Hi all. Because Rasa uses Tensorflow we’ve been experiencing some pip-related hardship getting installations to work on the new apple M1 macbooks. I think we’ve found a temporary workaround for the situation, but it’s important to emphesize that this workaround is very much temporary. Hopefully, these steps won’t be needed in the future when the Tensorflow/pip incompatibilities are adressed. An unofficial guide to getting Rasa to work on a M1 Macbook. What follows below is a step-by-step guide that explains how I got Rasa to work on a M1 Macbook Air. These steps seem to work on MacOS Montery v12.0.1. If you use an ealier version of the operating system you’ll likely need to upgrade. This guide was written on Feb 14th 2021. While we might try to keep this thread up-to-date, it is likely that things might change depending on the Tensorflow support for these devices. Step One: System Dependencies First, you’ll want to install some base dependencies for your operating system. We will use brew for this. If you don’t have brew installed you can do so by running: /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" The script explains what it will do and then pauses before it does it. Once brew is installed you can install the required system dependencies. brew install libpq libxml2 libxmlsec1 pkg-config postgresql Step Two: Conda Next, we will install conda to deal with our dependencies. We will follow the steps that are described here as a reference. You can install conda by downloading this file and running it locally via; chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh sh ~/Downloads/Miniforge3-MacOSX-arm64.sh source ~/miniforge3/bin/activate This will activate an environment that is maintained by conda. That means that conda is able to handle our Tensorflow dependencies from here on. Conda does not work with requirements.txt files that you may be familiar with from pip. Instead we will use a env.yml file. Here’s the one that will use: channels: - apple - conda-forge dependencies: - python==3.8.12 - dask==2021.11.2 - tensorflow-deps==2.6.0 - numpy>=1.19.2,<1.20.0 - scipy>=1.4.1,<1.8.0 - scikit-learn>=0.22,<0.25 - matplotlib==3.5.1 - pip - pip: - absl-py==0.13.0 - aio-pika==6.8.1 - aiofiles==0.8.0 - aioredis==2.0.1 - aioresponses==0.7.2 - aiormq==3.3.1 - anyio==3.4.0 - APScheduler==3.7.0 - async-generator==1.10 - async-timeout==4.0.2 - aiohttp==3.8.1 - httpcore==0.11.1 - httplib2==0.20.2 - httptools==0.3.0 - httpx==0.15.4 - bidict==0.21.4 - blinker==1.4 - boto3==1.20.28 - botocore==1.23.28 - CacheControl==0.12.10 - cachy==0.3.0 - certifi==2021.10.8 - chardet==4.0.0 - clang==5.0 - cleo==0.8.1 - clikit==0.6.2 - colorama==0.4.4 - colorclass==2.2.2 - coloredlogs==15.0.1 - colorhash==1.0.4 - crasht…

hi @itsjhonny ! I successfully installed Rasa on my M1 based on your guide, following up from this thread. Thank you! However, I am running into this when I run rasa train over on terminal: I am not able to interact with the bot after running rasa shell in the terminal. What am I doing wrong? Metal device set to: Apple M1 systemMemory: 8.00 GB maxCacheSize: 2.67 GB /opt/homebrew/Caskroom/miniforge/base/envs/rasadev/lib/python3.8/site-packages/rasa/utils/tensorflow/model_data.py:750: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray np.concatenate(np.array(f)), Epochs: 100%|███████| 100/100 [00:22<00:00, 4.47it/s, t_loss=1.27, i_acc=0.986] 2022-07-21 11:40:13 INFO rasa.nlu.model - Finished training component. 2022-07-21 11:40:13 INFO rasa.nlu.model - Starting to train component EntitySynonymMapper 2022-07-21 11:40:13 INFO rasa.nlu.model - Finished training component. 2022-07-21 11:40:13 INFO rasa.nlu.model - Starting to train component ResponseSelector 2022-07-21 11:40:13 INFO rasa.nlu.selectors.response_selector - Retrieval intent parameter was left to its default value. This response selector will be trained on training examples combining all retrieval intents. 2022-07-21 11:40:13 INFO rasa.nlu.model - Finished training component. 2022-07-21 11:40:13 INFO rasa.nlu.model - Starting to train component FallbackClassifier 2022-07-21 11:40:13 INFO rasa.nlu.model - Finished training component. 2022-07-21 11:40:13 INFO rasa.nlu.model - Successfully saved model into '/var/folders/rt/4dsv7dh93zbdjyj0hzvg12r00000gn/T/tmp525_f13q/nlu' NLU model training completed. Training Core model... 2022-07-21 11:40:20 WARNING rasa.utils.common - Failed to write global config. Error: [Errno 13] Permission denied: '/Users/karan/.config/rasa'. Skipping. 2022-07-21 11:40:20 WARNING rasa.shared.utils.common - The UnexpecTED Intent Policy is currently experimental and might change or be removed in the future 🔬 Please share your feedback on it in the forum (http://forum.rasa.com) to help us make this feature ready for production. Processed story blocks: 100%|█████| 3/3 [00:00<00:00, 3355.44it/s, # trackers=1] Processed story blocks: 100%|█████| 3/3 [00:00<00:00, 1581.17it/s, # trackers=3] Processed story blocks: 100%|█████| 3/3 [00:00<00:00, 381.44it/s, # trackers=12] Processed story blocks: 100%|██████| 3/3 [00:00<00:00, 93.69it/s, # trackers=39] Processed rules: 100%|████████████| 2/2 [00:00<00:00, 5679.49it/s, # trackers=1] Processed trackers: 100%|██████████| 3/3 [00:00<00:00, 3057.82it/s, # action=12] Processed actions: 12it [00:00, 15582.55it/s, # examples=12] Processed trackers: 100%|███████████| 2/2 [00:00<00:00, 5302.53it/s, # action=5] Processed actions: 5it [00:00, 31823.25it/s, # examples=4] Proc…

running rasa shell results in this [Screenshot 2022-07-21 at 1.50.53 PM]

How can I install spacy models?

I could use the miniforge env above to install spacy 3.2.2, it seems there’s no issue. But the issue is now on actually training and running rasa for me :upside_down_face:

I think this is due to resource problem? Maybe you can try with a smaller training set.

Shouldn’t conda activate rasa2-8 be called before calling the pip install ... commands?

Is there a way to install Rasa X? Or is that still a no for the M1 chip.

Created a repo with a step-by-step quickstart document here (for rasa 2.8.27)

ERROR: Failed building wheel for xmlsec ERROR: Could not build wheels for xmlsec, which is required to install pyproject.toml-based projects failed Traceback (most recent call last): File "/Users/faridzuan/miniforge3/lib/python3.10/site-packages/conda/exceptions.py", line 1129, in __call__ return func(*args, **kwargs) File "/Users/faridzuan/miniforge3/lib/python3.10/site-packages/conda_env/cli/main.py", line 80, in do_call exit_code = getattr(module, func_name)(args, parser) File "/Users/faridzuan/miniforge3/lib/python3.10/site-packages/conda/notices/core.py", line 72, in wrapper return_value = func(*args, **kwargs) File "/Users/faridzuan/miniforge3/lib/python3.10/site-packages/conda_env/cli/main_create.py", line 156, in execute result[installer_type] = installer.install(prefix, pkg_specs, args, env) File "/Users/faridzuan/miniforge3/lib/python3.10/site-packages/conda_env/installers/pip.py", line 70, in install return _pip_install_via_requirements(*args, **kwargs) File "/Users/faridzuan/miniforge3/lib/python3.10/site-packages/conda_env/installers/pip.py", line 53, in _pip_install_via_requirements stdout, stderr = pip_subprocess(pip_cmd, prefix, cwd=pip_workdir) File "/Users/faridzuan/miniforge3/lib/python3.10/site-packages/conda_env/pip_util.py", line 41, in pip_subprocess raise CondaEnvException("Pip failed") conda.exceptions.CondaEnvException: Pip failed This is the error im facing during conda enviroment creation

Hi @WTFFARIDZ , please take a look at Rasa Open Source 3.3 launched

An Unofficial Guide to Installing Rasa on an M1 Macbook

Rasa Open Source

Bmirgelbekov (Bmirgelbekov) July 22, 2023, 6:16am 48

hello. I’m facing this error after conda env create -v --name rasatest -f env.yml command

raise CondaEnvException("Pip failed")
conda.exceptions.CondaEnvException: Pip failed

can anyone help me

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An Unofficial Guide to Installing Rasa on an M1 Macbook

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