Rock Paper Scissors Tensorflow Repl.it issue

Python
1

Hi everyone,
I am trying to implement a Hidden Markov Model using tensorflow as in the lectures in order to pass the RPS project.
The issue came when I try to import ‘tensorflow’ and ‘tensorflow_probabilities’ inside Repl.it. I have tried to modify the ‘poetry.lock’ and ‘pyproject.toml’ to avoid loading version ‘4.2.1’ (tensorflow) because inside python3.8 there is already a version ‘2.2.0’ (tensorflow). However, I haven’t been able to solve it.

Any idea how to solve this?
Thank you in advance.

Here is the error

Repl.it: Updating package configuration

→ python3 -m poetry add tensorflow
Using version ^2.4.1 for tensorflow

Updating dependencies
Resolving dependencies…

Package operations: 7 installs, 6 updates, 0 removals

  • Updating cachetools (4.2.1 → 4.2.2)
  • Updating google-auth (1.29.0 → 1.30.0)
  • Updating grpcio (1.37.0 → 1.32.0)
  • Updating numpy (1.20.2 → 1.19.5)
  • Installing tensorboard-data-server (0.6.0)
  • Installing cloudpickle (1.6.0)
  • Installing decorator (5.0.7)
  • Installing dm-tree (0.1.6)
  • Installing flatbuffers (1.12)
  • Updating tensorboard (2.2.2 → 2.5.0)
  • Updating tensorflow-estimator (2.2.0 → 2.4.0)
  • Installing tensorflow (2.4.1)

[EnvCommandError]
Command [’/opt/virtualenvs/python3/bin/pip’, ‘install’, ‘–no-deps’, ‘tensorflow==2.4.1’] errored with the following return code -9, and output:
Collecting tensorflow==2.4.1

exit status 1

Repl.it: Package operation failed.

Your code so far

Inside of RPS.py:
import tensorflow_probability as tfp
import tensorflow as tf

Your browser information:

User Agent is: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36.

Challenge: Rock Paper Scissors

Link to the challenge:

2

Unfortunately, I don’t see a good solution other than potentially paying for the upgrade on replit. All my attempts to install tensorflow and tensorflow_probabilities caused me to exceed limits on the basic service and the processes were killed. (That is what is also causing the error that you posted)

3

Thank you for your reply. I’ll try to make it work on Google Colabs for fun and find out a different approach for Repl.it implementation.

4

That’s pretty poor form for the first project of this "free"codecamp course, imho.

5

If you create and train the model in Colabs, you could just import the finished thing into Replit, without the need of importing a lot of libraries.

6

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