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https://github.com/lunarring/lunar_tools

toolkit for interactive exhibitions
https://github.com/lunarring/lunar_tools

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toolkit for interactive exhibitions

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README 

        
# Introduction

Welcome to Lunar Tools, a comprehensive toolkit designed to fascilitate the programming of interactive exhibitions. Our suite of simple, modular tools is crafted to offer a seamless and hopefully bug-free experience for both exhibitors and visitors.



# Installation

```bash

pip install git+https://github.com/lunarring/lunar_tools

```

## Ubuntu

On Ubuntu, you may have to install additional dependencies for sound playback/recording.



```bash

sudo apt-get install libasound2-dev libportaudio2

```



For running the midi controllers, you might have to create a symlink:

```bash

cd /usr/lib/x86_64-linux-gnu/

sudo ln -s alsa-lib/libasound_module_conf_pulse.so libasound_module_conf_pulse.so

```



## API Keys



Our system includes a convenient automatic mode for reading and writing API keys. This feature enables you to dynamically set your API key as needed, and the file will be stored on your local computer.

However, if you prefer, you can specify your API keys in your shell configuration file (e.g. ~/.bash_profile or ~/.zshrc or ~/.bash_rc). In this case, paste the below lines with the API keys you want to add.

```bash

export OPENAI_API_KEY="XXX"

export REPLICATE_API_TOKEN="XXX"

export ELEVEN_API_KEY="XXX"

```



# Inputs

## AudioRecorder

```python

import lunar_tools as lt

import time

audio_recorder = lt.AudioRecorder()

audio_recorder.start_recording("myvoice.mp3")

time.sleep(3)

audio_recorder.stop_recording()    

```



## Get image from webcam

```python

import lunar_tools as lt

cam = lt.WebCam()

img = cam.get_img()

```



## Control Inputs

Allow real-time change of variables, ideal for changing variables on the fly during a infinete *while True* loop.. The logic is that buttons can change boolean variables and sliders can change numerical values. 

For buttons, we support the following modes:

* **toggle**: button activation toggles the state, like a light switch.

* **held_down**: returns if the button is currently, at this moment, being pressed down.

* **pressed_once**: checks if the button has been pressed since the last time we checked, returning a single time "True" if the button is held down (at the beginning). 

* **released_once**: checks if the button has been released since the last time we checked, returning a single time "True" if the button is held down (at the end). 



For sliders, the default is a range between 0.0 and 1.0. The default return value is the middle point between your supplied val_min and val_max, e.g. 0.5.

  

### Keyboard inputs

As we have plenty of buttons on the keyboard but no sliders, we have to emulate the sliders using *cursor up* and *cursor down* to increase/decrease the respective value. For instance, you could map some numerical value to "x" with minimum 3 and maximum 6 as in the example below. Then whenever the user presses "x", this slider becomes active, and the user can change it's value by *cursor up* and *cursor down*. 



```python

keyboard_input = lt.KeyboardInput()

while True:

    time.sleep(0.1)

    a = keyboard_input.get('a', button_mode='held_down')

    s = keyboard_input.get('s', button_mode='pressed_once')

    d = keyboard_input.get('d', button_mode='released_once')

    f = keyboard_input.get('f', button_mode='toggle')

    g = keyboard_input.get('g', val_min=3, val_max=6)

    h = keyboard_input.get('h', val_min=3, val_max=5)

    print(f"{a} {s} {d} {f} {g} {h}")

```



### Midi Controller

We currently support akai lpd8 and akai midimix devices. However, in principle all midi devices can be added, you just need to specify it in the midi_configs/your_device.yml.

We think of the midi device as a grid, where we name the colums with letters ("A", "B", "C", ...) and the rows with numbers (0, 1 , 2, ...). This allows us to identify the buttons/sliders, e.g. "A0" is the most upper left button/slider, and "A1" is the one below it. 



```python

import lunar_tools as lt

akai_lpd8 = lt.MidiInput(device_name="akai_lpd8")



while True:

    time.sleep(0.1)

    a0 = akai_lpd8.get("A0", button_mode='toggle') # toggle switches the state with every press between on and off

    b0 = akai_lpd8.get("B0", button_mode='held_down') # is_held checks if the button is pressed down at the moment

    c0 = akai_lpd8.get("C0", button_mode='released_once') # down_once checks if the button was pressed since we checked last time

    e0 = akai_lpd8.get("E0", val_min=3, val_max=6) # e0 is a slider float between val_min and val_max

    print(f"a0: {a0}, b0: {b0}, c0: {c0}, e0: {e0}")

```



# Outputs

## Play sounds

```python

import lunar_tools as lt

player = lt.SoundPlayer()

player.play_sound("myvoice.mp3")

```



## Real-time display (Torch, PIL, numpy)

Allows to fast render images from torch, numpy or PIL in a window. Can be directly from the GPU, without need to copy. Works with np arrays, PIL.Image and torch tensors (just uncomment from below).

```python

import lunar_tools as lt

import torch

from PIL import Image

import numpy as np

sz = (1080, 1920)

renderer = lt.Renderer(width=sz[1], height=sz[0])

while True:

    # image = np.random.rand(sz[0],sz[1],4) * 255 # numpy array

    # image = Image.fromarray(np.uint8(np.random.rand(sz[0],sz[1],4) * 255)) # PIL array

    image = torch.rand((sz[0],sz[1],4)) * 255 # Torch tensors

    renderer.render(image)

```



note you can speed-up opengl render calls by upto a factor of 3 by disabling

VSYNC on your system

On Ubuntu do: Run nvidia-settings 2. Screen 0 > OpenGl > Sync to VBLank ->

off



### Real-time display example with remote streaming

Remote streaming allows to generate images on one PC, typically with a beefy GPU, and to show them on another one, which may not have a GPU. The streaming is handled via ZMQ and automatically compresses the images using jpeg compression.



Sender code example: generates an image and sends it to receiver. This is your backend server with GPU and we are emulating the image creation process by generating random arrays.

```python

import lunar_tools as lt

import numpy as np

sz = (800, 800)

ip = '127.0.0.1'



server = lt.ZMQPairEndpoint(is_server=True, ip='127.0.0.1', port='5556')



while True:

    test_image = np.random.randint(0, 256, (sz[0], sz[1], 3), dtype=np.uint8)

    img_reply = server.send_img(test_image)

```



Reveiver code example: receives the image and renders it, this would be the frontend client e.g. a macbook.

```python

import lunar_tools as lt

sz = (800, 800)

ip = '127.0.0.1'



client = lt.ZMQPairEndpoint(is_server=False, ip='127.0.0.1', port='5556')

renderer = lt.Renderer(width=sz[1], height=sz[0])

while True:

    image = client.get_img()

    if image is not None:

        renderer.render(image)

```



# Language



## GPT4

```python

import lunar_tools as lt

gpt4 = lt.GPT4()

msg = gpt4.generate("tell me about yourself")

```



## Speech2Text

```python

import lunar_tools as lt

import time

speech_detector = lt.Speech2Text()

speech_detector.start_recording()

time.sleep(3)

translation = speech_detector.stop_recording()

print(f"translation: {translation}")

```



The playback is threaded and does not block the main application. You can stop the playback via: 

```python

player.stop_sound()

```



## Text2Speech OpenAI

```python

import lunar_tools as lt

text2speech = lt.Text2SpeechOpenAI()

text2speech.change_voice("nova")

text2speech.generate("hey there can you hear me?", "hervoice.mp3")

```



The Text2Speech can also directly generate and play back the sound via: 

```python

text2speech.play("hey there can you hear me?")

```



## Text2Speech elevenlabs

```python

text2speech = Text2SpeechElevenlabs()

text2speech.change_voice("FU5JW1L0DwfWILWkNpW6")

text2speech.play("hey there can you hear me?")

```



# Image generation APIs

## Generate Images with Dall-e-3

```python

import lunar_tools as lt

dalle3 = lt.Dalle3ImageGenerator()

image, revised_prompt = dalle3.generate("a beautiful red house with snow on the roof, a chimney with smoke")

```



## Generate Images with SDXL Turbo

```python

import lunar_tools as lt

sdxl_turbo = lt.SDXL_TURBO()

image, img_url = sdxl_turbo.generate("An astronaut riding a rainbow unicorn", "cartoon")

```



# Movie handling

## Saving a series of images as movie

```python

import lunar_tools as lt

ms = lt.MovieSaver("my_movie.mp4", fps=24)

for _ in range(10):

    img = (np.random.rand(512, 1024, 3) * 255).astype(np.uint8)

    ms.write_frame(img)

ms.finalize()

```



## Loading movie and retrieving frames

```python

import lunar_tools as lt

mr = lt.MovieReader("my_movie.mp4")

for _ in range(mr.nmb_frames):

    img = mr.get_next_frame()

```



# Communication

## ZMQ

We have a unified client-server setup in this example, which demonstrates bidirectional communication using ZMQPairEndpoints.

```python

# Create server and client

server = lt.ZMQPairEndpoint(is_server=True, ip='127.0.0.1', port='5556')

client = lt.ZMQPairEndpoint(is_server=False, ip='127.0.0.1', port='5556')



# Client: Send JSON to Server

client.send_json({"message": "Hello from Client!"})

time.sleep(0.01)

# Server: Check for received messages

server_msgs = server.get_messages()

print("Messages received by server:", server_msgs)



# Server: Send JSON to Client

server.send_json({"response": "Hello from Server!"})

time.sleep(0.01)



# Client: Check for received messages

client_msgs = client.get_messages()

print("Messages received by client:", client_msgs)



# Bidirectional Image Sending

sz = (800, 800)

client_image = np.random.randint(0, 256, (sz[0], sz[1], 3), dtype=np.uint8)

server_image = np.random.randint(0, 256, (sz[0], sz[1], 3), dtype=np.uint8)



# Client sends image to Server

client.send_img(client_image)

time.sleep(0.01)

server_received_image = server.get_img()

if server_received_image is not None:

    print("Server received image from Client")



# Server sends image to Client

server.send_img(server_image)

time.sleep(0.01)

client_received_image = client.get_img()

if client_received_image is not None:

    print("Client received image from Server")

```



## OSC

```python

import lunar_tools as lt

import numpy as np

import time

sender = lt.OSCSender('127.0.0.1')

receiver = lt.OSCReceiver('127.0.0.1')

    

for i in range(10):

    time.sleep(0.1)

    # sends two sinewaves to the respective osc variables

    val1 = (np.sin(0.5*time.time())+1)*0.5

    sender.send_message("/env1", val1)



receiver.get_all_values("/env1")

```



# Logging and terminal printing

```python

import lunar_tools as lt

logger = lt.LogPrint()  # No filename provided, will use default current_dir/logs/%y%m%d_%H%M

logger.print("white")

logger.print("red", "red")

logger.print("green", "green")

```



# Health status reporting via telegram

First you will need to update your bashrc or bash_profile with the telegram bot env variables.



```bash

export TELEGRAM_BOT_TOKEN='XXX'

export TELEGRAM_CHAT_ID='XXX'

```



See the below example for the basic supported features

```python

health_reporter = lt.HealthReporter("Name of exhibit")

    

# in while loop, always report that exhibit is alive. This happens in a thread already.

for i in range(100): #while lopp

        health_reporter.report_alive()

    

# we can also just throw exceptions in there!

try: 

    x = y

except Exception as e:

    health_reporter.report_exception(e)

    

# or send something friendly!

health_reporter.report_message("friendly manual message")

```



# Devinfos

## Testing

pip install pytest



make sure you are in base folder

```python

python -m pytest lunar_tools/tests/

```



## Get requirements

```python

pipreqs . --force

```