Merge pull request #13 from jmorganca/update-development-md

update development.md

README.md

@@ -20,6 +20,15 @@ Run ai models locally.
 pip install ollama
 ```
 
+## Install From Source
+
+```
+git clone git@github.com:jmorganca/ollama ollama
+cd ollama
+pip install -r requirements.txt
+pip install -e .
+```
+
 ## Quickstart
 
 ```

docs/development.md

 # Development
 
-ollama is built and run using [Poetry](https://python-poetry.org/).
-
-## Running
-
-**Start backend service:**
-
-Install dependencies:
+ollama is built using Python 3 and uses [Poetry](https://python-poetry.org/) to manage dependencies and build packages.
 
 ```
-poetry install --extras server
+pip install poetry
 ```
 
-Run a server:
+Install ollama and its dependencies:
 
 ```
-poetry run ollama serve
+poetry install --extras server --with dev
 ```
 
-## Building
+Run ollama server:
 
-If using Apple silicon, you need a Python version that supports arm64:
-
-```bash
-wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh
-bash Miniforge3-MacOSX-arm64.sh
 ```
-
-Get the dependencies:
-
-```bash
-poetry install --extras server
+poetry run ollama server
 ```
 
-Then build a binary for your current platform:
+Update dependencies:
 
-```bash
-poetry build
+```
+poetry update --extras server --with dev
+poetry lock
+poetry export >requirements.txt
 ```
 
-## Update requirements.txt
-
-In the root directory, run:
+Build binary package:
 
 ```
-pipreqs . --force
+poetry build
 ```

pyproject.toml

@@ -2,7 +2,7 @@
 name = "ollama"
 version = "0.0.2"
 description = "Run ai models locally"
-authors = ["Ollama team"]
+authors = ["ollama team"]
 readme = "README.md"
 packages = [{include = "ollama"}]
 scripts = {ollama = "ollama.cmd.cli:main"}