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makefile
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makefile
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SHELL := /bin/bash
venvDir := .venv
dataDir := .data
embeddingModelName := nomic-embed-text
llmModelName := contextualized_assistant
modelFileName := contextualized_assistant.model
cmdVenvActivate := source $(venvDir)/bin/activate
cmdAppRun := python3 -m streamlit run src/main.py
# Set the default target for the makefile.
default: run
# Clean the data folder.
clean:
@if [ -d $(dataDir) ]; then rm -Rf $(dataDir); fi
# Perform first time setup.
setup: setup/model setup/env
# Configure the model used by the application.
setup/model:
-ollama rm $(embeddingModelName)
ollama pull $(embeddingModelName)
-ollama rm $(llmModelName)
ollama create $(llmModelName) -f $(modelFileName)
# Configure the virtual environment and dependencies.
setup/env:
@( \
if [ -d $(venvDir) ]; then rm -Rf $(venvDir); fi; \
mkdir $(venvDir); \
python3 -m venv $(venvDir); \
$(cmdVenvActivate); \
python3 -m pip install -e . 'llm-workbench[test]' --upgrade; \
)
# Configure the fake server for API mocking.
setup/server:
npm install
# Update dependencies.
setup/update:
@( \
$(cmdVenvActivate); \
python3 -m pip install --upgrade pip; \
python3 -m pip install -e . --upgrade; \
)
# Start the application.
run:
@( \
$(cmdVenvActivate); \
$(cmdAppRun); \
)
# Start the fake server for API mocking.
run/server:
npx json-server db.json
# Run tests.
test:
@( \
$(cmdVenvActivate); \
python3 -m pytest ./tests; \
)