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84 lines
2.3 KiB
Python
84 lines
2.3 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# HTTP + URL packages
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import httplib2
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from urllib.parse import urlencode, quote # For URL creation
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# To convert play to computer readable form
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import re
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#from instructions import instructions_dict
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# To play wave files
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import pygame
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import math # For ceiling
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# Mary server informations
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mary_host = "localhost"
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mary_port = "59125"
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# Future Function to process theatre script
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lines = []
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with open('text.txt', 'r') as f:
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for line in f.readlines():
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#print(line)
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parts = re.match(r'(?P<character>^.+?):\s?(?P<directors_commands>\[.+?\])?\s?(?P<text>.*)', line)
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parts_character = parts.group('character')
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parts_commands = parts.group('directors_commands')
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parts_text = parts.group('text')
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lines.append((parts_character,parts_text))
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#print('character', parts_character, '\n', 'command', parts_commands, '\n', 'text', parts_text )
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print(lines)
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print(lines)
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# Function to synthesize text
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def tts(string, text):
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# Build the query
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query_hash = {"INPUT_TEXT": input_text,
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"INPUT_TYPE":"TEXT", # Input text
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"LOCALE":"en_GB",
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"VOICE": voice, # Voice informations (need to be compatible)
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"OUTPUT_TYPE":"AUDIO",
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"AUDIO":"WAVE", # Audio informations (need both)
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}
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query = urlencode(query_hash)
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print("query = \"http://%s:%s/process?%s\"" % (mary_host, mary_port, query))
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# Run the query to mary http server
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h_mary = httplib2.Http()
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resp, content = h_mary.request("http://%s:%s/process?" % (mary_host, mary_port), "POST", query)
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# Decode the wav file or raise an exception if no wav files
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if (resp["content-type"] == "audio/x-wav"):
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# Write the wav file
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f = open("/tmp/output_wav.wav", "wb")
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f.write(content)
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f.close()
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# Play the wav file
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pygame.mixer.init(frequency=16000) # Initialise the mixer
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s = pygame.mixer.Sound("/tmp/output_wav.wav")
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s.play()
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pygame.time.wait(int(math.ceil(s.get_length() * 1000)))
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else:
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raise Exception(content)
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# Run da functions
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for character, line in lines:
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input_text = line
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if character == "HUMAN":
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voice = "dfki-prudence"
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else:
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voice = "dfki-spike"
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tts(voice, input_text)
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