search

coleam00 / bolt.new-any-llm

Prompt, run, edit, and deploy full-stack web applications using any LLM you want!
https://bolt.new
MIT License
2.64k stars 1.2k forks source link

(Using qwen2.5-coder-extra-large:7b (Ollama)) After Docker Build: Frontend Stuck on Loading #231

Open darshanbuildx opened 4 days ago

darshanbuildx commented 4 days ago

Describe the bug

After cloning the repository and using the Canary browser, I rebuilt the Docker container and encountered the following issues:

The terminal/CMD shows repeated warnings and errors related to dependencies and optimization. The frontend on localhost:5173 is stuck on loading and does not generate any output, even after waiting for more than 10 minutes.

Link to the Bolt URL that caused the error

http://localhost:5173

Steps to reproduce

  1. Clone the repository.
  2. Build and run the Docker container using the provided Docker commands.
  3. Open the application in the Canary browser (localhost:5173).
  4. Observe the terminal/CMD output and frontend behavior.

Expected behavior

The app should load properly, generate responses, and function as intended without prolonged loading or errors.

Screen Recording / Screenshot

Capture error

Platform

OS:Windows 10 Browser: Canary Version: 132.0.6828.0

Additional context

This issue occurs despite several attempts, including rebuilding the Docker container and using different commands, the problem persists.

omarnahdi commented 3 days ago

@darshanbuildx Did you found the solution?

darshanbuildx commented 2 days ago

@omarnahdi nope no luck.

omarnahdi commented 2 days ago

@darshanbuildx what are your specs?

darshanbuildx commented 2 days ago

@omarnahdi Windows 10, Docker, Chrome Canary what else specs would you need to help?

Intiiii commented 2 days ago

is it possible that your pc just isn't fast enough? Btw with specs we mean your memory, processor etc.

darshanbuildx commented 2 days ago

thank you for responding @omarnahdi and @Intiiii here are specs:

I have 32gb RAM and 1TB SSD 16GB Intel R (UHD) Graphics 620 Graphics CPU Intel(R) Core(TM) i5-8350U CPU @ 1.70GHz

Base speed: 1.90 GHz
Sockets:    1
Cores:  4
Logical processors: 8
Virtualization: Enabled
L1 cache:   256 KB
L2 cache:   1.0 MB
L3 cache:   6.0 MB

Utilization 100%
Speed   1.93 GHz
Up time 2:22:10:48
Processes   413
Threads 6063
Handles 203480
CPU specs
omarnahdi commented 1 day ago

@darshanbuildx You have pretty much the same setup as me, I think you should try some smaller model, does that qwen model run smoothly in the cmd terminal? if not then you should really shift to a smaller model mine runs as well but it is some sort of slow with bolt but it is lightning fast in the cmd and with open-webui as well. Don't know why it is slow with blot though, but I'll suggest try https://console.mistral.ai/api-keys/ as they are and has low restriction in free tier as well https://console.mistral.ai/usage/ or just use any model from github models as they all are OpenAI API compatible