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ifneq (,$(wildcard ./.env)) | |
include .env | |
# assume includes OPENAI_API_KEY for LLM inference | |
export | |
endif | |
.PHONY: help | |
.DEFAULT_GOAL := help | |
help: ## get a list of all the targets, and their short descriptions | |
@# source for the incantation: https://marmelab.com/blog/2016/02/29/auto-documented-makefile.html | |
@grep -E '^[a-zA-Z_-]+:.*?## .*$$' Makefile | awk 'BEGIN {FS = ":.*?##"}; {printf "\033[36m%-12s\033[0m %s\n", $$1, $$2}' | |
API_URL=https://$(HUGGINGFACE_USERNAME)-ask-fsdl.hf.space/run | |
PROMPT=What is PyTorch? | |
remote_request: ## send a request to the instance on Hugging Face | |
@if [ -z $$(echo $(HUGGINGFACE_USERNAME)) ]; then\ | |
echo "###";\ | |
echo "# π₯: Add a HUGGINGFACE_USERNAME to the .env file to run remotely";\ | |
echo "###";\ | |
else\ | |
echo "$(PROMPT)";\ | |
echo "###";\ | |
echo "# π₯: Running inference at $(API_URL)";\ | |
echo "###";\ | |
(echo '{ "data": ["'$(PROMPT)'"]}') \ | |
| curl -s -X POST $(API_URL)/predict -H 'Content-Type: application/json' -d @-;\ | |
fi | |
serve: ## serve this locally | |
gradio app.py | |
environment: ## installs requirements | |
pip install -q -r requirements.txt | |