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Sep 17th, 2023
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  1. ===== Application Startup at 2023-09-17 22:41:24 =====
  2.  
  3.  
  4. ==========
  5. == CUDA ==
  6. ==========
  7.  
  8. CUDA Version 11.7.1
  9.  
  10. Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  11.  
  12. This container image and its contents are governed by the NVIDIA Deep Learning Container License.
  13. By pulling and using the container, you accept the terms and conditions of this license:
  14. https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
  15.  
  16. A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
  17.  
  18.  
  19. You can now view your Streamlit app in your browser.
  20.  
  21. URL: http://0.0.0.0:8501
  22.  
  23. 2023-09-17 22:43:16.377 Uncaught app exception
  24. Traceback (most recent call last):
  25. File "/opt/venv/lib/python3.10/site-packages/streamlit/runtime/state/session_state_proxy.py", line 119, in __getattr__
  26. return self[key]
  27. File "/opt/venv/lib/python3.10/site-packages/streamlit/runtime/state/session_state_proxy.py", line 90, in __getitem__
  28. return get_session_state()[key]
  29. File "/opt/venv/lib/python3.10/site-packages/streamlit/runtime/state/safe_session_state.py", line 111, in __getitem__
  30. raise KeyError(key)
  31. KeyError: 'messages'
  32.  
  33. During handling of the above exception, another exception occurred:
  34.  
  35. Traceback (most recent call last):
  36. File "/opt/venv/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script
  37. exec(code, module.__dict__)
  38. File "/home/user/psychology_qa/app.py", line 13, in <module>
  39. ChatView().display()
  40. File "/home/user/psychology_qa/views/base.py", line 24, in display
  41. self._display()
  42. File "/home/user/psychology_qa/views/chat.py", line 16, in _display
  43. for message in st.session_state.messages:
  44. File "/opt/venv/lib/python3.10/site-packages/streamlit/runtime/state/session_state_proxy.py", line 121, in __getattr__
  45. raise AttributeError(_missing_attr_error_message(key))
  46. AttributeError: st.session_state has no attribute "messages". Did you forget to initialize it? More info: https://docs.streamlit.io/library/advanced-features/session-state#initialization
  47. 2023-09-17T22:43:56+0000 INFO views.upload_book: upload_book Loading pipeline...
  48. 2023-09-17T22:43:58+0000 INFO torch.distributed.nn.jit.instantiator: instantiator Created a temporary directory at /tmp/tmpu8b9xomy
  49. 2023-09-17T22:43:58+0000 INFO torch.distributed.nn.jit.instantiator: instantiator Writing /tmp/tmpu8b9xomy/_remote_module_non_scriptable.py
  50. pdftotext version 4.04 [www.xpdfreader.com]
  51. Copyright 1996-2022 Glyph & Cog, LLC
  52. 2023-09-17T22:44:00+0000 INFO haystack.modeling.utils: utils Using devices: CUDA:0 - Number of GPUs: 1
  53. 2023-09-17T22:44:00+0000 INFO haystack.nodes.retriever.dense: dense Init retriever using embeddings of model intfloat/multilingual-e5-large
  54. 2023-09-17T22:44:00+0000 INFO sentence_transformers.SentenceTransformer: SentenceTransformer Load pretrained SentenceTransformer: intfloat/multilingual-e5-large
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  585. Batches: 5%|▌ | 35/700 [00:36<09:39, 1.15it/s]
  586. Batches: 5%|▌ | 36/700 [00:37<09:36, 1.15it/s]
  587. Batches: 5%|▌ | 37/700 [00:38<09:18, 1.19it/s]
  588. Batches: 5%|▌ | 38/700 [00:39<09:19, 1.18it/s]
  589. Batches: 6%|▌ | 39/700 [00:39<09:15, 1.19it/s]
  590. Batches: 6%|▌ | 40/700 [00:40<08:54, 1.23it/s]
  591. Batches: 6%|▌ | 41/700 [00:41<09:05, 1.21it/s]
  592. Batches: 6%|▌ | 42/700 [00:42<08:52, 1.24it/s]
  593. Batches: 6%|▌ | 43/700 [00:43<08:44, 1.25it/s]
  594. Batches: 6%|▋ | 44/700 [00:43<08:50, 1.24it/s]
  595. Batches: 6%|▋ | 45/700 [00:44<08:57, 1.22it/s]
  596. Batches: 7%|▋ | 46/700 [00:45<08:58, 1.21it/s]
  597. Batches: 7%|▋ | 47/700 [00:46<09:03, 1.20it/s]
  598. Batches: 7%|▋ | 48/700 [00:47<08:53, 1.22it/s]
  599. Batches: 7%|▋ | 49/700 [00:48<08:55, 1.22it/s]
  600. Batches: 7%|▋ | 50/700 [00:48<08:45, 1.24it/s]
  601. Batches: 7%|▋ | 51/700 [00:49<08:38, 1.25it/s]
  602. Batches: 7%|▋ | 52/700 [00:50<08:16, 1.30it/s]
  603. Batches: 8%|▊ | 53/700 [00:51<08:16, 1.30it/s]
  604. Batches: 8%|▊ | 54/700 [00:51<08:16, 1.30it/s]
  605. Batches: 8%|▊ | 55/700 [00:52<08:22, 1.28it/s]
  606. Batches: 8%|▊ | 56/700 [00:53<08:20, 1.29it/s]
  607. Batches: 8%|▊ | 57/700 [00:54<08:13, 1.30it/s]
  608. Batches: 8%|▊ | 58/700 [00:54<07:56, 1.35it/s]
  609. Batches: 8%|▊ | 59/700 [00:55<08:03, 1.33it/s]
  610. Batches: 9%|▊ | 60/700 [00:56<08:01, 1.33it/s]
  611. Batches: 9%|▊ | 61/700 [00:57<08:20, 1.28it/s]
  612. Batches: 9%|▉ | 62/700 [00:57<08:03, 1.32it/s]
  613. Batches: 9%|▉ | 63/700 [00:58<07:51, 1.35it/s]
  614. Batches: 9%|▉ | 64/700 [00:59<08:04, 1.31it/s]
  615. Batches: 9%|▉ | 65/700 [01:00<07:52, 1.34it/s]
  616. Batches: 9%|▉ | 66/700 [01:00<07:57, 1.33it/s]
  617. Batches: 10%|▉ | 67/700 [01:01<07:47, 1.35it/s]
  618. Batches: 10%|
  619. | 68/700 [01:02<07:39, 1.38it/s]
  620. Batches: 10%|▉ | 69/700 [01:03<07:44, 1.36it/s]
  621. Batches: 10%|█ | 70/700 [01:03<07:33, 1.39it/s]
  622. Batches: 10%|█ | 71/700 [01:04<07:42, 1.36it/s]
  623. Batches: 10%|█ | 72/700 [01:05<07:46, 1.35it/s]
  624. Batches: 10%|█ | 73/700 [01:05<07:35, 1.38it/s]
  625. Batches: 11%|█ | 74/700 [01:06<07:28, 1.40it/s]
  626. Batches: 11%|█ | 75/700 [01:07<07:34, 1.38it/s]
  627. Batches: 11%|█ | 76/700 [01:08<07:24, 1.40it/s]
  628. Batches: 11%|█ | 77/700 [01:08<07:20, 1.41it/s]
  629. Batches: 11%|█ | 78/700 [01:09<07:14, 1.43it/s]
  630. Batches: 11%|█▏ | 79/700 [01:10<07:27, 1.39it/s]
  631. Batches: 11%|█▏ | 80/700 [01:10<07:19, 1.41it/s]
  632. Batches: 12%|█▏ | 81/700 [01:11<07:24, 1.39it/s]
  633. Batches: 12%|█▏ | 82/700 [01:12<07:08, 1.44it/s]
  634. Batches: 12%|█▏ | 83/700 [01:12<06:57, 1.48it/s]
  635. Batches: 12%|█▏ | 84/700 [01:13<07:10, 1.43it/s]
  636. Batches: 12%|█▏ | 85/700 [01:14<07:17, 1.41it/s]
  637. Batches: 12%|█▏ | 86/700 [01:15<07:24, 1.38it/s]
  638. Batches: 12%|█▏ | 87/700 [01:15<07:27, 1.37it/s]
  639. Batches: 13%|█▎ | 88/700 [01:16<07:21, 1.39it/s]
  640. Batches: 13%|█▎ | 89/700 [01:17<07:46, 1.31it/s]
  641. Batches: 13%|█▎ | 90/700 [01:18<07:43, 1.31it/s]
  642. Batches: 13%|█▎ | 91/700 [01:18<07:22, 1.38it/s]
  643. Batches: 13%|█▎ | 92/700 [01:19<07:30, 1.35it/s]
  644. Batches: 13%|█▎ | 93/700 [01:20<07:17, 1.39it/s]
  645. Batches: 13%|█▎ | 94/700 [01:21<07:25, 1.36it/s]
  646. Batches: 14%|█▎ | 95/700 [01:21<07:26, 1.35it/s]
  647. Batches: 14%|█▎ | 96/700 [01:22<07:30, 1.34it/s]
  648. Batches: 14%|█▍ | 97/700 [01:23<07:21, 1.37it/s]
  649. Batches: 14%|█▍ | 98/700 [01:23<07:05, 1.42it/s]
  650. Batches: 14%|█▍ | 99/700 [01:24<06:54, 1.45it/s]
  651. Batches: 14%|█▍ | 100/700 [01:25<06:46, 1.48it/s]
  652. Batches: 14%|█▍ | 101/700 [01:25<06:51, 1.46it/s]
  653. Batches: 15%|█▍ | 102/700 [01:26<06:51, 1.45it/s]
  654. Batches: 15%|█▍ | 103/700 [01:27<06:43, 1.48it/s]
  655. Batches: 15%|█▍ | 104/700 [01:27<06:38, 1.49it/s]
  656. Batches: 15%|█▌ | 105/700 [01:28<06:25, 1.54it/s]
  657. Batches: 15%|█▌ | 106/700 [01:29<06:37, 1.49it/s]
  658. Batches: 15%|█▌ | 107/700 [01:29<06:44, 1.47it/s]
  659. Batches: 15%|█▌ | 108/700 [01:30<06:43, 1.47it/s]
  660. Batches: 16%|█▌ | 109/700 [01:31<06:45, 1.46it/s]
  661. Batches: 16%|█▌ | 110/700 [01:32<06:46, 1.45it/s]
  662. Batches: 16%|█▌ | 111/700 [01:32<06:30, 1.51it/s]
  663. Batches: 16%|█▌ | 112/700 [01:33<06:39, 1.47it/s]
  664. Batches: 16%|█▌ | 113/700 [01:33<06:34, 1.49it/s]
  665. Batches: 16%|█▋ | 114/700 [01:34<06:22, 1.53it/s]
  666. Batches: 16%|█▋ | 115/700 [01:35<06:35, 1.48it/s]
  667. Batches: 17%|█▋ | 116/700 [01:36<06:42, 1.45it/s]
  668. Batches: 17%|█▋ | 117/700 [01:36<06:24, 1.52it/s]
  669. Batches: 17%|█▋ | 118/700 [01:37<06:23, 1.52it/s]
  670. Batches: 17%|█▋ | 119/700 [01:37<06:22, 1.52it/s]
  671. Batches: 17%|█▋ | 120/700 [01:38<06:20, 1.52it/s]
  672. Batches: 17%|█▋ | 121/700 [01:39<06:42, 1.44it/s]
  673. Batches: 17%|█▋ | 122/700 [01:40<06:27, 1.49it/s]
  674. Batches: 18%|█▊ | 123/700 [01:40<06:28, 1.49it/s]
  675. Batches: 18%|█▊ | 124/700 [01:41<06:17, 1.52it/s]
  676. Batches: 18%|█▊ | 125/700 [01:42<06:28, 1.48it/s]
  677. Batches: 18%|█▊ | 126/700 [01:42<06:28, 1.48it/s]
  678. Batches: 18%|█▊ | 127/700 [01:43<06:14, 1.53it/s]
  679. Batches: 18%|█▊ | 128/700 [01:44<06:25, 1.48it/s]
  680. Batches: 18%|█▊ | 129/700 [01:44<06:12, 1.53it/s]
  681. Batches: 19%|█▊ | 130/700 [01:45<06:13, 1.53it/s]
  682. Batches: 19%|█▊ | 131/700 [01:45<06:14, 1.52it/s]
  683. Batches: 19%|█▉ | 132/700 [01:46<06:25, 1.47it/s]
  684. Batches: 19%|█▉ | 133/700 [01:47<06:42, 1.41it/s]
  685. Batches: 19%|█▉ | 134/700 [01:48<06:33, 1.44it/s]
  686. Batches: 19%|█▉ | 135/700 [01:48<06:38, 1.42it/s]
  687. Batches: 19%|█▉ | 136/700 [01:49<06:20, 1.48it/s]
  688. Batches: 20%|█▉ | 137/700 [01:50<06:18, 1.49it/s]
  689. Batches: 20%|█▉ | 138/700 [01:50<06:05, 1.54it/s]
  690. Batches: 20%|█▉ | 139/700 [01:51<05:59, 1.56it/s]
  691. Batches: 20%|██ | 140/700 [01:51<05:52, 1.59it/s]
  692. Batches: 20%|██ | 141/700 [01:52<06:01, 1.55it/s]
  693. Batches: 20%|██ | 142/700 [01:53<06:03, 1.54it/s]
  694. Batches: 20%|██ | 143/700 [01:53<06:04, 1.53it/s]
  695. Batches: 21%|██ | 144/700 [01:54<06:08, 1.51it/s]
  696. Batches: 21%|██ | 145/700 [01:55<05:59, 1.54it/s]
  697. Batches: 21%|██ | 146/700 [01:55<06:05, 1.52it/s]
  698. Batches: 21%|██ | 147/700 [01:56<05:55, 1.55it/s]
  699. Batches: 21%|██ | 148/700 [01:57<05:50, 1.58it/s]
  700. Batches: 21%|██▏ | 149/700 [01:57<05:47, 1.58it/s]
  701. Batches: 21%|██▏ | 150/700 [01:58<06:14, 1.47it/s]
  702. Batches: 22%|██▏ | 151/700 [01:59<05:59, 1.53it/s]
  703. Batches: 22%|██▏ | 152/700 [01:59<05:44, 1.59it/s]
  704. Batches: 22%|██▏ | 153/700 [02:00<05:51, 1.56it/s]
  705. Batches: 22%|██▏ | 154/700 [02:01<05:56, 1.53it/s]
  706. Batches: 22%|██▏ | 155/700 [02:01<05:46, 1.57it/s]
  707. Batches: 22%|██▏ | 156/700 [02:02<05:38, 1.61it/s]
  708. Batches: 22%|██▏ | 157/700 [02:02<05:43, 1.58it/s]
  709. Batches: 23%|██▎ | 158/700 [02:03<05:39, 1.60it/s]
  710. Batches: 23%|██▎ | 159/700 [02:04<05:29, 1.64it/s]
  711. Batches: 23%|██▎ | 160/700 [02:04<05:36, 1.61it/s]
  712. Batches: 23%|██▎ | 161/700 [02:05<05:30, 1.63it/s]
  713. Batches: 23%|██▎ | 162/700 [02:06<05:37, 1.59it/s]
  714. Batches: 23%|██▎ | 163/700 [02:06<05:27, 1.64it/s]
  715. Batches: 23%|██▎ | 164/700 [02:07<05:45, 1.55it/s]
  716. Batches: 24%|██▎ | 165/700 [02:07<05:31, 1.61it/s]
  717. Batches: 24%|██▎ | 166/700 [02:08<05:27, 1.63it/s]
  718. Batches: 24%|██▍ | 167/700 [02:09<05:23, 1.65it/s]
  719. Batches: 24%|██▍ | 168/700 [02:09<05:33, 1.60it/s]
  720. Batches: 24%|██▍ | 169/700 [02:10<05:28, 1.62it/s]
  721. Batches: 24%|██▍ | 170/700 [02:11<05:35, 1.58it/s]
  722. Batches: 24%|██▍ | 171/700 [02:11<05:31, 1.60it/s]
  723. Batches: 25%|██▍ | 172/700 [02:12<05:39, 1.55it/s]
  724. Batches: 25%|██▍ | 173/700 [02:12<05:41, 1.54it/s]
  725. Batches: 25%|██▍ | 174/700 [02:13<05:28, 1.60it/s]
  726. Batches: 25%|██▌ | 175/700 [02:14<05:36, 1.56it/s]
  727. Batches: 25%|██▌ | 176/700 [02:14<05:24, 1.62it/s]
  728. Batches: 25%|██▌ | 177/700 [02:15<05:16, 1.65it/s]
  729. Batches: 25%|██▌ | 178/700 [02:16<05:30, 1.58it/s]
  730. Batches: 26%|██▌ | 179/700 [02:16<05:20, 1.63it/s]
  731. Batches: 26%|██▌ | 180/700 [02:17<05:17, 1.64it/s]
  732. Batches: 26%|██▌ | 181/700 [02:17<05:11, 1.67it/s]
  733. Batches: 26%|██▌ | 182/700 [02:18<05:06, 1.69it/s]
  734. Batches: 26%|██▌ | 183/700 [02:18<05:03, 1.70it/s]
  735. Batches: 26%|██▋ | 184/700 [02:19<05:05, 1.69it/s]
  736. Batches: 26%|██▋ | 185/700 [02:20<05:06, 1.68it/s]
  737. Batches: 27%|██▋ | 186/700 [02:20<05:07, 1.67it/s]
  738. Batches: 27%|██▋ | 187/700 [02:21<04:56, 1.73it/s]
  739. Batches: 27%|██▋ | 188/700 [02:21<05:11, 1.64it/s]
  740. Batches: 27%|██▋ | 189/700 [02:22<05:10, 1.65it/s]
  741. Batches: 27%|██▋ | 190/700 [02:23<05:08, 1.65it/s]
  742. Batches: 27%|██▋ | 191/700 [02:23<05:10, 1.64it/s]
  743. Batches: 27%|██▋ | 192/700 [02:24<05:19, 1.59it/s]
  744. Batches: 28%|██▊ | 193/700 [02:25<05:18, 1.59it/s]
  745. Batches: 28%|██▊ | 194/700 [02:25<05:16, 1.60it/s]
  746. Batches: 28%|██▊ | 195/700 [02:26<05:12, 1.62it/s]
  747. Batches: 28%|██▊ | 196/700 [02:26<05:21, 1.57it/s]
  748. Batches: 28%|██▊ | 197/700 [02:27<05:15, 1.60it/s]
  749. Batches: 28%|██▊ | 198/700 [02:28<05:20, 1.56it/s]
  750. Batches: 28%|██▊ | 199/700 [02:28<05:18, 1.57it/s]
  751. Batches: 29%|██▊ | 200/700 [02:29<05:25, 1.54it/s]
  752. Batches: 29%|██▊ | 201/700 [02:30<05:13, 1.59it/s]
  753. Batches: 29%|██▉ | 202/700 [02:30<04:58, 1.67it/s]
  754. Batches: 29%|██▉ | 203/700 [02:31<04:47, 1.73it/s]
  755. Batches: 29%|██▉ | 204/700 [02:31<04:50, 1.71it/s]
  756. Batches: 29%|██▉ | 205/700 [02:32<04:41, 1.76it/s]
  757. Batches: 29%|██▉ | 206/700 [02:33<04:57, 1.66it/s]
  758. Batches: 30%|██▉ | 207/700 [02:33<04:46, 1.72it/s]
  759. Batches: 30%|██▉ | 208/700 [02:34<04:38, 1.77it/s]
  760. Batches: 30%|██▉ | 209/700 [02:34<04:53, 1.67it/s]
  761. Batches: 30%|███ | 210/700 [02:35<04:40, 1.75it/s]
  762. Batches: 30%|███ | 211/700 [02:35<04:46, 1.71it/s]
  763. Batches: 30%|███ | 212/700 [02:36<04:33, 1.78it/s]
  764. Batches: 30%|███ | 213/700 [02:37<04:42, 1.72it/s]
  765. Batches: 31%|███ | 214/700 [02:37<04:45, 1.70it/s]
  766. Batches: 31%|███ | 215/700 [02:38<04:48, 1.68it/s]
  767. Batches: 31%|███ | 216/700 [02:38<04:37, 1.74it/s]
  768. Batches: 31%|███ | 217/700 [02:39<04:28, 1.80it/s]
  769. Batches: 31%|███ | 218/700 [02:39<04:35, 1.75it/s]
  770. Batches: 31%|███▏ | 219/700 [02:40<04:29, 1.78it/s]
  771. Batches: 31%|███▏ | 220/700 [02:40<04:22, 1.83it/s]
  772. Batches: 32%|███▏ | 221/700 [02:41<04:34, 1.74it/s]
  773. Batches: 32%|███▏ | 222/700 [02:42<04:41, 1.70it/s]
  774. Batches: 32%|███▏ | 223/700 [02:42<04:48, 1.66it/s]
  775. Batches: 32%|███▏ | 224/700 [02:43<04:37, 1.72it/s]
  776. Batches: 32%|███▏ | 225/700 [02:43<04:29, 1.76it/s]
  777. Batches: 32%|███▏ | 226/700 [02:44<04:31, 1.74it/s]
  778. Batches: 32%|███▏ | 227/700 [02:44<04:22, 1.80it/s]
  779. Batches: 33%|███▎ | 228/700 [02:45<04:18, 1.82it/s]
  780. Batches: 33%|███▎ | 229/700 [02:46<04:15, 1.84it/s]
  781. Batches: 33%|███▎ | 230/700 [02:46<04:14, 1.85it/s]
  782. Batches: 33%|███▎ | 231/700 [02:47<04:26, 1.76it/s]
  783. error: code = NotFound desc = an error occurred when try to find container "36fabe257bac7994940cc4e08de0915c15cb6607ec6755d255fe9df0c92ad44c": not found
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