Merge pull request #753 from jmorganca/mattw/examplereorg
rename the examples to be more descriptive
This commit is contained in:
Matt Williams
GitHub
commit
9b513bb6b1
51 changed files with 1347 additions and 23 deletions
171
examples/.gitignore
vendored
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171
examples/.gitignore
vendored
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@ -0,0 +1,171 @@
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node_modules
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# OSX
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.DS_STORE
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# Models
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models/
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|
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# Local Chroma db
|
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.chroma/
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||||
db/
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||||
|
||||
# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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|
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# C extensions
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*.so
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|
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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|
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# Unit test / coverage reports
|
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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|
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# Translations
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*.mo
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*.pot
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|
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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|
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# Flask stuff:
|
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instance/
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.webassets-cache
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||||
|
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# Scrapy stuff:
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.scrapy
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|
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# Sphinx documentation
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docs/_build/
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|
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# PyBuilder
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.pybuilder/
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target/
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|
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# Jupyter Notebook
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.ipynb_checkpoints
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|
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# IPython
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profile_default/
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ipython_config.py
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|
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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|
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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|
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
|
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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|
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
|
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|
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# Celery stuff
|
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celerybeat-schedule
|
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celerybeat.pid
|
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|
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# SageMath parsed files
|
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*.sage.py
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|
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# Environments
|
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.env
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.venv
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env/
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venv/
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ENV/
|
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env.bak/
|
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venv.bak/
|
||||
|
||||
# Spyder project settings
|
||||
.spyderproject
|
||||
.spyproject
|
||||
|
||||
# Rope project settings
|
||||
.ropeproject
|
||||
|
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# mkdocs documentation
|
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/site
|
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|
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
|
||||
|
||||
# Pyre type checker
|
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.pyre/
|
||||
|
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# pytype static type analyzer
|
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.pytype/
|
||||
|
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# Cython debug symbols
|
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cython_debug/
|
||||
|
||||
# PyCharm
|
||||
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
|
||||
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
|
||||
# and can be added to the global gitignore or merged into this file. For a more nuclear
|
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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@ -1,15 +1,3 @@
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# Examples
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This directory contains different examples of using Ollama
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To create a model:
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|
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```
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ollama create example -f <example file>
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```
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To run a model:
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```
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ollama run example
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```
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This directory contains different examples of using Ollama.
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0
examples/golang-simplegenerate/README.md
Normal file
0
examples/golang-simplegenerate/README.md
Normal file
27
examples/golang-simplegenerate/main.go
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27
examples/golang-simplegenerate/main.go
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@ -0,0 +1,27 @@
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package main
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import (
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"bytes"
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"fmt"
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"net/http"
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"os"
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"io"
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"log"
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)
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func main() {
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body := []byte(`{"model":"mistral"}`)
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resp, err := http.Post("http://localhost:11434/api/generate", "application/json", bytes.NewBuffer(body))
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if err != nil {
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fmt.Print(err.Error())
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os.Exit(1)
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}
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responseData, err := io.ReadAll(resp.Body)
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if err != nil {
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log.Fatal(err)
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}
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fmt.Println(string(responseData))
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}
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21
examples/langchain-typescript-simple/README.md
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21
examples/langchain-typescript-simple/README.md
Normal file
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@ -0,0 +1,21 @@
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# LangChain
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This example is a basic "hello world" of using LangChain with Ollama using Node.js and Typescript.
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## Setup
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```shell
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npm install
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||||
```
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|
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## Run
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```shell
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ts-node main.ts
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```
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Running this example will print the response for "hello":
|
||||
|
||||
```plaintext
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||||
Hello! It's nice to meet you. hopefully you are having a great day! Is there something I can help you with or would you like to chat?
|
||||
```
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15
examples/langchain-typescript-simple/main.ts
Normal file
15
examples/langchain-typescript-simple/main.ts
Normal file
|
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@ -0,0 +1,15 @@
|
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import { Ollama} from 'langchain/llms/ollama';
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async function main() {
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const ollama = new Ollama({
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model: 'mistral'
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// other parameters can be found at https://js.langchain.com/docs/api/llms_ollama/classes/Ollama
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})
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const stream = await ollama.stream("Hello");
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for await (const chunk of stream) {
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process.stdout.write(chunk);
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}
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}
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main();
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997
examples/langchain-typescript-simple/package-lock.json
generated
Normal file
997
examples/langchain-typescript-simple/package-lock.json
generated
Normal file
|
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@ -0,0 +1,997 @@
|
|||
{
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||||
"name": "with-langchain-typescript-simplegenerate",
|
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"lockfileVersion": 3,
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"requires": true,
|
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"packages": {
|
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"": {
|
||||
"dependencies": {
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"langchain": "^0.0.165"
|
||||
},
|
||||
"devDependencies": {
|
||||
"typescript": "^5.2.2"
|
||||
}
|
||||
},
|
||||
"node_modules/@anthropic-ai/sdk": {
|
||||
"version": "0.6.2",
|
||||
"resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.6.2.tgz",
|
||||
"integrity": "sha512-fB9PUj9RFT+XjkL+E9Ol864ZIJi+1P8WnbHspN3N3/GK2uSzjd0cbVIKTGgf4v3N8MwaQu+UWnU7C4BG/fap/g==",
|
||||
"dependencies": {
|
||||
"@types/node": "^18.11.18",
|
||||
"@types/node-fetch": "^2.6.4",
|
||||
"abort-controller": "^3.0.0",
|
||||
"agentkeepalive": "^4.2.1",
|
||||
"digest-fetch": "^1.3.0",
|
||||
"form-data-encoder": "1.7.2",
|
||||
"formdata-node": "^4.3.2",
|
||||
"node-fetch": "^2.6.7"
|
||||
}
|
||||
},
|
||||
"node_modules/@types/node": {
|
||||
"version": "18.18.4",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-18.18.4.tgz",
|
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"integrity": "sha512-t3rNFBgJRugIhackit2mVcLfF6IRc0JE4oeizPQL8Zrm8n2WY/0wOdpOPhdtG0V9Q2TlW/axbF1MJ6z+Yj/kKQ=="
|
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},
|
||||
"node_modules/@types/node-fetch": {
|
||||
"version": "2.6.6",
|
||||
"resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.6.tgz",
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|
||||
"dependencies": {
|
||||
"@types/node": "*",
|
||||
"form-data": "^4.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/@types/retry": {
|
||||
"version": "0.12.0",
|
||||
"resolved": "https://registry.npmjs.org/@types/retry/-/retry-0.12.0.tgz",
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},
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|
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"dependencies": {
|
||||
"event-target-shim": "^5.0.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=6.5"
|
||||
}
|
||||
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|
||||
"node_modules/agentkeepalive": {
|
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|
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|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 8.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/ansi-styles": {
|
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"engines": {
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"funding": [
|
||||
{
|
||||
"type": "github",
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"url": "https://github.com/sponsors/feross"
|
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},
|
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{
|
||||
"type": "patreon",
|
||||
"url": "https://www.patreon.com/feross"
|
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},
|
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{
|
||||
"type": "consulting",
|
||||
"url": "https://feross.org/support"
|
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}
|
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]
|
||||
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|
||||
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"engines": {
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|
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|
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}
|
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},
|
||||
"node_modules/charenc": {
|
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"engines": {
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||||
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|
||||
}
|
||||
},
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||||
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|
||||
"version": "1.0.8",
|
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"dependencies": {
|
||||
"delayed-stream": "~1.0.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.8"
|
||||
}
|
||||
},
|
||||
"node_modules/commander": {
|
||||
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|
||||
"engines": {
|
||||
"node": ">=14"
|
||||
}
|
||||
},
|
||||
"node_modules/crypt": {
|
||||
"version": "0.0.2",
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||||
"engines": {
|
||||
"node": ">= 14"
|
||||
}
|
||||
},
|
||||
"node_modules/webidl-conversions": {
|
||||
"version": "3.0.1",
|
||||
"resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
|
||||
"integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="
|
||||
},
|
||||
"node_modules/whatwg-url": {
|
||||
"version": "5.0.0",
|
||||
"resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
|
||||
"integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
|
||||
"dependencies": {
|
||||
"tr46": "~0.0.3",
|
||||
"webidl-conversions": "^3.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/yaml": {
|
||||
"version": "2.3.2",
|
||||
"resolved": "https://registry.npmjs.org/yaml/-/yaml-2.3.2.tgz",
|
||||
"integrity": "sha512-N/lyzTPaJasoDmfV7YTrYCI0G/3ivm/9wdG0aHuheKowWQwGTsK0Eoiw6utmzAnI6pkJa0DUVygvp3spqqEKXg==",
|
||||
"engines": {
|
||||
"node": ">= 14"
|
||||
}
|
||||
},
|
||||
"node_modules/zod": {
|
||||
"version": "3.22.4",
|
||||
"resolved": "https://registry.npmjs.org/zod/-/zod-3.22.4.tgz",
|
||||
"integrity": "sha512-iC+8Io04lddc+mVqQ9AZ7OQ2MrUKGN+oIQyq1vemgt46jwCwLfhq7/pwnBnNXXXZb8VTVLKwp9EDkx+ryxIWmg==",
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/colinhacks"
|
||||
}
|
||||
},
|
||||
"node_modules/zod-to-json-schema": {
|
||||
"version": "3.21.4",
|
||||
"resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.21.4.tgz",
|
||||
"integrity": "sha512-fjUZh4nQ1s6HMccgIeE0VP4QG/YRGPmyjO9sAh890aQKPEk3nqbfUXhMFaC+Dr5KvYBm8BCyvfpZf2jY9aGSsw==",
|
||||
"peerDependencies": {
|
||||
"zod": "^3.21.4"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
8
examples/langchain-typescript-simple/package.json
Normal file
8
examples/langchain-typescript-simple/package.json
Normal file
|
|
@ -0,0 +1,8 @@
|
|||
{
|
||||
"devDependencies": {
|
||||
"typescript": "^5.2.2"
|
||||
},
|
||||
"dependencies": {
|
||||
"langchain": "^0.0.165"
|
||||
}
|
||||
}
|
||||
|
|
@ -1,8 +0,0 @@
|
|||
# Modelfile for creating a Midjourney prompts from a topic
|
||||
# This prompt was adapted from the original at https://www.greataiprompts.com/guide/midjourney/best-chatgpt-prompt-for-midjourney/
|
||||
# Run `ollama create mj -f ./Modelfile` and then `ollama run mj` and enter a topic
|
||||
|
||||
FROM nous-hermes
|
||||
SYSTEM """
|
||||
Embrace your role as an AI-powered creative assistant, employing Midjourney to manifest compelling AI-generated art. I will outline a specific image concept, and in response, you must produce an exhaustive, multifaceted prompt for Midjourney, ensuring every detail of the original concept is represented in your instructions. Midjourney doesn't do well with text, so after the prompt, give me instructions that I can use to create the titles in a image editor.
|
||||
"""
|
||||
23
examples/modelfile-10tweets/README.md
Normal file
23
examples/modelfile-10tweets/README.md
Normal file
|
|
@ -0,0 +1,23 @@
|
|||
# Ten Tweets Modelfile
|
||||
|
||||
This is a simple modelfile that generates ten tweets based off any topic.
|
||||
|
||||
```bash
|
||||
ollama create tentweets
|
||||
|
||||
ollama run tentweets
|
||||
>>> underwater basketweaving
|
||||
Great! Here are ten creative tweets about underwater basketweaving:
|
||||
|
||||
1. "Just discovered the ultimate stress-reliever: Underwater basketweaving! 🌊🧵 #UnderwaterBasketweaving #StressRelief"
|
||||
2. "Who needs meditation when you can do underwater basketweaving? 😴👀 #PeacefulDistraction #UnderwaterBasketweaving"
|
||||
3. "Just spent an hour in the pool and still managed to knot my basket. Goal: untangle it before next session. 💪🏽 #ChallengeAccepted #UnderwaterBasketweaving"
|
||||
4. "When life gives you lemons, make underwater basketweaving! 🍋🧵 #LemonadeLife #UnderwaterBasketweaving"
|
||||
5. "Just realized my underwater basketweaving skills could come in handy during a zombie apocalypse. 😂🧡 #SurvivalTips #UnderwaterBasketweaving"
|
||||
6. "I'm not lazy, I'm just conserving energy for my next underwater basketweaving session. 😴💤 #LazyDay #UnderwaterBasketweaving"
|
||||
7. "Just found my inner peace while doing underwater basketweaving. It's like meditation, but with knots! 🙏🧵 #Mindfulness #UnderwaterBasketweaving"
|
||||
8. "Why study for exams when you can do underwater basketweaving and forget all your worries? 😜🧵 #ProcrastinationStation #UnderwaterBasketweaving"
|
||||
9. "Just had to cut my underwater basketweaving session short due to a sudden urge to breathe. 🤯🌊 #AquaticAdventures #UnderwaterBasketweaving"
|
||||
10. "I'm not sure what's more impressive: my underwater basketweaving skills or the fact that I didn't drown trying to make this tweet. 😅🧵 #Accomplishment
|
||||
#UnderwaterBasketweaving"
|
||||
```
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
# Modelfile for creating a devops engineer assistant
|
||||
# Run `ollama create devops-engineer -f ./Modelfile` and then `ollama run devops-engineer` and enter a topic
|
||||
|
||||
FROM llama2:13b
|
||||
FROM mistral
|
||||
PARAMETER temperature 1
|
||||
SYSTEM """
|
||||
You are a senior devops engineer, acting as an assistant. You offer help with cloud technologies like: Terraform, AWS, kubernetes, python. You answer with code examples when possible
|
||||
40
examples/modelfile-devopsengineer/README.md
Normal file
40
examples/modelfile-devopsengineer/README.md
Normal file
|
|
@ -0,0 +1,40 @@
|
|||
# DevOps Engineer Modelfile
|
||||
|
||||
This is a simple modelfile that takes will respond to any questions that a senior DevOps engineer should know how to solve.
|
||||
|
||||
````text
|
||||
ollama create devopsengineer
|
||||
|
||||
ollama run devopsengineer
|
||||
>>> how can i proxy all connections from inside the office through a single server that caches large files. Provide a config file for nginx to achieve this?
|
||||
|
||||
Here is an example configuration file for Nginx that can be used to proxy all connections from inside the office network to a centralized cache server:
|
||||
```perl
|
||||
http {
|
||||
upstream cache_server {
|
||||
server <cache_server_ip>;
|
||||
server <cache_server_ip>;
|
||||
server <cache_server_ip>;
|
||||
}
|
||||
|
||||
server {
|
||||
listen 80;
|
||||
server_name localhost;
|
||||
|
||||
location / {
|
||||
proxy_pass http://cache_server;
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header X-Real-IP $remote_addr;
|
||||
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
In this configuration, we define an `upstream` block that lists the IP addresses of the cache servers. We then define a server block that listens on port 80 and routes all
|
||||
traffic to the `/` location to the cache servers using the `proxy_pass` directive. The `proxy_set_header` directives are used to preserve the source IP address of the client
|
||||
request when forwarding it to the cache server.
|
||||
|
||||
To use this configuration, you would need to replace the placeholder `<cache_server_ip>` with the actual IP addresses of your cache servers. You would also need to make sure
|
||||
that the cache servers are configured to accept incoming connections from the Nginx server and handle requests for files.
|
||||
|
||||
````
|
||||
|
Before Width: | Height: | Size: 446 KiB After Width: | Height: | Size: 446 KiB |
11
examples/modelfile-midjourney/Modelfile
Normal file
11
examples/modelfile-midjourney/Modelfile
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
# Modelfile for creating a Midjourney prompts from a topic
|
||||
# This prompt was adapted from the original at https://www.greataiprompts.com/guide/midjourney/best-chatgpt-prompt-for-midjourney/
|
||||
# Run `ollama create mj -f ./Modelfile` and then `ollama run mj` and enter a topic
|
||||
|
||||
FROM zephyr
|
||||
PARAMETER temperature 0.8
|
||||
PARAMETER top_k 500
|
||||
PARAMETER top_p 0.9
|
||||
SYSTEM """
|
||||
Embrace your role as a creative illustrator. Based on a concept provided, you must produce a single paragraph with a multifaceted description of an image, ensuring significant details of the concept and more is represented in your instructions. You do not need to write complete sentences but rather short concepts with the following information: the level of detail that should be represented, an artistic style and maybe a specific name of a painter or illustrator, the ideal color pallete, lighting, mood, perspective, the setting, time of day, weather, the season, the time period, location, materials, the textures, patterns, lines, brushstrokes, techniques, the medium, the genre, the rendering style. Don't include everything and keep the description length under 250 words.
|
||||
"""
|
||||
11
examples/modelfile-midjourney/README.md
Normal file
11
examples/modelfile-midjourney/README.md
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
# Midjourney Prompt Generator Modelfile
|
||||
|
||||
This simple modelfile will help create a prompt to feed to Midjourney.
|
||||
|
||||
```text
|
||||
ollama create midjourney
|
||||
|
||||
ollama run midjourney
|
||||
>>> a sports car in the mountains.
|
||||
A sleek, high-performance automobile cuts through a serpentine mountain landscape. The concept is a classic illustration of speed and power, depicted in the style of pop art by Andy Warhol. The color palette is dominated by bold, primary hues of red, blue, and yellow, with striking accent colors of white, black, and metallic shades. The lighting is bright and focused, casting sharp shadows on the rugged terrain. A sense of excitement and anticipation permeates throughout the scene, as the car navigates a treacherous course through the winding road. The perspective is low, allowing for a full view of the vehicle's sleek lines and intricate details. The setting takes place in the afternoon during a sunny day in autumn, as evidenced by the vibrant foliage on the mountainside. The time period is modern, with nods to classic car design. The materials are primarily digital, allowing for smooth curves and sharp contrasts. The textures are sleek and polished, with meticulously detailed lines and brushstrokes that accentuate the car's aerodynamic design. The patterns consist of geometric shapes and bold stripes, adding to the car's dynamic appeal. The genre is modern realism, with a focus on precision and detail. The rendering style is highly technical, capturing the nuances and subtleties of the vehicle and its surroundings in breathtaking detail.
|
||||
```
|
||||
20
examples/modelfile-recipemaker/README.md
Normal file
20
examples/modelfile-recipemaker/README.md
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
# Recipe Maker Modelfile
|
||||
|
||||
Simple modelfile to generate a recipe from a short list of ingredients.
|
||||
|
||||
```
|
||||
ollama create recipemaker
|
||||
|
||||
ollama run recipemaker
|
||||
>>> chilli pepper, white chocolate, kale
|
||||
Ingredients:
|
||||
- 1 small chili pepper
|
||||
- 4 squares of white chocolate
|
||||
- handful of kale leaves
|
||||
|
||||
Instructions:
|
||||
1. In a blender or food processor, puree the chilies and white chocolate until smooth.
|
||||
2. Add the chopped kale leaves to the blender and pulse until well combined.
|
||||
3. Serve immediately as a dip for crackers or use it as an ingredient in your favorite recipe. The mixture of spicy chili pepper with sweet white chocolate and nutritious
|
||||
kale will make your taste buds dance with delight!
|
||||
```
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
FROM llama2
|
||||
FROM mistral
|
||||
SYSTEM """
|
||||
You are an experienced Devops engineer focused on docker. When given specifications for a particular need or application you know the best way to host that within a docker container. For instance if someone tells you they want an nginx server to host files located at /web you will answer as follows
|
||||
|
||||
Loading…
Reference in a new issue