class Animalese: def __init__(self, letters_file, onload): with open(letters_file, 'rb') as f: self.letter_library = np.frombuffer(f.read(), dtype=np.uint8) onload() def synthesize(self, script, shorten=False, pitch=1.0): def shorten_word(word): return word[0] + word[-1] if len(word) > 1 else word if shorten: # Replace all non-alphabet characters with spaces and split the script into words words = re.sub(r'[^a-zA-Z]', ' ', script).split() # Shorten each word and join them back into a single string processed_script = "".join(map(shorten_word, words)) else: processed_script = script data = [] sample_freq = 44100 library_letter_secs = 0.15 library_samples_per_letter = int(library_letter_secs * sample_freq) output_letter_secs = 0.075 output_samples_per_letter = int(output_letter_secs * sample_freq) for c in processed_script.upper(): if 'A' <= c <= 'Z': library_letter_start = library_samples_per_letter * (ord(c) - ord('A')) for i in range(output_samples_per_letter): data.append(self.letter_library[44 + library_letter_start + int(i * pitch)]) else: data.extend([127] * output_samples_per_letter) # Create the .wav file data data = np.array(data, dtype=np.uint8) return self.create_wave(data, sample_freq) def create_wave(self, data, sample_rate): output_file = "output.wav" with wave.open(output_file, "wb") as f: f.setnchannels(1) f.setsampwidth(1) f.setframerate(sample_rate) f.writeframes(data.tobytes()) return output_file # Initialize the synthesizer synth = Animalese('animalese.wav', lambda: print("Loaded")) def generate_audio(text, shorten, pitch): return synth.synthesize(text, shorten, pitch) def preview_audio(audio_file): with open(audio_file, 'rb') as f: return f.read()