I'd first tried to install the conceptarium on the preinstalled 32-bit Pi OS, which failed because I could not get Streamlit to run.

Then I've tried it with the new 64-bit version of Pi OS. Streamlit works now, but the Pytorch-version linked in the readme could not be installed.

Have you managed to install the conceptarium on Raspberry Pi OS? If not, which OS have you been using, so that I can try that out?

I've installed it via Docker and entered a token at localhost:8501. But I can't access it through the Curl or Request URL provided in the docs. Check custodian results in "{"custodian":false,"authorized_microverse":[]} and /save in "Only the conceptarium's custodian can save thoughts in it."

One thing that came to mind: I've used special characters in the token. Could the issue be with the URL encoding?

Hi, I'm someone from a non-coding background so I have some difficulties following the instructions in the installation guide. Can you elaborate more on the installation guide (a step-by-step installation procedure would be great) in readme so that individuals from non-technical backgrounds can also make use of this wonderful resource.

Additionally can you explain how I can self-host this application using a salvaged desktop?

Unfortunately I have to open another issue, but we're getting there.

• my token works now
• I can save thoughts, or at least I get a response with a filename, metadata, and the embeddings

However, I cannot query for those thoughts. Through the API I just get an internal server error, but through the interface there are more details:

JSONDecodeError: Expecting value: line 1 column 1 (char 0) Traceback: File "/usr/local/lib/python3.9/site-packages/streamlit/script_runner.py", line 379, in _run_script exec(code, module.dict) File "/app/main.py", line 19, in component.paint() File "/app/components/navigator.py", line 25, in paint st.session_state['authorized_thoughts'] = knowledge.load( File "/app/components/knowledge.py", line 45, in load content = json.loads(response.content) File "/usr/local/lib/python3.9/json/init.py", line 346, in loads return _default_decoder.decode(s) File "/usr/local/lib/python3.9/json/decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "/usr/local/lib/python3.9/json/decoder.py", line 355, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None

Hey @paulbricman - really neat work! I'm deploying the conceptarium, ideoscope and lexiscore in docker via docker-compose.

Quick question: where is the core data stored?

I'd like to add a volume mount my config so that I can take backups of the data. I looked at the source code and saw the metadata pickle, but this seems to live in /app.

My imported knowledge folder should have gone into the base conceptarium directory, not the main user folder as was the case with the Docker version.

Still: Shouldn't it have created such a folder for me when I first try to log in?

Based on #25

I've installed the new version of the conceptarium on MacOS following the Docker approach. During the installation there were no errors, but now I cannot get the Docker image to run.

The frontend image exits immediately after starting it, with the following error in the log: Error: Invalid value: File does not exist: main.py Usage: streamlit run [OPTIONS] TARGET [ARGS]... Try 'streamlit run --help' for help.

The backend image does show as "Running", but looking at the log there is also an error: INFO: Will watch for changes in these directories: ['/app'] INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit) INFO: Started reloader process [8] using watchgod ERROR: Error loading ASGI app. Could not import module "main".

While deploying with the docker-compose up -d command, I get the following error in the conceptarium_frontend container.

AttributeError: module 'click' has no attribute 'get_os_args'

It is resolved by adding 'click' in frontend/requirements.txt

Your online instance hosted on Hugging Face is currently facing an issue, the one you link from your blog:

FileNotFoundError: [Errno 2] No such file or directory: 'components'
Traceback:

File "/home/user/.local/lib/python3.8/site-packages/streamlit/script_runner.py", line 354, in _run_script
    exec(code, module.__dict__)
File "/home/user/app/frontend/main.py", line 12, in <module>
    microverses.paint()
File "frontend/components/microverses.py", line 24, in paint
    components = [e.split('.')[0] for e in os.listdir('components') if e.endswith(

Unrelated, but thank you for the interesting write-ups!

Since you've changed the way the authorization works, the automatically generated API requests at localhost:8000/docs are not correct, because the token is not included anywhere in the output. After some trial and error, I've found out what works now (add -H 'authorization: Bearer <token>'\ to the curl request), but this might be an issue for someone just trying it out and relying on the requests provided by the docs.

The state of the art can be found here: https://paperswithcode.com/sota/semantic-textual-similarity-on-sts-benchmark

Other benchmarcks: https://paperswithcode.com/task/semantic-textual-similarity

I'm now curious how to save these notes. I was initially assuming that all text files in the knowledge folder would show up as notes here, but it seems at least the note I placed there is not showing, again I'm sure I'm doing something wrong.