The repository is quite simple, there is a file server.py that runs in a Python virtual environment, and requirements.txt is available. Everything works locally. The server opens a websocket, receives audio streams, and performs speech recognition operations, then returns the recognized text to the client via websocket. We have already found a suitable container on vast, we need to finalize the deployment and expose the port to the outside world.
Budget: 5000 UAH Deadline: 2 days
Hello, I am constantly working on the server vast.ai, renting graphics cards for training neural networks.
Feel free to contact me.
Budget: 15000 UAH Deadline: 3 days
Hello,
I have experience in deploying Python services using Docker and cloud platforms in particular and VAST. I understand the principles of setting up websocket connections and port forwarding for external access.
I am ready to quickly and efficiently deploy the repository and ensure the availability of the service for clients in the external network.
Please write your budget, - we will discuss.
Budget: 2500 UAH Deadline: 1 day
Hello, I can help you with your task today and in the future if you need assistance with edits or to maintain your project.
