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Update app.py
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app.py
CHANGED
@@ -6,41 +6,65 @@ import os
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import random
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import string
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import re
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app = Flask(__name__)
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# Define
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def convert_text_to_speech(parrafo, model):
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# Limit text to 500 characters
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parrafo = parrafo[:100000]
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parrafo_filtrado = filter_text(parrafo)
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random_name = ''.join(random.choices(string.ascii_letters + string.digits, k=8)) + '.wav'
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output_file = os.path.join(file_folder, random_name)
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app.logger.info("Audio file created at: %s", output_file)
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piper_exe = os.path.join(file_folder, 'piper') #
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if os.path.isfile(piper_exe):
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comando = f'echo {
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subprocess.run(comando, shell=True)
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return output_file
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else:
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return "
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@app.route('/')
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def index():
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model_options = [file for file in os.listdir(model_folder) if file.endswith('.onnx')]
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# Log the contents of the current folder
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app.logger.info("Contents of current folder: %s", os.listdir(file_folder))
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return render_template('index.html', model_options=model_options)
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@@ -59,6 +83,9 @@ def convert_text():
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app.logger.error("Error deleting file: %s", error)
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return response
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with open(output_file, 'rb') as audio_file:
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audio_content = audio_file.read()
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@@ -69,4 +96,4 @@ def convert_text():
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return response
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860, debug=False)
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import random
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import string
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import re
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import logging
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app = Flask(__name__)
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# Define los nombres asignados a modelos específicos, en caso de no existir no se muestran
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model_names = {
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"Español México | Kamora Neuronal": {
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"model_path": "es_ES-kamora-7539-high.onnx",
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"replacements": [('\n', '. ')]
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},
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"Español México | Claude": {
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"model_path": "es_MX-claude-14947-epoch-high.onnx",
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"replacements": [('(', ','), (')', ','), ('?', ','), ('¿', ','), (':', ','), ('\n', ' ')]
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}
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}
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# Comprueba si los modelos definidos existen en la carpeta de modelos
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model_folder = '/home/app/' # Asegúrate de definir la ruta correcta a la carpeta de modelos
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existing_models = [model_name for model_name in model_names.keys() if os.path.isfile(os.path.join(model_folder, model_names[model_name]["model_path"]))]
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def multiple_replace(text, replacements):
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# Iterar sobre cada par de remplazo
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for old, new in replacements:
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text = text.replace(old, new)
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return text
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def filter_text(text, model_name):
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if model_name in model_names:
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replacements = model_names[model_name]["replacements"]
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# Realizar reemplazos específicos del modelo
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filtered_text = multiple_replace(text, replacements)
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# Escapar todos los caracteres especiales dentro de las comillas
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filtered_text = re.sub(r'(["\'])', lambda m: "\\" + m.group(0), filtered_text)
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return filtered_text
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else:
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logging.error(f"No se encontró el modelo '{model_name}'.")
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return None
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# Define una función para convertir texto a voz
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def convert_text_to_speech(text, model_name):
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filtered_text = filter_text(text, model_name)[:500] # Limitar el texto a 500 caracteres
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if filtered_text is None:
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return None
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random_name = ''.join(random.choices(string.ascii_letters + string.digits, k=8)) + '.wav'
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output_file = os.path.join(file_folder, random_name)
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app.logger.info("Audio file created at: %s", output_file)
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piper_exe = os.path.join(file_folder, 'piper') # Ajusta la ruta para piper
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if os.path.isfile(piper_exe):
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comando = f'echo {filtered_text} | "{piper_exe}" -m {model_name} -f {output_file}'
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subprocess.run(comando, shell=True)
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return output_file
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else:
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return "No se encontró el archivo piper.exe en el directorio correcto."
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@app.route('/')
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def index():
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model_options = existing_models
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app.logger.info("Contents of current folder: %s", os.listdir(file_folder))
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return render_template('index.html', model_options=model_options)
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app.logger.error("Error deleting file: %s", error)
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return response
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if output_file is None:
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return "Error: No se pudo generar el archivo de audio."
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with open(output_file, 'rb') as audio_file:
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audio_content = audio_file.read()
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return response
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860, debug=False)
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