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echo "MODEL_NAME: $MODEL_NAME" | |
echo "QUANTIZE: $QUANTIZATION" | |
echo "GRADIO_PORT: $GRADIO_PORT" | |
MODEL_NAME=$(echo $MODEL_NAME | sed 's/^[[:space:]]*//g;s/[[:space:]]*$//g') | |
QUANTIZATION=$(echo $QUANTIZATION | sed 's/^[[:space:]]*//g;s/[[:space:]]*$//g') | |
GRADIO_PORT=$(echo $GRADIO_PORT | sed 's/^[[:space:]]*//g;s/[[:space:]]*$//g') | |
if [[ "$QUANTIZATION" == "$QUANTIZATION" ]]; then | |
echo "WTF1-1!" | |
else | |
echo "WTF1-2!!" | |
fi | |
if [[ "$QUANTIZATION" == "false" ]]; then | |
echo "WTF2-1!" | |
else | |
echo "WTF2-2!!" | |
fi | |
if [[ "$QUANTIZATION" == false ]]; then | |
echo "WTF3-1!" | |
text-generation-launcher --model-id $MODEL_NAME --num-shard 1 --port 8080 --trust-remote-code & | |
else | |
echo "WTF3-2!" | |
text-generation-launcher --model-id $MODEL_NAME --num-shard 1 --port 8080 --trust-remote-code --quantize $QUANTIZATION & | |
fi | |
# Wait for text-generation-inference to start | |
curl --retry 60 --retry-delay 10 --retry-connrefused http://127.0.0.1:8080/health | |
# Start the gradio | |
python app/main.py --port $GRADIO_PORT & | |
# Wait for any process to exit | |
wait -n | |
# Exit with status of process that exited first | |
exit $? |