docs: updated sample output image within README.md and located image …

README.md

@@ -4,7 +4,7 @@
 
 </br>
 
-# Ozone 
+# Ozone
 
 ![SVG of ozone logo](/src/media/ozone_logo.svg)
 
@@ -19,7 +19,7 @@
 
 </div>
 
-Getting air quality data with Python should be easy and straightforward - and that's exactly what Ozone can help you with. 
+Getting air quality data with Python should be easy and straightforward - and that's exactly what Ozone can help you with.
 With Ozone, just 4 lines of code are enough to get you the data you need. And the best part is that you can trust this data to be accurate and reliable, since the package uses the World Air Quality Index's API under the hood! ✅ 📈
 
 Use Ozone to **get real-time air quality data, or historical data from 2014 onwards**, and fetch air quality data **for anywhere in the world** in seconds.
@@ -67,7 +67,7 @@ Get your token [here](https://aqicn.org/data-platform/token/#/)!
 import ozone as ooo
 
 o3 = ooo.Ozone('YOUR_PRIVATE_TOKEN')
-data = o3.get_city_air('New Delhi') 
+data = o3.get_city_air('New Delhi')
 ```
 
 for many cities:
@@ -108,8 +108,7 @@ Ozone can fetch the following parameters:
  * `w`: wind speed, a measure of air in motion. It is measured in kilometers per hour (km/h)
 
 Sample output:
-<img width="1065" alt="blehblhe" src="https://user-images.githubusercontent.com/68847270/159113134-e7e2d76d-c64d-4f96-83c4-e85d8c76b503.png">
-
+<img width="1065" alt="blehblhe" src="./src/media/sample-output.png">
 
 ## Contributing and submitting Pull requests