pistocop / pistobot Goto Github PK

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?

Users want access to as much AI as they can get, they dont want to manage 50 accounts, they want the fastest AI they want the cheapest AI, and you can provide all of that for them with this update.

in addition to or in place of integrating with any aggregators - Please integrate APIpie so devs can access them all from one place/subscription and plus it also provides:

-The most affordable, reliable and fastest AI available
-One API to access ~500 Models and growing
-Language, embedding, voice, image, vision and more
-Global AI load balancing, route queries based on price or latency
-Redundancy for major models providing the greatest up time possible
-Global reporting of AI availability, pricing and performance

Its the same API format as openai, just change the domain name and your API key and enjoy a plethora of models without changing any of your code other than how you handle the models list.

This is a win win for everyone, any new AI's from any providers will be automatically integrated into your stack with this one integration. Not to mention all the other advantages.

after training the model i tried to load it and confirmed pytorch model exists but it won't run? any solution?

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?

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hi I tried your colab work but it running really slow, is it cuda (gpu) enabled? I run the pretrained one (gpt2-simple), thanks