added tensorflow support to docker-compose
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@ -44,4 +44,7 @@ COPY app /curie-web/app
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COPY run.py /curie-web
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COPY api.py /curie-web
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COPY lstm_chem /curie-web/lstm_chem
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CMD gunicorn -w 4 api:app -k uvicorn.workers.UvicornWorker -b "0.0.0.0:8080"
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@ -10,7 +10,7 @@ Tested on:
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# Quick Start (Docker-Compose)
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You can quickly get started and test Curie-Web without needing to manage dependencies by using the `docker-compose` image. This has all features except AR/3D Model support and LSTM Generator. Otherwise, it is production ready.
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You can quickly get started and test Curie-Web without needing to manage dependencies by using the `docker-compose` image. This has all features except AR/3D Model support. Otherwise, it is production ready.
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```
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@ -189,4 +189,4 @@ python3 removeSample.py
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Currently the base model has been trained on 1.5 million compounds and took ~4 hours to train on Google Colab's GPU runtime.
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*Information to be added soon*
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*Information to be added soon*
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@ -22,4 +22,4 @@ LOG_FOLDER = ./app/logs/
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INSTANT = True
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[FEATURES]
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LSTM = False
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LSTM = True
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