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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 $(HUGGINGFACE_USERNAME)) ]; then\ | |
| echo "###";\ | |
| echo "# 🥞: Add a HUGGINGFACE_USERNAME to the .env file to run remotely";\ | |
| echo "###";\ | |
| else\ | |
| echo "$(PROMPT)";\ | |
| echo "###";\ | |
| echo "# 🥞: 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 | |