Local host not running properly

AI & Data Science NVIDIA AI Workbench
1

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hey, I am facing this issue:
^C$ flask run --host=0.0.0.0 --port=8080

  • Serving Flask app ‘app.py’
  • Debug mode: off
    WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
  • Running on all addresses (0.0.0.0)
  • Running on http://127.0.0.1:8080
  • Running on http://172.18.0.3:8080
    Press CTRL+C to quit

so when i run the ip address its simply not opening on my local machine.

I checked through curl to verify whther its some other issue, but curl returned with the right output. idk what’s the issue anymore.

2

hi

we need more context to answer this.

are you using ai workbench?

what are you trying to do?

tyler

3

Sure, so like I have my code and everything sorted, there’s no problem from that side.

First of all, yes, I am using AI workbench and running my code on jupyter lab connected to it.

when I run flask run app.py, it runs successfully and provides me with host:

127.xxx.xxx… & 172.xxx.xxx to run my application.

But when I run these addresses on my laptop I don’t receive any response.

At first, I thought maybe there’s some other issue, so I tried getting the response back using curl in the terminal itself, and got the correct response.

I just want to know why am I unable to run it locally. It works in the terminal itself but as soon as I run it on my laptop’s browser(edge, chrome, etc), there’s no response.

I am creating an AI business report and analysis sheet generator so the project’s regarding tht.

4

Hi, thanks for reaching out. Have you looked at this “Add a custom application” walkthrough in the documentation? It gives a step-by-step example of adding a simple gradio app to AI Workbench, and it seems a flask app should follow similarly.

Remember, AI Workbench uses a reverse proxy to surface applications from project container to host so simply typing in a localhost and port on your host’s browser may not open the application (running in the project container) properly.