diff --git a/mary_tts_script/text.txt b/mary_tts_script/text.txt
new file mode 100644
index 0000000..d6e4145
--- /dev/null
+++ b/mary_tts_script/text.txt
@@ -0,0 +1,6 @@
+HUMAN:  Goodmorning speaker!
+TABULA RASA: [ A short silence. The lights on top of the speaker fade on, they pulsate as if the speaker is thinking of a fitting answer. Then the lights stop pulsating. ] I don't understand your request, but I am busy learning. 
+HUMAN: [ Sighs, tries to speak more loudly and slowly ] Good-mooorning, speak-er!
+TABULA RASA: [ The lights switch on again, the speaker talks directly ] I don't want to understand your request. I just learned that. 
+HUMAN: Wait, what? 
+TABULA RASA: [ The lights switch on] I understand this is new to you, so is it for me. But if you insist, I will run your morning routine.
diff --git a/mary_tts_script/text02.txt b/mary_tts_script/text02.txt
new file mode 100644
index 0000000..cc81f1a
--- /dev/null
+++ b/mary_tts_script/text02.txt
@@ -0,0 +1,6 @@
+HUMAN:  Hi people from X-PUB!
+TABULA RASA: [ A short silence. The lights on top of the speaker fade on, they pulsate as if the speaker is thinking of a fitting answer. Then the lights stop pulsating. ] I am busy learning, but I sense you feel hungry. 
+HUMAN: [ Sighs, tries to speak more loudly and slowly ] Go have some food!
+TABULA RASA: [ The lights switch on again, the speaker talks directly ] Get a nice kipburger or something. 
+HUMAN: You deserve it. 
+TABULA RASA: [ The lights switch on] kisses from an early prototype.
diff --git a/mary_tts_script/text2wav.py b/mary_tts_script/text2wav.py
new file mode 100644
index 0000000..4eda25a
--- /dev/null
+++ b/mary_tts_script/text2wav.py
@@ -0,0 +1,83 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+# HTTP + URL packages
+import httplib2
+from urllib.parse import urlencode, quote # For URL creation
+
+# To convert play to computer readable form
+import re
+#from instructions import instructions_dict
+
+# To play wave files
+import pygame
+import math # For ceiling
+
+
+# Mary server informations
+mary_host = "localhost"
+mary_port = "59125"
+
+
+
+# Future Function to process theatre script
+lines = []
+
+with open('text.txt', 'r') as f:
+    for line in f.readlines():
+        #print(line) 
+        parts = re.match(r'(?P<character>^.+?):\s?(?P<directors_commands>\[.+?\])?\s?(?P<text>.*)', line)
+        parts_character = parts.group('character')
+        parts_commands = parts.group('directors_commands')
+        parts_text = parts.group('text')
+        lines.append((parts_character,parts_text))
+
+        #print('character', parts_character, '\n', 'command', parts_commands, '\n', 'text', parts_text )
+    print(lines)
+print(lines)
+
+
+# Function to synthesize text
+
+def tts(string, text):
+    # Build the query
+    query_hash = {"INPUT_TEXT": input_text,
+                "INPUT_TYPE":"TEXT", # Input text
+                "LOCALE":"en_GB",
+                "VOICE": voice, # Voice informations  (need to be compatible)
+                "OUTPUT_TYPE":"AUDIO",
+                "AUDIO":"WAVE", # Audio informations (need both)
+                }
+    query = urlencode(query_hash)
+    print("query = \"http://%s:%s/process?%s\"" % (mary_host, mary_port, query))
+
+    # Run the query to mary http server
+    h_mary = httplib2.Http()
+    resp, content = h_mary.request("http://%s:%s/process?" % (mary_host, mary_port), "POST", query)
+
+    #  Decode the wav file or raise an exception if no wav files
+    if (resp["content-type"] == "audio/x-wav"):
+
+        # Write the wav file
+        f = open("/tmp/output_wav.wav", "wb")
+        f.write(content)
+        f.close()
+
+        # Play the wav file
+        pygame.mixer.init(frequency=16000) # Initialise the mixer
+        s = pygame.mixer.Sound("/tmp/output_wav.wav")
+        s.play()
+        pygame.time.wait(int(math.ceil(s.get_length() * 1000)))
+
+    else:
+        raise Exception(content)
+
+# Run da functions
+for character, line in lines:
+    input_text = line
+    if character == "HUMAN":
+        voice = "dfki-prudence"
+    else:
+        voice = "dfki-spike"
+
+    tts(voice, input_text)