Running RASA on the RPi 4 with Raspbian Buster!

Hello RASA Community!

It is with great pleasure that I can share the results of hard-work spearheaded by @JulianGerhard and myself about how to install and run RASA on the RPi 4 having Raspbian Buster installed on the computer!

Please keep in mind, these instructions may still have issues - please post if you find anything wrong with it. :smiley:


Here are the instructions

  1. First, prepare a fresh installation of Raspbian Buster (Lite) on your Pi.
  2. Copy the following script into a file called install.sh:
# Update the Raspberry Pi
sudo apt-get update
sudo apt-get upgrade -y 
sudo apt-get dist-upgrade -y

# Install initial build dependencies
# Provides 
# Enables pip3.6 to access pypi
sudo apt-get install libbz2-dev libssl-dev -y 

# Get and install Python3.6
wget https://www.python.org/ftp/python/3.6.8/Python-3.6.8.tar.xz
tar -xvf Python-3.6.8.tar.xz
cd Python-3.6.8
sudo ./configure
sudo make -j4
sudo make install

# Update Python3.6 packages
python3.6 -m pip install --upgrade pip setuptools --user

# Install additional dependencies
# Enables access to Tensorflow whl
# Dependency for the h5py python package
sudo apt-get install python3-pip libhdf5-dev -y

# Install Tensorflow
python3.6 -m pip install tensorflow==1.14.0 --user

# Install OpenCV Dependencies
sudo apt-get install build-essential cmake unzip pkg-config -y
sudo apt-get install libjpeg-dev libpng-dev libtiff-dev -y
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev -y
sudo apt-get install libxvidcore-dev libx264-dev -y
sudo apt-get install libgtk-3-dev -y
sudo apt-get install libcanberra-gtk* -y
sudo apt-get install libatlas-base-dev gfortran -y
sudo apt-get install python3-dev -y

# Download OpenCV and clarify naming scheme
cd ~
wget -O opencv.zip https://github.com/opencv/opencv/archive/4.0.0.zip
wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.0.0.zip
unzip opencv.zip
unzip opencv_contrib.zip
mv opencv-4.0.0 opencv
mv opencv_contrib-4.0.0 opencv_contrib

cd ~/opencv
mkdir build
cd build

cmake -D CMAKE_BUILD_TYPE=RELEASE \
    -D CMAKE_INSTALL_PREFIX=/usr/local \
    -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules \
    -D ENABLE_NEON=ON \
    -D ENABLE_VFPV3=ON \
    -D BUILD_TESTS=OFF \
    -D OPENCV_ENABLE_NONFREE=ON \
    -D INSTALL_PYTHON_EXAMPLES=OFF \
    -D BUILD_EXAMPLES=OFF ..

# Increasing swap size to make OpenCV
SWAPSIZE=2048
sed -i "s/^CONF_SWAPSIZE.*/CONF_SWAPSIZE=${SWAPSIZE}/" /etc/dphys-swapfile

# Restarting swap service
sudo /etc/init.d/dphys-swapfile stop
sudo /etc/init.d/dphys-swapfile start

# Make OpenCV
make -j4

# Install OpenCV
sudo make install
sudo ldconfig

# Reseting swap size
SWAPSIZE=100
sed -i "s/^CONF_SWAPSIZE.*/CONF_SWAPSIZE=${SWAPSIZE}/" /etc/dphys-swapfile

# Restarting swap service
sudo /etc/init.d/dphys-swapfile stop
sudo /etc/init.d/dphys-swapfile start

# Link cv2 to Python3.6
cd /usr/local/lib/python3.6/site-packages/
sudo ln -s /usr/local/python/cv2/python-3.6/cv2.cpython-36m-arm-linux-gnueabihf.so cv2.so

# In case git is not installed
sudo apt-get install git -y

# Getting codebases for spaCy, tensor2tensor, and RASA
# NOTE: This is hard-coded for rasa-1.4.0 right now - let's make it more elegant soon
cd ~
git clone https://github.com/explosion/spaCy
git clone https://github.com/tensorflow/tensor2tensor
git clone https://github.com/google/dopamine.git
wget https://github.com/RasaHQ/rasa/archive/1.4.0.zip && unzip 1.4.0.zip 

# Installing spaCy
export BLIS_ARCH=generic
cd ~/spaCy
python3.6 -m pip install -r requirements.txt --user
python3.6 setup.py build_ext --inplace
python3.6 -m pip install . --user

# Installing dopamine-rl
cd ~/dopamine
sed -i '/opencv-python/d' setup.py
python3.6 -m pip install . --user

# Installing tensor2tensor
cd ~/tensor2tensor
sed -i '/opencv-python/d' setup.py
sed -i '/dopamine-rl/d' setup.py
python3.6 -m pip install . --user --force-reinstall

# Installing other RASA dependencies
sudo apt install libpq-dev/buster -y 
python3.6 -m pip install psycopg2 --user

# Installing RASA
cd ~/rasa-1.4.0
sed -i '/tensor2tensor/d' setup.py
sed -i '/tensor2tensor/d' requirements.txt
python3.6 -m pip install -r requirements.txt --user --force-reinstall
python3.6 -m pip install . --user --force-reinstall

# Script exit
echo ""
echo ""
echo "------------------------------------------------------------"
echo "Congratulations! Rasa is now installed on your Raspberry Pi."
echo "To test rasa out, run python3.6 -m rasa init and start "
echo "creating your bot!"
  1. Execute the following: sudo chmod +x install.sh on the Raspberry Pi
  2. Execute the following: ./install.sh on the RPi. Please note that installation will take a very long time (~3 hours or so). Grab a tea (I recommend a London Fog), go for a run, read a book and come back later!
  3. You will have some folders and files leftover in your home directory so feel free to delete those now that everything is installed.

THANK YOU!

I would certainly like to thank @JulianGerhard21 for all the fantastic assistance, input, and massively heavy lifting. Without Julianโ€™s input, none of this would be possible. I have had a wonderful time working together here and learned a lot from you and this process - a โ€œthank youโ€ cannot do you enough justice butโ€ฆ THANK YOU

I would also like to thank @jrosebr for his awesome instructions that I adapted here for installing OpenCV.

Finally, a huge thank you to the RASA team (@Tobias_Wochinger and @akelad). Thank you for making this wonderful product and I am excited to see how we can all use it on resource-constrained devices!

7 Likes

Thanks for all your work @TheCedarPrince @JulianGerhard,

Unfortunately I didnโ€™t have the chance to test it out myself because I donโ€™t own a raspberry pi 4. Did anybody have a chance to do so? Would love to hear your feedback!

Continuing the discussion from Running RASA on the RPi 4 with Raspbian Buster!:

hello๏ผŒwhy? Have a error,โ€œpip is configured with locations that require TLS/SSL, however the ssl module in Python is not availableโ€ when i run python3.6 -m pip install --upgrade pip setuptools --user, thanks

1 Like

@1535966643 Did you run this command sudo apt-get install libbz2-dev libssl-dev -y before you tried installing the setuptools?

PLEASE NOTE:

ANYONE STRUGGLING WITH ISSUES IN THE INSTALL PLEASE INCLUDE THE FOLLOWING IN YOUR POST HERE:

  • Traceback of your error
  • Where exactly the script failed
  • The output of python3.6 -m pip freeze

I do not have the time to parse the error without this information - this will help me get to the error as fast as possible.

Thank You!

~ TheCedarPrince

I had to remove dopamine from the tensor2tensor setup.py file as suggested in the github issue.

Iโ€™ve posted a modified install script as a gist and I now have Rasa running on a Raspberry Pi 4!

3 Likes

Awesome @stephens! Glad this could help you out! I will modify the main script here for future users. Have fun with the RasaPi!

Hello @TheCedarPrince,

I found this to be very interesting. But since iโ€™m kinda a noob, i donโ€™t really understand what it means to be able to run Rasa on RPi. Does it mean that i can run a model on RPi ? Can i run the Rasa server in RPi too ? For example if i have a voice recognition module interface with the RPi, i can extract the text, send that message to a Rasa server running in RPi and predict intents, etcโ€ฆ such as โ€˜turn off the lightโ€™ and control the peripheral PINs correspondingly ?

Hey @fuih,

That is exactly what it means - you should be able to run a server on the RPi. I have been able to successfully train and create a model on the RPi.

It sounds like you are working on an end2end personal assistant project - you can think of RASA in this case acting as the brain for your system. And it can do that. The whole reason why I decided to work with RASA was that I saw it had the flexibility to do all this.

If you are curious, here was the criterion I used to assess RASA:

Screenshot_20191108_105054

And believe it or not, RASA checked off everything on this list.

Now, I think all the rest you have to do @fuih is to let your imagination run wild and see what you can do. :smiley: If you need any help getting this running on your RPi, we are here to support you!

Good luck making your RasaPi!

Yours, TheCedarPrince

2 Likes

ไฝ ๅฅฝ๏ผŒๆˆ‘็กฎๅฎž่ฟ™ๆ ท่ฟ่กŒไบ†๏ผŒไฝ†่ฟ˜ๆ˜ฏไธ่กŒ๏ผˆ่ฆๅฅ”ๆบƒไบ†๏ผ‰ใ€‚ๆˆ‘็š„ๆ ‘่Ž“ๆดพๆ˜ฏ4B๏ผŒpython็ณป็ปŸไธบ2.7ๅ’Œ3.7๏ผŒๆˆ‘ๆƒณ็Ÿฅ้“ๆˆ‘่ƒฝไธ่ƒฝๅœจ3.7ไธŠๅฎ‰่ฃ…๏ผŒๅ› ไธบๅฎ‰่ฃ…py3.6ไธ€็›ดๆœ‰้—ฎ้ข˜๏ผŒ่ฟ˜ๆœ‰ๅฏนrasa็š„็‰ˆๆœฌๆœ‰ไป€ไนˆ่ฆๆฑ‚ๅ—๏ผŸ๏ผˆๅ‰้ขๆˆ‘ๅฎ‰่ฃ…๏ผŒrasaๅœจrasa initๆ—ถๅ€™ๅ‘็”Ÿ้”™่ฏฏ๏ผ‰

ๆŠฑๆญ‰๏ผŒ่‹ฑ่ฏญๅพˆๅทฎ๏ผŒๅช่ƒฝไธญๆ–‡็ป™ๆ‚จ็•™่จ€ใ€‚ๅฏนไธŠ้ขๆˆ‘็š„ๆ ‘่Ž“ๆดพ็š„้…็ฝฎ๏ผŒๆ‚จๆœ‰ไป€ไนˆๅปบ่ฎฎๅ—๏ผŸๆ€Žไนˆๆ ทๆ‰่ƒฝๅฎ‰ๅ…จ้กบๅˆฉๅฎ‰่ฃ…rasaๅ‘ข๏ผŸ่ฟ˜ๆœ‰ไธ€ไธช้—ฎ้ข˜๏ผŒpipๅฎ‰่ฃ…ๆ—ถๅ€™ๆฒกๆœ‰1.14.0็š„TensorFlowใ€‚ๅ…ˆ่ฐข่ฐขไฝ 

Hey @1535966643,

I am using a translator - I am using simple words in English.

The tutorial was not made for Python 3.7. I cannot provide help there.

It is a good question to ask on the forum. I suggest making another post and ask about how to use python3.7 with the raspberry pi.

Thank you @TheCedarPrince, this is very awesome. Is there any hardware requirement of the RPi4 that we have to meet ? From what i see RPi4 can come with 1,2 or 4GB RAM, which one should be enough to run Rasa normally ?

Great question! I highly suggest the RPi4 with 4GB of RAM. I have not tested it otherwise and I do not know if it would work with less RAM.

Thank you @TheCedarPrince for the install-script. Iโ€™ve installed it in 32bit-mode on Rasbian (Buster) to the Pi4 with 4gb, After that, i saw that the Editor โ€œVisual Studio Codeโ€ needs an 64bit-System to install. Is it enough to set the bootmode in raspbian to 64bit after the installation, or do I have to restart the installation?

Then i installed RASA X with some Errormassages โ€ฆ

pi@pi4:~ $ pip install rasa-x --extra-index-url Simple Index Looking in indexes: Simple index, piwheels - Simple index, Simple Index Collecting rasa-x Downloading https://pypi.rasa.com/api/package/rasa-x/rasa-x-0.22.2.tar.gz (1.6MB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1.6MB 1.7MB/s Installing build dependencies โ€ฆ done Getting requirements to build wheel โ€ฆ done Preparing wheel metadata โ€ฆ done Collecting rasa~=1.4.0 Downloading https://files.pythonhosted.org/packages/63/a0/00d1cb8cb7d9f6c8a3c97a0688fa6c621e5698a4fceafbc5bf348a1ea721/rasa-1.4.3-py3-none-any.whl (518kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 522kB 1.5MB/s Collecting aiohttp~=3.5 Downloading https://files.pythonhosted.org/packages/c2/f7/f0ad3dbace4762fef5d80aa4124b41bf218e4c4dd6d387a86cede707d9a4/aiohttp-3.6.2-py3-none-any.whl (441kB) 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https://www.piwheels.org/simple/terminaltables/terminaltables-3.1.0-py3-none-any.whl Collecting scipy~=1.2 Using cached https://files.pythonhosted.org/packages/df/20/2f147945396fa74b467d696e42aa55eb603d166490a8ebe4d79e54c793df/scipy-1.3.2.tar.gz Installing build dependencies โ€ฆ done Getting requirements to build wheel โ€ฆ done Preparing wheel metadata โ€ฆ done Collecting colorhash~=1.0 Downloading https://files.pythonhosted.org/packages/0e/e1/50dbc513aa74e99eca4c47f2a8206711f0bec436fdddd95eebaf7eaaa1aa/colorhash-1.0.2-py2.py3-none-any.whl Collecting coloredlogs~=10.0 Downloading https://files.pythonhosted.org/packages/08/0f/7877fc42fff0b9d70b6442df62d53b3868d3a6ad1b876bdb54335b30ff23/coloredlogs-10.0-py2.py3-none-any.whl (47kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 51kB 1.2MB/s Collecting redis~=3.3.5 Downloading https://files.pythonhosted.org/packages/32/ae/28613a62eea0d53d3db3147f8715f90da07667e99baeedf1010eb400f8c0/redis-3.3.11-py2.py3-none-any.whl (66kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 71kB 2.3MB/s Collecting slackclient~=1.3 Downloading https://www.piwheels.org/simple/slackclient/slackclient-1.3.2-py2.py3-none-any.whl Collecting networkx~=2.3.0 Downloading https://files.pythonhosted.org/packages/85/08/f20aef11d4c343b557e5de6b9548761811eb16e438cee3d32b1c66c8566b/networkx-2.3.zip (1.7MB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1.8MB 8.6MB/s Collecting gast==0.2.2 Downloading https://www.piwheels.org/simple/gast/gast-0.2.2-py3-none-any.whl Collecting tensorflow-probability~=0.7.0 Using cached https://files.pythonhosted.org/packages/3e/3a/c10b6c22320531c774402ac7186d1b673374e2a9d12502cbc8d811e4601c/tensorflow_probability-0.7.0-py2.py3-none-any.whl Collecting async-generator~=1.10 Downloading https://files.pythonhosted.org/packages/71/52/39d20e03abd0ac9159c162ec24b93fbcaa111e8400308f2465432495ca2b/async_generator-1.10-py3-none-any.whl Collecting twilio~=6.0 Downloading https://www.piwheels.org/simple/twilio/twilio-6.33.0-py2.py3-none-any.whl (1.0MB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1.0MB 792kB/s Collecting tensorflow~=1.14.0 Downloading https://www.piwheels.org/simple/tensorflow/tensorflow-1.14.0-cp36-none-linux_armv7l.whl (100.7MB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 100.7MB 12kB/s Collecting rasa-sdk~=1.4.0 Downloading https://files.pythonhosted.org/packages/d1/b5/efcc3572366efb0b293ff2251510eafd62636a9c70b0d6b691340b05e005/rasa_sdk-1.4.0-py2.py3-none-any.whl Collecting matplotlib~=3.0 Downloading https://files.pythonhosted.org/packages/12/d1/7b12cd79c791348cb0c78ce6e7d16bd72992f13c9f1e8e43d2725a6d8adf/matplotlib-3.1.1.tar.gz (37.8MB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 37.8MB 35kB/s Collecting scikit-learn~=0.20.2 Downloading https://files.pythonhosted.org/packages/20/a0/5ec20d7e460d8ebde9ec5e40cda4339c5f546871c3a5bf9228f615b25618/scikit-learn-0.20.4.tar.gz (11.7MB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 11.7MB 79kB/s Collecting tensor2tensor~=1.14.0 Downloading https://files.pythonhosted.org/packages/20/eb/7159c5a12880c496893a5bf7242c23fdb4eed47ade683d111f2f2d4009b4/tensor2tensor-1.14.1-py2.py3-none-any.whl (1.6MB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1.6MB 9.4MB/s Collecting pytz~=2019.1 Downloading https://files.pythonhosted.org/packages/e7/f9/f0b53f88060247251bf481fa6ea62cd0d25bf1b11a87888e53ce5b7c8ad2/pytz-2019.3-py2.py3-none-any.whl (509kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 512kB 7.9MB/s Requirement already satisfied: tqdm~=4.0 in ./.local/lib/python3.6/site-packages (from rasa~=1.4.0->rasa-x) (4.38.0) Collecting absl-py>=0.8.0 Using cached https://www.piwheels.org/simple/absl-py/absl_py-0.8.1-py3-none-any.whl Collecting colorclass~=2.2 Downloading https://www.piwheels.org/simple/colorclass/colorclass-2.2.0-py3-none-any.whl Collecting gevent~=1.4 Using cached https://files.pythonhosted.org/packages/ed/27/6c49b70808f569b66ec7fac2e78f076e9b204db9cf5768740cff3d5a07ae/gevent-1.4.0.tar.gz Collecting ruamel.yaml~=0.15.0 Downloading https://files.pythonhosted.org/packages/9a/ee/55cd64bbff971c181e2d9e1c13aba9a27fd4cd2bee545dbe90c44427c757/ruamel.yaml-0.15.100.tar.gz (318kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 327kB 9.6MB/s Collecting python-engineio>=3.9.3 Downloading https://files.pythonhosted.org/packages/9b/fb/843f043988306d12f27ae62a82ce26edc7513580e5e089b4911326879f7e/python_engineio-3.10.0-py2.py3-none-any.whl (120kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 122kB 8.8MB/s Collecting fbmessenger~=6.0 Downloading https://files.pythonhosted.org/packages/bd/e9/646684226176782b9e3b7dd5b35d7ecfd1d13cba24ad2e33255079921aab/fbmessenger-6.0.0-py2.py3-none-any.whl Collecting pykwalify~=1.7.0 Downloading https://files.pythonhosted.org/packages/36/9f/612de8ca540bd24d604f544248c4c46e9db76f6ea5eb75fb4244da6ebbf0/pykwalify-1.7.0-py2.py3-none-any.whl (40kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 40kB 2.3MB/s Collecting mattermostwrapper~=2.0 Downloading https://files.pythonhosted.org/packages/93/70/203660597d12788e958dd691aa11c3c29caa075eadb2ce94d2eb53099d1b/mattermostwrapper-2.1-py2.py3-none-any.whl Collecting jsonpickle~=1.1 Downloading https://files.pythonhosted.org/packages/07/07/c157520a3ebd166c8c24c6ae0ecae7c3968eb4653ff0e5af369bb82f004d/jsonpickle-1.2-py2.py3-none-any.whl Collecting webexteamssdk~=1.1 Downloading https://www.piwheels.org/simple/webexteamssdk/webexteamssdk-1.2-py3-none-any.whl (82kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 92kB 777kB/s Collecting pydot~=1.4 Downloading https://files.pythonhosted.org/packages/33/d1/b1479a770f66d962f545c2101630ce1d5592d90cb4f083d38862e93d16d2/pydot-1.4.1-py2.py3-none-any.whl Collecting python-socketio>=4.3.1 Downloading https://files.pythonhosted.org/packages/35/b0/22c3f785f23fec5c7a815f47c55d7e7946a67ae2129ff604148e939d3bdb/python_socketio-4.3.1-py2.py3-none-any.whl (49kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 51kB 2.0MB/s Collecting pymongo[srv,tls]~=3.8 Downloading https://files.pythonhosted.org/packages/c0/69/9388b715d013444ae8e5d497a6825d120f6a7a67ef5aa8ddea62f601cbff/pymongo-3.9.0.tar.gz (701kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 706kB 9.0MB/s Requirement already satisfied: numpy~=1.16 in ./.local/lib/python3.6/site-packages (from rasa~=1.4.0->rasa-x) (1.17.3) Collecting sklearn-crfsuite~=0.3.6 Downloading https://files.pythonhosted.org/packages/25/74/5b7befa513482e6dee1f3dd68171a6c9dfc14c0eaa00f885ffeba54fe9b0/sklearn_crfsuite-0.3.6-py2.py3-none-any.whl Collecting rocketchat-API~=0.6.0 Downloading https://files.pythonhosted.org/packages/89/b5/1b9104733bcadc3d8dc8bcab8f3a73a4ae1dc1de91b4b30fbcb65fa63bd4/rocketchat_API-0.6.35-py3-none-any.whl Requirement already satisfied: setuptools>=41.0.0 in 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idna-ssl>=1.0; python_version < โ€œ3.7โ€ Downloading https://www.piwheels.org/simple/idna-ssl/idna_ssl-1.1.0-py3-none-any.whl Collecting yarl<2.0,>=1.0 Downloading https://files.pythonhosted.org/packages/fb/84/6d82f6be218c50b547aa29d0315e430cf8a23c52064c92d0a8377d7b7357/yarl-1.3.0.tar.gz (159kB) |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 163kB 10.3MB/s Collecting typing-extensions>=3.6.5; python_version < โ€œ3.7โ€ Downloading https://files.pythonhosted.org/packages/03/92/705fe8aca27678e01bbdd7738173b8e7df0088a2202c80352f664630d638/typing_extensions-3.7.4.1-py3-none-any.whl Requirement already satisfied: chardet<4.0,>=2.0 in ./.local/lib/python3.6/site-packages (from aiohttp~=3.5->rasa-x) (3.0.4) Collecting sanic-plugins-framework>=0.8.2 Downloading https://files.pythonhosted.org/packages/ac/a6/258bdd353c22c3ff7f130d1c788f874a88e48d306614d2f622f3bac2576b/Sanic_Plugins_Framework-0.8.2-py2.py3-none-any.whl Requirement already 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Thanks for help!

Hey @Rasatest,

  1. I do not know much about changing the architecture settings on the RPi - the issue of installing VSCode is outside the scope of this issue. Moreover, I tested this in a headless Raspbian image so I do not know how things would work in a desktop in this case.

  2. The area you are getting is when you install Rasa-X from pip. What you need to do is install it from source and remove tensor2tensor, dopamine, and open-cv from itโ€™s setup.py file. Let me know if that works for you. :slight_smile:

TheCedarPrince

hello๏ผŒi has installed rasa๏ผŒending, my infomation of RPI 4 is rasa1.2X,python3.7,tf1.13.1.for example,please use โ€˜pip3 install rasa==1.2.9โ€™ is ok.rasaโ€™s version is very important that must 1.2Xใ€‚

Could you please follow the instructions here and reply? I do not understand what your issue is currently.

It feels like Iโ€™m close to having the RasaPi docker image but itโ€™s not quite there and I havenโ€™t had a chance to get back to it the past week. Iโ€™m posting my Dockerfile on gist. Hoping someone can give it a try.

I installed Docker on my Pi by adding the following line to /etc/apt/sources.list

https://apt.dockerproject.org/repo/ raspbian-RELEASE main

Then run these commands:

sudo apt-get install -y docker.io
sudo apt install python3-pip
sudo pip3 install docker-compose

Then run the build:

sudo docker build .
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Hey @stephens, this looks like a great start.

I am going to break this conversation into another forum post as it pertains more to an issue with Docker rather than getting the Rasa on the Pi. I will tag you in the new post so you can provide more info about what is happening.

TheCedarPrince