docs(aio-usage): update docs to show examples (#1921)

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2024-03-28 18:16:58 +01:00 committed by GitHub
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@ -68,8 +68,8 @@ services:
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/readyz"]
interval: 1m
timeout: 120m
retries: 120
timeout: 20m
retries: 5
ports:
- 8080:8080
environment:
@ -89,8 +89,208 @@ services:
For a list of all the container-images available, see [Container images]({{%relref "docs/reference/container-images" %}}). To learn more about All-in-one images instead, see [All-in-one Images]({{%relref "docs/reference/aio-images" %}}).
{{% alert icon="💡 Models caching" %}}
The **AIO** image will download the needed models on the first run if not already present and store those in `/build/models` inside the container. The AIO models will be automatically updated with new versions of AIO images.
You can change the directory inside the container by specifying a `MODELS_PATH` environment variable (or `--models-path`).
If you want to use a named model or a local directory, you can mount it as a volume to `/build/models`:
```bash
docker run -p 8080:8080 --name local-ai -ti -v $PWD/models:/build/models localai/localai:latest-aio-cpu
```
or associate a volume:
```bash
docker create volume localai-models
docker run -p 8080:8080 --name local-ai -ti -v localai-models:/build/models localai/localai:latest-aio-cpu
```
{{% /alert %}}
## Try it out
LocalAI does not ship a webui by default, however you can use 3rd party projects to interact with it (see also [All-in-one Images]({{%relref "docs/integrations" %}}) ). However, you can test out the API endpoints using `curl`.
### Text Generation
Creates a model response for the given chat conversation. [OpenAI documentation](https://platform.openai.com/docs/api-reference/chat/create).
<details>
```bash
curl http://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{ "model": "gpt-4", "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}] }'
```
</details>
### GPT Vision
Understand images.
<details>
```bash
curl http://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4-vision-preview",
"messages": [
{
"role": "user", "content": [
{"type":"text", "text": "What is in the image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
}
}
],
"temperature": 0.9
}
]
}'
```
</details>
### Function calling
Call functions
<details>
```bash
curl https://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4",
"messages": [
{
"role": "user",
"content": "What is the weather like in Boston?"
}
],
"tools": [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["location"]
}
}
}
],
"tool_choice": "auto"
}'
```
</details>
### Image Generation
Creates an image given a prompt. [OpenAI documentation](https://platform.openai.com/docs/api-reference/images/create).
<details>
```bash
curl http://localhost:8080/v1/images/generations \
-H "Content-Type: application/json" -d '{
"prompt": "A cute baby sea otter",
"size": "256x256"
}'
```
</details>
### Text to speech
Generates audio from the input text. [OpenAI documentation](https://platform.openai.com/docs/api-reference/audio/createSpeech).
<details>
```bash
curl http://localhost:8080/v1/audio/speech \
-H "Content-Type: application/json" \
-d '{
"model": "tts-1",
"input": "The quick brown fox jumped over the lazy dog.",
"voice": "alloy"
}' \
--output speech.mp3
```
</details>
### Audio Transcription
Transcribes audio into the input language. [OpenAI Documentation](https://platform.openai.com/docs/api-reference/audio/createTranscription).
<details>
Download first a sample to transcribe:
```bash
wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
```
Send the example audio file to the transcriptions endpoint :
```bash
curl http://localhost:8080/v1/audio/transcriptions \
-H "Content-Type: multipart/form-data" \
-F file="@$PWD/gb1.ogg" -F model="whisper-1"
```
</details>
### Embeddings Generation
Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [OpenAI Embeddings](https://platform.openai.com/docs/api-reference/embeddings).
<details>
```bash
curl http://localhost:8080/embeddings \
-X POST -H "Content-Type: application/json" \
-d '{
"input": "Your text string goes here",
"model": "text-embedding-ada-002"
}'
```
</details>
{{% alert icon="💡" %}}
Don't use the model file as `model` in the request unless you want to handle the prompt template for yourself.
Use the model names like you would do with OpenAI like in the examples below. For instance `gpt-4-vision-preview`, or `gpt-4`.
{{% /alert %}}
## What's next?
There is much more to explore! run any model from huggingface, video generation, and voice cloning with LocalAI, check out the [features]({{%relref "docs/features" %}}) section for a full overview.
Explore further resources and community contributions:
- [Build LocalAI and the container image]({{%relref "docs/getting-started/build" %}})