Please make the flask port configurable. I need to run in on another port than 5000.

I found the documentation on the organization page and they are thorough and helpful, especially the tutorial section.

However, they are hard to find, with a passing mention on the repo page.
I'd suggest

1. Add a link to the docs in the repos about section
2. In the Readme, add a Docs section with links to each section in the docs

This would make it easier for a potential user to get a sense of what the platform is before deciding to install

I uploaded a file by pressing upload, but got an error message because I didn't set a project name.

Instead consider either:

• Disable the upload button until a project name is set (use the disabled prop on the MUI Button)
• Or, add a second button,"select file" and only show the upload button when a name is set and file selected
• BEST, use the material ui stepper To let the user know what needs to be done

I uploaded a file, then I was sent here:

I've just been here. What should I do now ?

As a new user, I'd like you to

1. Give me a confirmation that my data was uploaded successfully.
2. Now that I'm in a new state (Have data) tell me what to do with it.

BTW , terminal shows this:

So I guess things went well

Greetings! When trying to run the application in Python 3.8.10 with dataqa run I get dataqa: command not found (installation with pip was successful). Do you know what could be the issue?

The screenshots in the README don't look "nice" and don't help me understand what the tool does.

I'd consider replacing them with one video or animated gif that highlights the core differentiator of the tool, which is (rule based) search.

Show me one quick video that makes me say wow instead of enumerating capabilities with screenshots

The README opens with a welcome message and a logo, but it doesn't tell me why I might want to use this.

I happen to be in the industry and think about this stuff a lot, so it clicks for me quick. But at this stage of the project, you're probably looking for early adopters who would try it out, and you need to tell them what's the best thing that could happen to them if they do. e.g. "Instead of spending days labeling data you can write a few rules with dataqa and get X,Y,Z in minutes "

I have a csv but the text column is named content, not text.
As a new user, I have a limited "grace budget" for onboarding, and it doesn't cover opening the csv and renaming the column. I don't yet know what dataqa is, so I can't be bothered (hypothetically).
Thus when I get the following, I will churn:

I'd suggest detecting column names and letting the user select the relevant column. You can use PapaParse to parse a csv client side and then let the user select the proper column

When I run the docker container I get:

Exception in thread "main" java.io.IOException: Cannot run program "/usr/local/lib/python3.9/dist-packages/dataqa_es/server/elasticsearch-7.9.2/jre-15/bin/java": error=0, Failed to exec spawn helper: pid: 214, exit value: 1

at java.base/java.lang.ProcessBuilder.start(ProcessBuilder.java:1142)

at java.base/java.lang.ProcessBuilder.start(ProcessBuilder.java:1073)

at org.elasticsearch.tools.launchers.JvmErgonomics.flagsFinal(JvmErgonomics.java:114)

at org.elasticsearch.tools.launchers.JvmErgonomics.finalJvmOptions(JvmErgonomics.java:88)

at org.elasticsearch.tools.launchers.JvmErgonomics.choose(JvmErgonomics.java:59)

at org.elasticsearch.tools.launchers.JvmOptionsParser.jvmOptions(JvmOptionsParser.java:137)

at org.elasticsearch.tools.launchers.JvmOptionsParser.main(JvmOptionsParser.java:95)

Caused by: java.io.IOException: error=0, Failed to exec spawn helper: pid: 214, exit value: 1

at java.base/java.lang.ProcessImpl.forkAndExec(Native Method)

at java.base/java.lang.ProcessImpl.<init>(ProcessImpl.java:313)

at java.base/java.lang.ProcessImpl.start(ProcessImpl.java:244)

at java.base/java.lang.ProcessBuilder.start(ProcessBuilder.java:1109)

... 6 more

Please mention when applicable:

• Docker version 20.10.12, build e91ed5
• Latest dataqa/dataqa
• macOS Monterey Version 12.1.

The README specifies extra work if I'm using Python >3.7.
I don't want to do extra work or even check what version of python I'm on. For potential users, having to deal with installation hassle is a turn off.

You, as package maintainer, can make my life easier and get more users by overriding snorkels dependency on networkx 2.5 in the setup.py file

Thank you for the library.

I am unable to install it locally:

Environment:
MacOSX (Big Sur 11.5.2)
Used python virtualenv (python v3.9.6)

(vtest) dev@npl:(~/Downloads) % pip install dataqa

Collecting dataqa
  Downloading dataqa-1.0.2-py3-none-any.whl (16.1 MB)
     |████████████████████████████████| 16.1 MB 5.4 MB/s
Collecting pandas==0.25.0
  Downloading pandas-0.25.0.tar.gz (12.6 MB)
     |████████████████████████████████| 12.6 MB 1.2 MB/s
Collecting requests==2.23.0
  Downloading requests-2.23.0-py2.py3-none-any.whl (58 kB)
     |████████████████████████████████| 58 kB 6.3 MB/s
Collecting scikit-learn==0.21.3
  Downloading scikit-learn-0.21.3.tar.gz (12.2 MB)
     |████████████████████████████████| 12.2 MB 6.0 MB/s
Collecting dataqa
  Downloading dataqa-1.0.1-py3-none-any.whl (16.1 MB)
     |████████████████████████████████| 16.1 MB 5.6 MB/s
ERROR: Cannot install dataqa==1.0.1 and dataqa==1.0.2 because these package versions have conflicting dependencies.

The conflict is caused by:
    dataqa 1.0.2 depends on dataqa-es==0.0.2
    dataqa 1.0.1 depends on dataqa-es==0.0.1

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies
WARNING: You are using pip version 21.1.2; however, version 21.2.4 is available.
You should consider upgrading via the '/Users/nabin/Downloads/vtest/bin/python -m pip install --upgrade pip' command.

Tried to install and got an error message

Please mention when applicable:

• python version 3.6.9
• OS version Ubuntu 18
• browser version NA
• version of dataqa 1.0.6

So I uploaded data and made a project.
I got excited when I could add a rule, but I don't have any classes defined and I don't know where to add them.

I went to projects but I couldn't find a way to add classes

As a new user, I have churned now