pistocop / pistobot Goto Github PK
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Home Page: https://pistocop.github.io/pistoBot-website/
License: GNU General Public License v3.0
Create an AI that chats like you
Home Page: https://pistocop.github.io/pistoBot-website/
License: GNU General Public License v3.0
Hi,
I am trying to rerun your code bot locally. I was able to parse my whatsapp messages reaching 120k messages. I replicated the structure of the colab folder and cloned this repo.
When I run
!cp ./messaging-chat-parser/data/chat_parsed/all-messages.txt ./pistoBot/data/inputs/chat_parsed/all-messages-endoftext.txt !cd pistoBot/colab/ && bash run_training.sh gpt2-scratch
I get the following output:
Installing common requirements... [gpt2-scratch model chosen] Installing requirements... Training model... 2020-10-28 22:16:02.797126: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1 run_training.sh: line 37: 21006 Segmentation fault (core dumped) python ./pistoBot/03_gpt2_scratch/gpt2_scratch.py -v
Any suggestion?
โ
Hi, your project pistoBot(commit id: ef50c51) requires "knockknock==0.1.8.1" in its dependency. After analyzing the source code, we found that the following versions of knockknock can also be suitable, i.e., knockknock 0.1.3, 0.1.4, 0.1.5, 0.1.6, 0.1.7, 0.1.8, since all functions that you directly (1 APIs: knockknock.telegram_sender.telegram_sender) or indirectly (propagate to 0 knockknock's internal APIs and 5 outsider APIs) used from the package have not been changed in these versions, thus not affecting your usage.
Therefore, we believe that it is quite safe to loose your dependency on knockknock from "knockknock==0.1.8.1" to "knockknock>=0.1.3,<=0.1.8.1". This will improve the applicability of pistoBot and reduce the possibility of any further dependency conflict with other projects.
May I pull a request to further loosen the dependency on knockknock?
By the way, could you please tell us whether such an automatic tool for dependency analysis may be potentially helpful for maintaining dependencies easier during your development?
hi I tried your colab work but it running really slow, is it cuda (gpu) enabled? I run the pretrained one (gpt2-simple), thanks
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