Update README.md

README.md

@@ -1,44 +1,44 @@
-# SprectrumRGB
+# Spectrum RGB
 
 **_Essential REST API service to convert spectrum to RGB_**
 
 - Python REST API using [FastAPI](https://fastapi.tiangolo.com/)
 - Docker image via github actions (arm and x86)
-- Tailoured for frequences from [AdaFruti AS7341](https://learn.adafruit.com/adafruit-as7341-10-channel-light-color-sensor-breakout)
+- Tailored for frequencies from [AdaFruti AS7341](https://learn.adafruit.com/adafruit-as7341-10-channel-light-color-sensor-breakout)
 
 ## Theory
 
 Firstly, colo[u]r theory is a large topic, very very large - you have been warned!
 
-The idea was to take the sprectrum values from the Adafruit AS7341 and convert that to a RGB value that can be sent to a tri-colour LED or strip.
+The idea was to take the spectrum values from the Adafruit AS7341 and convert that to a RGB value that can be sent to a tri-colour LED or strip.
 
 This is link in with an outdoor light sensor and the WS8212B led strip in the office. 
 
 ### AS7341
 
 This outputs counts for a number of frequencies: 415nm, 445nm, 480nm, 515nm, 555nm, 590nm, 630nm, 680nm
-In addition there near-ir counts, but I've stuck with the visible conts.
+In addition there near-ir counts, but I've stuck with the visible counts.
 
 As an example here's the distribution of these frequencies currently getting. ![](./_docs/Screenshot%202023-03-11%20091356.png)
 
 The sensor gets these values to a MQTT topic, so the Node-Red flow is processing these already; but it need to get the RGB value to send to the LEDs.
 
 ### Spectrum to RGB Conversion
 
-Being a photograher I knew that the theory here was immense, so knew to be careful looking for the conversion algorthm. Specifically the aim was to get a 'emperically perceptually equivalent'. (_i.e._ it looked ok-ish).
+Being a photographer I knew that the theory here was immense, so knew to be careful looking for the conversion algorithm. Specifically the aim was to get a 'empirically perceptually equivalent'. (_i.e._ it looked ok-ish).
 
 A [superb post on the SciPython](https://scipython.com/blog/converting-a-spectrum-to-a-colour/) site provided the theory and also some python code that was very close to what was needed. This specifically calculates the RGB for given colour temperature; colour temperature was converted to a spectrum of wave lengths, and then to RGB.
 
-The code here is is a very large extent taken from the code on that page; with two changes:
+The code here is to a very large extent taken from the code on that page; with two changes:
 
 - I didn't need the colour temperature to spectrum function
-- The sprectrum it uses is frequencies from 380nm increase in 5nm increments. With only 8 entires in the AS7341 spectrum this need some changes. The `cie-cmf.txt` file was reduced to just the frequencies I had (the `aprox.txt` file). 
+- The spectrum it uses is frequencies from 380nm increase in 5nm increments. With only 8 entires in the AS7341 spectrum this need some changes. The `cie-cmf.txt` file was reduced to just the frequencies I had (the `aprox.txt` file). 
 
 ### REST API
 
-Using the [FastAPI](https://fastapi.tiangolo.com/) it was straightforward to create a simple Python REST api that would accept a simple JSON structure with the frequenciy counts. Process this via the algorithm above, and return RGB values (both in hex and int styles) in a JSON structure. 
+Using the [FastAPI](https://fastapi.tiangolo.com/) it was straightforward to create a simple Python REST api that would accept a simple JSON structure with the frequency counts. Process this via the algorithm above, and return RGB values (both in hex and int styles) in a JSON structure. 
 
-That's it really, built into a docker image via github actions - ready to be deployed into my Portainer configuration.
+That's it really, built into a docker image via github actions - ready to be deployed into my [Portainer](https://www.portainer.io/) configuration.
 
 ## Deployment
 
@@ -47,4 +47,4 @@ Briefly, the system is configured as follows:
 - Arduino captures sensor values, and sends via 433Mhz
 - RaspberryPi I've called the 'EdgeController' receives the 433Mhz signal, and forwards on via MQTT
 - Node-RED flow triggered by MQTT. This takes the spectrum count array, passes to this SpectrumRGB service, and then publishes on MQTT
-- PicoW is subscribed to MQTT and does the LED strip control
+- PicoW is subscribed to MQTT and does the LED strip control