https://github.com/legionjp/caption_generator
Caption Generator for Videos by uploading videos and Processing in background using python celery , redis for queue, openai whisper model for speech recongnition
https://github.com/legionjp/caption_generator
celery-redis django docker docker-container ffmpeg openai-whisper postgresql pyhton3
Last synced: 5 months ago
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Caption Generator for Videos by uploading videos and Processing in background using python celery , redis for queue, openai whisper model for speech recongnition
- Host: GitHub
- URL: https://github.com/legionjp/caption_generator
- Owner: legionJP
- Created: 2024-09-08T21:36:03.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-05T10:13:28.000Z (8 months ago)
- Last Synced: 2025-03-31T06:16:38.456Z (7 months ago)
- Topics: celery-redis, django, docker, docker-container, ffmpeg, openai-whisper, postgresql, pyhton3
- Language: Python
- Homepage:
- Size: 2.06 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.Docker.md
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README
### Building and running your application
When you're ready, start your application by running:
`docker compose up --build`.
Your application will be available at http://localhost:8000.
### Deploying your application to the cloud
First, build your image, e.g.: `docker build -t myapp .`.
If your cloud uses a different CPU architecture than your development
machine (e.g., you are on a Mac M1 and your cloud provider is amd64),
you'll want to build the image for that platform, e.g.:
`docker build --platform=linux/amd64 -t myapp .`.
Then, push it to your registry, e.g. `docker push myregistry.com/myapp`.
Consult Docker's [getting started](https://docs.docker.com/go/get-started-sharing/)
docs for more detail on building and pushing.
### References
* [Docker's Python guide](https://docs.docker.com/language/python/)