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I already have a Linux machine ready; what I need is a clean, reproducible deployment of both [login to view URL] and [login to view URL] on that box, wired up so I can hit them with a simple curl command and get back translated text. Your job is to: • set up the environment (you can advise the best-fit Python 3.x version), • install all dependencies and download the required models for the two libraries, • expose a lightweight REST endpoint (Flask, FastAPI, or similar) that accepts source text, source language and target language, returns the translated string in JSON, and works via curl out of the box, • give me start/stop scripts or a single Dockerfile/compose file so I can recreate the service quickly, • hand over a short README detailing the install steps and an example curl call. The server is Linux, so please assume systemd or docker-compose for service management—whichever you feel is cleaner. I’m open on which language pairs to preload; feel free to add a couple as demonstration while keeping the setup flexible enough for me to plug in others later. I’ll consider the task done when: • the service starts with one command, • curl -X POST 'http://localhost:port/translate' -d '{"src":"hello","src_lang":"en","tgt_lang":"hi"}' returns a valid Hindi translation, • both IndicTrans2 and dl-translate models load without errors and can be swapped through the same endpoint. If this sounds straightforward to you, let’s get it running.
Project ID: 40187440
2 proposals
Remote project
Active 5 mos ago
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