add readme. Add initial commit.

This commit is contained in:
Jordan 2024-01-08 06:44:36 -08:00
parent bc09df1ddc
commit d52b6d2647
8 changed files with 3442 additions and 29 deletions

2
.env.example Normal file
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@ -0,0 +1,2 @@
METEOSOURCE_API_KEY=
AIROBOROS_PATH=

3
.vscode/settings.json vendored Normal file
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@ -0,0 +1,3 @@
{
"nuxt.isNuxtApp": false
}

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@ -5,7 +5,15 @@ name = "pypi"
[packages]
transformers = "*"
jupyter-to-medium = "*"
ctransformers = "*"
python-dotenv = "*"
notebook = "*"
jupyter = "*"
ipykernel = "*"
jupyter-contrib-nbextensions = "*"
diffusers = "*"
accelerate = "*"
[dev-packages]

736
Pipfile.lock generated
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@ -1,7 +1,7 @@
{
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@ -17,6 +17,14 @@
]
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@ -93,11 +101,11 @@
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22
README.md Normal file
View File

@ -0,0 +1,22 @@
# Using AI Models for Normalizing Human Output
## Getting started
Copy `.env.example` to `.env` and set the environment variables.
You can sign up for Meteosource [here](https://www.meteosource.com/client/sign-up) and you
can download the [Airoboros LLM](https://huggingface.co/TheBloke/airoboros-l2-7B-gpt4-2.0-GGUF)
by running `git lfs clone https://huggingface.co/TheBloke/airoboros-l2-7B-gpt4-2.0-GGUF` in
another directory.
Now install the package files with `pipenv`:
```
$ pipenv install
```
And run the notebook:
```
$ pipenv run jupyter notebook
```

File diff suppressed because one or more lines are too long

683
example-meteosource.json Normal file
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"cloud_cover": {
"total": 45
},
"precipitation": {
"total": 0.7,
"type": "rain"
}
},
"morning": null,
"afternoon": null,
"evening": null
},
{
"day": "2023-12-10",
"weather": "mostly_cloudy",
"icon": 5,
"summary": "Cloudy changing to partly sunny by evening. Temperature 12/13 °C. Strong wind (13 m/s) from SW with gusts up to 18 m/s.",
"all_day": {
"weather": "mostly_cloudy",
"icon": 5,
"temperature": 12.5,
"temperature_min": 12.0,
"temperature_max": 13.2,
"wind": {
"speed": 11.5,
"dir": "WSW",
"angle": 238
},
"cloud_cover": {
"total": 79
},
"precipitation": {
"total": 2.0,
"type": "rain"
}
},
"morning": null,
"afternoon": null,
"evening": null
},
{
"day": "2023-12-11",
"weather": "light_rain",
"icon": 10,
"summary": "Light rain changing to rain showers by afternoon. Temperature 12/12 °C. Strong wind (12 m/s) from SW with gusts up to 19 m/s.",
"all_day": {
"weather": "light_rain",
"icon": 10,
"temperature": 12.0,
"temperature_min": 12.0,
"temperature_max": 12.2,
"wind": {
"speed": 10.9,
"dir": "SW",
"angle": 217
},
"cloud_cover": {
"total": 72
},
"precipitation": {
"total": 3.9,
"type": "rain"
}
},
"morning": null,
"afternoon": null,
"evening": null
},
{
"day": "2023-12-12",
"weather": "partly_sunny",
"icon": 4,
"summary": "Partly sunny, more clouds in the afternoon. Temperature 10/12 °C, but a feels-like temperature of up to 7 °C. Strong wind (14 m/s) from NW with gusts up to 18 m/s.",
"all_day": {
"weather": "partly_sunny",
"icon": 4,
"temperature": 11.0,
"temperature_min": 10.2,
"temperature_max": 11.8,
"wind": {
"speed": 12.8,
"dir": "WNW",
"angle": 284
},
"cloud_cover": {
"total": 48
},
"precipitation": {
"total": 0.2,
"type": "rain"
}
},
"morning": null,
"afternoon": null,
"evening": null
},
{
"day": "2023-12-13",
"weather": "partly_sunny",
"icon": 4,
"summary": "Partly sunny. Temperature 10/11 °C, but a feels-like temperature of only 4 °C. Strong wind (11 m/s) from NW in the morning with gusts up to 15 m/s, weakening in the afternoon.",
"all_day": {
"weather": "partly_sunny",
"icon": 4,
"temperature": 10.2,
"temperature_min": 10.2,
"temperature_max": 10.5,
"wind": {
"speed": 10.7,
"dir": "NNW",
"angle": 344
},
"cloud_cover": {
"total": 59
},
"precipitation": {
"total": 0.0,
"type": "none"
}
},
"morning": null,
"afternoon": null,
"evening": null
}
]
}
}

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scripts/start.sh Executable file
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pipenv run jupyter notebook