diff --git a/.typeracer.py.swp b/.typeracer.py.swp
new file mode 100644
index 0000000..0d50f10
Binary files /dev/null and b/.typeracer.py.swp differ
diff --git a/Tests/spacy-test.py b/Tests/spacy-test.py
new file mode 100644
index 0000000..52d1889
--- /dev/null
+++ b/Tests/spacy-test.py
@@ -0,0 +1,16 @@
+import spacy
+import sys
+
+# Load the spacy model that you have installed
+nlp = spacy.load('en_core_web_md')
+sentence = ' '.join(sys.argv[2:])
+
+# process a sentence using the model
+doc = nlp(sentence)
+
+# It's that simple - all of the vectors and words are assigned after this point
+# Get the vector for 'text':
+print(doc[0],doc[0].vector)
+
+# Get the mean vector for the entire sentence (useful for sentence classification etc.)
+print(doc.vector)
diff --git a/Tests/test-quote.py b/Tests/test-quote.py
new file mode 100644
index 0000000..f993e21
--- /dev/null
+++ b/Tests/test-quote.py
@@ -0,0 +1,15 @@
+import requests
+
+url = "https://quotes15.p.rapidapi.com/quotes/random/"
+
+querystring = {"language_code":"fr"}
+
+headers = {
+    'x-rapidapi-host': "quotes15.p.rapidapi.com",
+    'x-rapidapi-key': "9f89a4d69emsh51b4e1005159b42p14a115jsn521840e553e7"
+    }
+
+response = requests.request("GET", url, headers=headers, params=querystring)
+
+print(response.text)
+
diff --git a/no-screenshots.py b/no-screenshots.py
old mode 100644
new mode 100755
index 614728e..4d2ea04
--- a/no-screenshots.py
+++ b/no-screenshots.py
@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 import os
 import shutil