# Problems - Installation **URL:** \ **Category:** Uncategorized\ **Tags:** install\ **Created:** [November 26, 2022, 9:17am UTC](https://support.prodi.gy/t/problems-installation/6146 "2022-11-26T09:17:29Z")\ **Posts on this page:** 4\ **Page:** 1
**Author:** ![JFernando](https://avatars.discourse-cdn.com/v4/letter/j/49beb7/32.png) [@JFernando](https://support.prodi.gy/u/JFernando)\ **Post date:** [November 26, 2022, 9:17am UTC](https://support.prodi.gy/t/problems-installation/6146/1 "2022-11-26T09:17:29Z")
Hi all. I hate to do this, but I have stupid questions I have to ask because I am very beginner and I have not found answers to these simple questions. Following the installation guide published in Prodigy library, I was able to install general requirements, and actually, I was able to read the file in which annotations are required: ```python # 3. Activar ambiente virtual (Anaconda Prompt). python -m venv venv Ivenv\ Scripts\ activate # 4. Instalar Prodigy (Anaconda Prompt). python -m pip install prodigy -f https://xxxx-xxxx-xxxx-xxxx@download.prodi.gy #Key prov # 5. Instalar Spacy (Anaconda Prompt). python -m spacy download en core web sm # 6. Instalar Jupyter Lab (Anaconda Prompt). pip install jupyterlab›=3.0.0 pip install jupyterlab-prodigy # 7. Verificar instalación (Anaconda Prompt). jupyter labextension list # 8. Instalar node. js (Anaconda Prompt). conda update -n base -c defaults conda conda install -c conda-forge nodejs # 9. Instalar JupyterLab-Prodigy (Anaconda Prompt). jupyter labextension install jupyterlab-prodigy #jupyter lab # 8. Lanzamiento de plataforma con base lista para evaluación! python -m prodigy ner.manual my set blank: en "C: /Users/FERNANDO GUDIÑO/Documents/PreDoc/ ``` And all seems to work correctly! I can save annotations just pressing the "Save" button in the upper part: ![image](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/e/e80aafd36f2d94493d0f7ef238e67afc4119df4a.png) However, **I cannot really understand how to save annotations** in a .jsonl file. Replacing "my\_set" with some path for saving the dataset into a .jsonl file does not work at all, so I re-read documentation and I found that there is another command line I could use for saving this dataset: ![image](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/9/94f95043ece1704ffa229731856aabc7d3d5414c.png) The problem is, **where could I run this line as the other line is running so there is no way to interrupt the process (close port 8080) and then save the dataset?**. This process cannot be stopped for saving. ![image](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/c/c6b16be3b4c14d72f61cd4a639f9cb028fc745f1.png) Trying Jupyer Lab is not working at all: ![image](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/b/b03402b992288256023f8a0274c49b774c3c6331.png) As probably the solution is very easy but I am lost, I apollogize for my terrible understanding. i am just trying to solve independently problems but I am stuck in this. Cheers, Fernando, ---
**Author:** ![ryanwesslen](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ryanwesslen/32/2969_2.png) [@ryanwesslen](https://support.prodi.gy/u/ryanwesslen)\ **Post date:** [November 26, 2022, 4:40pm UTC](https://support.prodi.gy/t/problems-installation/6146/2 "2022-11-26T16:40:30Z")
hi @JFernando! Thank you for your questions and welcome to the Prodigy community 👋 Please don't worry at all about your questions! We're happy to have you join us and this is **exactly** what this forum is here for! > [@JFernando](#): > > **where could I run this line as the other line is running so there is no way to interrupt the process (close port 8080) and then save the dataset?**. So your data is automatically being saved into a SQLite database. So it's really how to access or export that. You're right -- you can't run `db-out` on the same terminal that is actively running Prodigy and serving annotations. However, you could also open a second concurrent terminal. Then you could run try to export (e.g., run `db-out`) or you can access your data through the Python component functions to connect directly to the database like: ```python from prodigy.components.db import connect import srsly db = connect() examples = db.get_dataset("my_dataset") print(examples[0]) # to see an example srsly.write_jsonl("my_annotations.jsonl", examples) ``` However, more commonly, after you've run a session and annotated (and click the save button), you'd shut down your session by pressing CTRL + C. Then try `db-out` or using the Python DB component. Two other points for future posts. Thanks for the details (we really appreciate it b/c it's clear you're learning) but please avoid posting images of code. Images of screenshots is great (thank you) but images of code isn't searchable and it's hard to copy/paste. This blog uses Markdown so you can add code chunks with ``` to show when the code begins/ends or use the code button. Also, I needed to remove your image and replaced it with code b/c you accidentally posted your Prodigy license key 🙂 Hope this helps and let us know if you make progress or have further questions! ---
**Author:** ![JFernando](https://avatars.discourse-cdn.com/v4/letter/j/49beb7/32.png) [@JFernando](https://support.prodi.gy/u/JFernando)\ **Post date:** [November 28, 2022, 8:02am UTC](https://support.prodi.gy/t/problems-installation/6146/3 "2022-11-28T08:02:08Z")
Dear @ryanwesslen. Thanks a lot for your answer! I have a question. After creation of localhost, I would like to create an URL such that other persons can enter and annotate but the dataset is saved into my folder. Is it possible? Cheers, Fernando. ---
**Author:** ![ryanwesslen](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ryanwesslen/32/2969_2.png) [@ryanwesslen](https://support.prodi.gy/u/ryanwesslen)\ **Post date:** [November 28, 2022, 2:58pm UTC](https://support.prodi.gy/t/problems-installation/6146/4 "2022-11-28T14:58:54Z")
hi @JFernando! Are you running Prodigy on a local machine (e.g., a personal laptop/desktop)? If so, the easiest approach may be to use a service like ngrok: > [@Tip: Making a local Prodigy service externally accessible with ngrok.com](https://support.prodi.gy/t/tip-making-a-local-prodigy-service-externally-accessible-with-ngrok-com/369): > > Sometimes you want the server running on your dev machine to be accessible to someone else — or even just yourself, so you can do some annotation on the train or from the couch with your mobile device. I haven’t tried it yet, but this service looks like it should be useful: [https://ngrok.com](https://ngrok.com) Has anyone used this for other projects? They have a free tier, and the full service isn’t very expensive. If you try it out, let us know how it goes! My colleague @koaning has a [great tutorial](https://calmcode.io/ngrok/the-problem.html) on ngrok at [calmcode.io](http://calmcode.io) (I personally highly recommend it for many Python libraries!). Alternatively, you can set your localhost to `0.0.0.0` but this is usually better for servers where you also likely need to set up reverse proxies/https, login/authentication, and open up ports and manage firewalls: > [@Accessing prodigy from outside](https://support.prodi.gy/t/accessing-prodigy-from-outside/1608/4): > > Ah, I'm not really suggesting ngrok as a "solution" – it's just a handy tool that makes it easy to try things locally and quickly mirror your localhost. It's the quickest way to get started and it's a popular tool with a premium plan that includes encryption – I haven't heard anything negative about it. Yes, you should be able to set that up with a reverse proxy – also see here: But all of those requires a strong knowledge of networking and may be a lot of work if you're new to it. Also, in the last post I attached, be sure to see the follow up comment on using [named multi-user sessions](https://prodi.gy/docs/api-web-app#multi-user-sessions) too with ngrok. This can help you track multiple users' sessions. Hope this helps!