I am wondering where I can find the my courses via the File Manager.
I am trying to delete extra images I uploaded.
I can not do so on the Moodle file picker.
I am wondering where I can find the my courses via the File Manager.
I am trying to delete extra images I uploaded.
I can not do so on the Moodle file picker.
@ccfu it is working now. I guess it needs some time to take effect. Thanks!
I am trying to redirect www to non-www domain but cannot get it to work.
I am using Cloudflare. Did I do something wrong here?
Is there a self-hosted app for selling audiobooks with the following features?
This is very easy to solve! You don't need any S3 storage just to serve images. That's like using nuke to bomb an ant. Here is the solution:
Step1: Create a repository on your github account.
Step2: Upload an image (e.g. bot avatar) to your repository.
Step3: Copy the link of your image, then paste to jsdelivr (select "convert from Github").
Step4: Copy the JSdelivr link to your Typebot.
Now, you have a world-class CDN provider serving your image FOR FREE!!!
This link is permanent unless you purge it!
Here is a spreadsheet (comparing infrastructure providers) I found on Reddit.
link text
IMO (my current and near future infrastructure decision):
I just figured out an approach that is much better than using Dockerfile (as described above).
If you are using Huggingface, then you must use Dockerfile.
However, using Dockerfile means the server will build the image from scratch.
This requires at least 2vCPU and 16GB of RAM.
Huggingface offers 2vCPU and 16GB of RAM for free.
But if you are using Coolify, then you have to scale up your server (at least for the building process).
A better way to deploy Flowise is to use a prebuilt image.
Easypanel is actually using this way to deploy Flowise.
The image it is using: flowiseai/flowise:latest
But if you are using Coolify, this image does not work very well. I tried many many times.
I recommand using another image built by Elestio: elestio/flowiseai:latest
Just copy "elestio/flowiseai:latest" and paste it to Coolify, and expose a PORT (such as 3000, 8000), and hit Deploy!
I just watched a Youtube tutorial on Pocketbase.
If you want to connect FlowiseAI with Supabase which supports postgresql, here is what you need to do:
Step 1: create a project on Supabase.
Step 2: click "connect" on the top right, and copy the URL which looks like this:
postgres://postgres.tmunbfajkfjakfdjqlaaepjv:[YOUR-PASSWORD]@aws-0-eu-east-1.pooler.supabase.com:5432/postgres
Step 3: take this URL apart
DATABASE_TYPE=postgres
DATABASE_USER=postgres.tmunbfajkfjakfdjqlaaepjv
DATABASE_PASSWORD=Your Password
DATABASE_HOST=aws-0-eu-east-1.pooler.supabase.com
DATABASE_PORT=5432
DATABASE_NAME=postgres
Variables below depend on your cloud provider. See last update.
DATABASE_SSL=false
PGSSLMODE=disable
I struggled with connecting FlowiseAI with Postgresql and Supbase for two days.
I succeeded with Postgresql yesterday on my own after hours of trial and errors.
And today GPT4o just lanuched. I asked her for help with Supabase.
And I got it working in 1 min. This is insane!!!!
For non-technical people like me, this is a wonderful era!!!!!
Some cloud providers might not support internal SSL connection between FlowiseAI and PostgreSQL.
For example, Hetzner. I cannot follow the official documentation and set:
Instead, I have to set:
Your cloud providers may be different, but this update may save you some time from trial and error which is quite painful.
The SFTP backup approach is not perfect, because it is not designed with version control.
I figured out a much better solution for deployment, update, backup and restore process.
Add these variables:
DATABASE_TYPE=postgres
DATABASE_PORT=5432
DATABASE_HOST=
DATABASE_NAME=
DATABASE_USER=
DATABASE_PASSWORD=
Note: You do not need DATABASE_PATH any more.
You can now back up your PostgreSQL database to your S3 storage.
I really hope FlowiseAI will available on Cloudron, as Cloudron is by far the best PaaS I have tried.
And there are other AI-related apps that could add to Cloudron. For example, vector store for building RAG apps.
Here is a list of them with detailed comparison:
PGvector is supported by Supabase which is another great open-source app.
For those of you who wish to deploy FlowiseAI, here are 3 cost-effective approaches I have tested:
Just follow this tutorial: link text
Huggingface is much cheaper than render, railway and replit.
It is free to deploy the app on Huggingface. You get 2 vCPU and 16GB for free!!
But you need to pay for the persistant storage ($5 per month for 20GB).
Note: This approach does not have backup and restore feature.
Flowise is available on Easypanel as a one-click app.
The free version of Easypanel does not have backup and restore feature.
But I figured a workarrount (see the end).
Flowise is not available as a one-click app on Coolify, but you can install it with Dockerfile.
It is very similar to deploying on Huggingface: link text
Step1: Copy the Dockerfile (from the link above) to Coolify.
Step2: Add Environment Variables. I compiled a list of environment variables, so you can just copy and edit it based on your use cases.
FLOWISE_USERNAME=
FLOWISE_PASSWORD=
CORS_ORIGINS=
IFRAME_ORIGINS=
LANGCHAIN_TRACING_V2=true
LANGCHAIN_ENDPOINT=
LANGCHAIN_API_KEY=
LANGCHAIN_PROJECT=
TOOL_FUNCTION_BUILTIN_DEP=*
TOOL_FUNCTION_EXTERNAL_DEP=axios,moment
STORAGE_TYPE=s3
S3_STORAGE_BUCKET_NAME=
S3_STORAGE_ACCESS_KEY_ID=
S3_STORAGE_SECRET_ACCESS_KEY=
S3_STORAGE_REGION=
OVERRIDE_DATABASE=false
NUMBER_OF_PROXIES=1
FLOWISE_SECRETKEY_OVERWRITE=
DATABASE_PATH=/app/storage
APIKEY_PATH=/app/storage
LOG_PATH=/app/storage
SECRETKEY_PATH=/app/storage
BLOB_STORAGE_PATH=/app/storage
Step3: Set the Persistent Storage (destination path) as /app/storage
Step4: Enable health checks
FlowiseAI uses SQlite as its database by default, but Coolify currently does not have backup method for SQLite.
Step1: Install a SFTP tool (cyberduck or filezilla) on your PC.
Step2: Use SFTP to log into your server.
Step3: Create a folder under the root folder, and name it as flowise.
Step4: Go to your Coolify or Easypanel dashboard, and create a bind mount (do not use volume mount).
Step5: Create a folder (named flowise) on your local PC.
Step6: Use cyberduck or filezilla to sync the bind mount database (.sqlite file) to your local folder.
Step7: If you want to backup to S3 compatible storage, use Cyberduck to connect to your bucket.
this is the docker file: https://docs.flowiseai.com/configuration/deployment/hugging-face
When can we have Flowise? This tool is great!
I built a chatbot with N8N. I want to embed it on my own website and prevent other websites embedding it.
I set up CORS both inside N8N and on Cloudron, but I can still embed on W3school.
Did I make any mistake?
Hi, just wondering if we should run apt update and upgrade mannually?
I ran these commands right before installing Cloudron.
Should I run these commands to update and upgrade mannually in the future?
Or Cloudron will do these automatically?
I searched the documentation, but this information is not mentioned.
how is bunny video privacy like?
I am learning the privacy settings of these video hosting platforms, since the videos are paid courses.
with vimeo, there is a setting called "Hide from Vimeo" that allows you to embed videos on your own site. Your users cannot share your video link because the vimeo source link will not play it (it is hidden).
but with peertube, it does not have this feature. the only way to protect your video is to set the privacy to "password protected". your users must fill in the password in order to watch it. but they can also easily leak the link and the password. you have to change the password frequently. more dangerously, users can right click on the embedded video and download it....this is ridiculous for paid courses.