cu11-2.14.3-py3-none-manylinux1_x86_64.whl (177.1 MB)
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Collecting nvidia-cusparse-cu11==11.7.4.91
Downloading nvidia_cusparse_cu11-11.7.4.91-py3-none-manylinux1_x86_64.whl (173.2 MB)
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Collecting nvidia-cufft-cu11==10.9.0.58
Downloading nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux1_x86_64.whl (168.4 MB)
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Collecting nvidia-curand-cu11==10.2.10.91
Downloading nvidia_curand_cu11-10.2.10.91-py3-none-manylinux1_x86_64.whl (54.6 MB)
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Collecting nvidia-cuda-nvrtc-cu11==11.7.99
Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)
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Collecting nvidia-nvtx-cu11==11.7.91
Downloading nvidia_nvtx_cu11-11.7.91-py3-none-manylinux1_x86_64.whl (98 kB)
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Collecting triton==2.0.0
Downloading triton-2.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (63.3 MB)
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Collecting nvidia-cuda-cupti-cu11==11.7.101
Downloading nvidia_cuda_cupti_cu11-11.7.101-py3-none-manylinux1_x86_64.whl (11.8 MB)
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Collecting nvidia-cublas-cu11==11.10.3.66
Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB)
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Collecting wheel
Downloading wheel-0.41.2-py3-none-any.whl (64 kB)
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Collecting setuptools
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Collecting lit
Downloading lit-16.0.6.tar.gz (153 kB)
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Installing build dependencies: started
Installing build dependencies: finished with status ‘done’
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status ‘done’
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Preparing metadata (pyproject.toml): started
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Collecting cmake
Downloading cmake-3.27.5-py2.py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (26.1 MB)
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Building wheels for collected packages: sentence-transformers, lit
Building wheel for sentence-transformers (setup.py): started
Building wheel for sentence-transformers (setup.py): finished with status ‘done’
Created wheel for sentence-transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125923 sha256=4958d60eb8800b4bcda285bfec2f7351d6f0c5a5a3dfe3cd89779ca2fb22b38f
Stored in directory: /tmp/pip-ephem-wheel-cache-m23z445k/wheels/71/67/06/162a3760c40d74dd40bc855d527008d26341c2b0ecf3e8e11f
Building wheel for lit (pyproject.toml): started
Building wheel for lit (pyproject.toml): finished with status ‘done’
Created wheel for lit: filename=lit-16.0.6-py3-none-any.whl size=93584 sha256=4cd6ac8c43da3ab3c8df98302d684d4848a6848e9fdb1cb99b8ece1e3338c76f
Stored in directory: /tmp/pip-ephem-wheel-cache-m23z445k/wheels/a5/36/d6/cac2e6fb891889b33a548f2fddb8b4b7726399aaa2ed32b188
Successfully built sentence-transformers lit
Installing collected packages: verbose, tokenizers, sentencepiece, safetensors, pytz, mpmath, lit, InstructorEmbedding, faiss-cpu, cmake, zipp, wheel, watchdog, validators, urllib3, tzdata, typing_extensions, tqdm, tornado, toolz, toml, threadpoolctl, tenacity, sympy, smmap, six, setuptools, rpds-py, regex, PyYAML, Pympler, Pygments, psutil, protobuf, Pillow, packaging, nvidia-nccl-cu11, nvidia-cufft-cu11, nvidia-cuda-nvrtc-cu11, numpy, networkx, mypy-extensions, multidict, mdurl, MarkupSafe, joblib, idna, greenlet, fsspec, frozenlist, filelock, einops, colorama, click, charset-normalizer, certifi, cachetools, blinker, attrs, async-timeout, yarl, typing-inspect, SQLAlchemy, scipy, requests, referencing, pytz-deprecation-shim, python-dateutil, pypdf, pydantic, pyarrow, nvidia-nvtx-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, numexpr, nltk, marshmallow, markdown-it-py, Jinja2, importlib-metadata, gitdb, aiosignal, tzlocal, scikit-learn, rich, pydeck, pandas, nvidia-cusolver-cu11, nvidia-cudnn-cu11, langsmith, jsonschema-specifications, huggingface-hub, GitPython, dataclasses-json, aiohttp, transformers, langchain, jsonschema, altair, streamlit, triton, torch, torchvision, sentence-transformers, accelerate
Attempting uninstall: verbose
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Found existing installation: lit 16.0.6
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Attempting uninstall: InstructorEmbedding
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Successfully installed GitPython-3.1.36 InstructorEmbedding-1.0.1 Jinja2-3.1.2 MarkupSafe-2.1.3 Pillow-9.5.0 PyYAML-6.0.1 Pygments-2.16.1 Pympler-1.0.1 SQLAlchemy-2.0.19 accelerate-0.22.0 aiohttp-3.8.5 aiosignal-1.3.1 altair-5.1.1 async-timeout-4.0.2 attrs-23.1.0 blinker-1.6.2 cachetools-5.3.1 certifi-2023.5.7 charset-normalizer-3.2.0 click-8.1.6 cmake-3.27.5 colorama-0.4.6 dataclasses-json-0.5.14 einops-0.6.1 faiss-cpu-1.7.4 filelock-3.12.2 frozenlist-1.4.0 fsspec-2023.6.0 gitdb-4.0.10 greenlet-2.0.2 huggingface-hub-0.17.1 idna-3.4 importlib-metadata-6.8.0 joblib-1.3.1 jsonschema-4.19.0 jsonschema-specifications-2023.7.1 langchain-0.0.286 langsmith-0.0.35 lit-16.0.6 markdown-it-py-3.0.0 marshmallow-3.20.1 mdurl-0.1.2 mpmath-1.3.0 multidict-6.0.4 mypy-extensions-1.0.0 networkx-3.1 nltk-3.8.1 numexpr-2.8.5 numpy-1.25.1 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 packaging-23.1 pandas-2.1.0 protobuf-3.20.3 psutil-5.9.5 pyarrow-13.0.0 pydantic-1.10.11 pydeck-0.8.0 pypdf-3.12.2 python-dateutil-2.8.2 pytz-2023.3.post1 pytz-deprecation-shim-0.1.0.post0 referencing-0.30.2 regex-2023.6.3 requests-2.31.0 rich-13.5.2 rpds-py-0.10.2 safetensors-0.3.1 scikit-learn-1.3.0 scipy-1.11.1 sentence-transformers-2.2.2 sentencepiece-0.1.99 setuptools-68.2.2 six-1.16.0 smmap-5.0.0 streamlit-1.26.0 sympy-1.12 tenacity-8.2.2 threadpoolctl-3.2.0 tokenizers-0.13.3 toml-0.10.2 toolz-0.12.0 torch-2.0.1 torchvision-0.15.2 tornado-6.3.3 tqdm-4.65.0 transformers-4.33.1 triton-2.0.0 typing-inspect-0.9.0 typing_extensions-4.7.1 tzdata-2023.3 tzlocal-4.3.1 urllib3-2.0.4 validators-0.22.0 verbose-1.0.0 watchdog-3.0.0 wheel-0.41.2 yarl-1.9.2 zipp-3.16.2
WARNING: You are using pip version 22.0.3; however, version 23.2.1 is available.
You should consider upgrading via the ‘/home/appuser/venv/bin/python -m pip install --upgrade pip’ command.
Checking if Streamlit is installed
Found Streamlit version 1.26.0 in the environment
────────────────────────────────────────────────────────────────────────────────────────
[06:48:25] Python dependencies were installed from /app/custom-data-llm-bot/requirements.txt using pip.
[06:48:25] Processed dependencies!
Collecting usage statistics. To deactivate, set browser.gatherUsageStats to False.
[06:48:29] Updated app!
You are using the default legacy behaviour of the <class ‘transformers.models.t5.tokenization_t5.T5Tokenizer’>. If you see this, DO NOT PANIC! This is expected, and simply means that the legacy (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set legacy=False. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in ⚠️⚠️[`T5Tokenize`] Fix T5 family tokenizers⚠️⚠️ by ArthurZucker · Pull Request #24565 · huggingface/transformers · GitHub
[06:54:20] Streamlit server consistently failed status checks
[06:54:20] Please fix the errors, push an update to the git repo, or reboot the app.
Thank you, @vivekmenonm,
Anything related to T5 models can be pretty resource-intensive, so the issue may be related to memory or CPU resource constraints.
Have you tried using other, smaller models? Are you able to deploy them?
Also, have you tried rebooting your app to see if that helps at all?
Best,
Charly
Another thing you may want to try is to set the legacy parameter to false (legacy=False), as indicated in the warning message seen in the logs.
Thanks,
Charly
1 Like
I created this application as part of the Streamlit hackathon, and, as you mentioned, it appears to be resource-intensive. I’ve attempted various solutions like rebooting and setting ‘legacy’ to ‘false,’ but unfortunately, none of these measures have worked. I suspect that the performance issue is indeed related to the CPU constraints you previously mentioned. Btw thanks for your help and generosity.
I see. Thanks for the precision.
Have you tried leveraging pre-trained T5 models on Replicate or Hugging Face?
E.g.: replicate/flan-t5-xl – Run with an API on Replicate
Thanks,
Charly
1 Like
Lemme try it Charly, thanks for the suggestion
1 Like
Great! Let me know how it goes!
Charly
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