Having some issues with GCP - I am able to get Jeremy’s bear classifier set up in production and everything worked just fine. I made some small tweaks to get my classifier working ( which works well on my local machine running starlette) I deploy the app on GCP and have no issues but when I actually call the URL i get the following error
Error: Server Error
The server encountered a temporary error and could not complete your request.
Please try again in 30 seconds.
Any idea what I may be doing wrong here? I think I got to the log files when the call is being made and here is what I see
I’m not sure what the GCP side looks like, but that almost looks like you need to somehow give your folder permissions to run or something. Like a firewall or user permissions issue.
Was exploring deploying AWS lambda function with serverless using Docker, and virtualenv. Wrote a blog post about it; might come in handy for few.You can find it on Medium
I started following the instructions for deploying with Render (https://course.fast.ai/deployment_render.html ), but I thought it might be a good idea to clarify in the instructions that even though you “don’t need a credit card to get started,” this isn’t a free service - you need to sign up for a $5/month plan in order to run anything, and apparently you will be billed for the services you use. It’s not really clear how the billing works either - they say they “prorate service by the second” but they also say it’s $5/month.
I have tried using this template and built a classifier but whenever I test locally I get this TimeoutError
SSL error in data received
protocol: <asyncio.sslproto.SSLProtocol object at 0x0000005AC1934D68>
transport: <_SelectorSocketTransport fd=2808 read=polling write=<idle, bufsize=0>>
Traceback (most recent call last):
File "C:\Users\Manimaran\Miniconda3\envs\pokemonapp\lib\asyncio\sslproto.py", line 526, in data_received
ssldata, appdata = self._sslpipe.feed_ssldata(data)
File "C:\Users\Manimaran\Miniconda3\envs\pokemonapp\lib\asyncio\sslproto.py", line 207, in feed_ssldata
self._sslobj.unwrap()
File "C:\Users\Manimaran\Miniconda3\envs\pokemonapp\lib\ssl.py", line 767, in unwrap
return self._sslobj.shutdown()
ssl.SSLError: [SSL: KRB5_S_INIT] application data after close notify (_ssl.c:2609)
Traceback (most recent call last):
File "server.py", line 71, in <module>
learn = loop.run_until_complete(asyncio.gather(*tasks))[0]
File "C:\Users\Manimaran\Miniconda3\envs\pokemonapp\lib\asyncio\base_events.py", line 584, in run_until_complete
return future.result()
File "server.py", line 45, in setup_learner
await download_file(export_file_url, path / export_file_name)
File "server.py", line 38, in download_file
model_pkl = await response.read()
File "C:\Users\Manimaran\Miniconda3\envs\pokemonapp\lib\site-packages\aiohttp\client_reqrep.py", line 969, in read
self._body = await self.content.read()
File "C:\Users\Manimaran\Miniconda3\envs\pokemonapp\lib\site-packages\aiohttp\streams.py", line 359, in read
block = await self.readany()
File "C:\Users\Manimaran\Miniconda3\envs\pokemonapp\lib\site-packages\aiohttp\streams.py", line 381, in readany
await self._wait('readany')
File "C:\Users\Manimaran\Miniconda3\envs\pokemonapp\lib\site-packages\aiohttp\streams.py", line 297, in _wait
await waiter
File "C:\Users\Manimaran\Miniconda3\envs\pokemonapp\lib\site-packages\aiohttp\helpers.py", line 585, in __exit__
raise asyncio.TimeoutError from None
concurrent.futures._base.TimeoutError
From what I know this is related to the event of downloading the model from the gdrive link.
I have rebuilt the classifier by reducing the complexity using resnet18 instead of resnet50 but to no use.
Do you know if there is an easy way to update a model in a production environment, instead of “hard-coding” the path to your model in the web server configuration (flask, or whatever that might be?) Thanks!
