deploying API with docker on AWS

Hello,

I am currently attempting to run this dockerfile on an EC2 instance on amazon AWS. The instance being used has a lot of CPU and RAM.

FROM neuml/txtai-cpu

# Copy configuration
COPY config.yml .

RUN python -c "from txtai.api import API; API('config.yml', False)"

# Start server and listen on all interfaces
ENV CONFIG "config.yml"
ENTRYPOINT ["uvicorn", "--host", "0.0.0.0", "--port", "80", "txtai.api:app"]

EXPOSE 80

I have to use EXPOSE 80 because I using amazon EBS.

When reading the logs, I can see the app is running:

INFO:     Application startup complete.

2022-05-26 06:36:46,997 [INFO] startup: Application startup complete.

INFO:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)

2022-05-26 06:36:47,001 [INFO] _log_started_message: Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)

When I try to access the service at localhost:80/docs or localhost:8000/docs I receive this error:

No supported WebSocket library detected. Please use 'pip install uvicorn[standard]', or install 'websockets' or 'wsproto' manually.

I don’t know how to view the original txtai-cpu image, otherwise, I’d try to modify that logic. Am I making a mistake or is this something related to the dockerfile?

[luquitared]

Ope. No, your suggestion worked. Ran it with RUN python -m pip install --no-cache-dir uvicorn[standard] & worked!

[davidmezzetti]

Sounds good, glad you were able to get it to work!