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64 lines
2.3 KiB
Python
64 lines
2.3 KiB
Python
"""
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TextToSpeechNode Module
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"""
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from typing import List, Optional
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from .base_node import BaseNode
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class TextToSpeechNode(BaseNode):
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"""
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Converts text to speech using the specified text-to-speech model.
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Attributes:
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tts_model: An instance of the text-to-speech model client.
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verbose (bool): A flag indicating whether to show print statements during execution.
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Args:
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input (str): Boolean expression defining the input keys needed from the state.
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output (List[str]): List of output keys to be updated in the state.
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node_config (dict): Additional configuration for the node.
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node_name (str): The unique identifier name for the node, defaulting to "TextToSpeech".
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"""
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def __init__(self, input: str, output: List[str],
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node_config: Optional[dict]=None, node_name: str = "TextToSpeech"):
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super().__init__(node_name, "node", input, output, 1, node_config)
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self.tts_model = node_config["tts_model"]
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self.verbose = False if node_config is None else node_config.get("verbose", False)
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def execute(self, state: dict) -> dict:
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"""
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Converts text to speech using the specified text-to-speech model.
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Args:
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state (dict): The current state of the graph. The input keys will be used to fetch the
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correct data types from the state.
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Returns:
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dict: The updated state with the output key containing the audio generated from the text.
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Raises:
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KeyError: If the input keys are not found in the state, indicating that the
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necessary information for generating the audio is missing.
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"""
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if self.verbose:
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print(f"--- Executing {self.node_name} Node ---")
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# Interpret input keys based on the provided input expression
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input_keys = self.get_input_keys(state)
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# Fetching data from the state based on the input keys
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input_data = [state[key] for key in input_keys]
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# get the text to translate
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text2translate = str(next(iter(input_data[0].values())))
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# text2translate = str(input_data[0])
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audio = self.tts_model.run(text2translate)
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state.update({self.output[0]: audio})
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return state
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