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NeuralFalcon
commited on
Create cli.py
Browse files- scripts/cli.py +129 -0
scripts/cli.py
ADDED
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gradio_url="http://127.0.0.1:7860/"
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from gradio_client import Client
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import json
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import os
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import shutil
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from rich.console import Console
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from rich.text import Text
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import simpleaudio as sa
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# Initialize the Gradio client
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client = Client(gradio_url)
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console = Console()
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voice_dict = None
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voices = {}
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output_dir = "api_output"
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def get_voice_names():
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global voice_dict
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# Get the result from the client
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result = client.predict(api_name="/get_voice_names")
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# Convert the result string into a Python dictionary
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voice_dict = json.loads(result)
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id = 1
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for key in voice_dict:
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if len(voice_dict[key]) > 0:
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for i in voice_dict[key]:
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voices[id] = i
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id += 1
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return voice_dict
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def display_voice_names():
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global voice_dict
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id_num = 1
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for key in voice_dict:
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if len(voice_dict[key]) > 0:
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gender = key.replace("_", " ").capitalize()
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console.print(f"[bold cyan]{gender}:[/bold cyan]")
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for voice in voice_dict[key]:
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console.print(f"[green]{id_num}. {voice}[/green]")
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id_num += 1
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# console.print()
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def text_to_speech(
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text="Hello!!",
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model_name="kokoro-v0_19.pth",
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voice_name="af_bella",
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speed=1,
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pad_between_segments=0,
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remove_silence=False,
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minimum_silence=0.05,
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custom_voicepack=None,
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):
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# Call the API with provided parameters
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result = client.predict(
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text=text,
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model_name=model_name,
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voice_name=voice_name,
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speed=speed,
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pad_between_segments=pad_between_segments,
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remove_silence=remove_silence,
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minimum_silence=minimum_silence,
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custom_voicepack=custom_voicepack,
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api_name="/text_to_speech"
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)
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# Save the audio file in the specified directory
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save_at = f"{output_dir}/{os.path.basename(result)}"
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shutil.move(result, save_at)
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return save_at
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def choose_voice():
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while True:
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display_voice_names()
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user_input = console.input("[bold yellow]Choose a voice ID number or type 'exit' to quit: [/bold yellow]")
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try:
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voice_number = int(user_input)
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if voice_number in voices:
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selected_voice = voices[voice_number]
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console.print(f"[bold green]You selected: {selected_voice}[/bold green]\n")
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return selected_voice
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else:
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console.print("[bold red]Invalid number. Please choose a valid voice number.[/bold red]")
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except ValueError:
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if user_input.lower() == "exit":
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console.print("[bold red]Exiting voice selection.[/bold red]")
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return None
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else:
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console.print("[bold red]Invalid input. Please enter a valid number or 'exit'.[/bold red]")
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def play_audio(filename):
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wave_obj = sa.WaveObject.from_wave_file(filename)
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play_obj = wave_obj.play()
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play_obj.wait_done()
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# Ensure the output directory exists
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os.makedirs(output_dir, exist_ok=True)
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voice_dict = get_voice_names()
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def text_to_speech_cli():
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while True:
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voice_name = choose_voice()
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if not voice_name:
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break
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# print(
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# "Type 'C' to change voice or 'q' to quit"
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# )
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while True:
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text = console.input(
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"[bold green]Enter Text ('C' to change voice, 'q' for quit): [/bold green]"
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)
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if text.lower() == "q":
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console.print("[bold red]Exiting text-to-speech CLI.[/bold red]")
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return
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elif text.lower() == "c":
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console.print("[bold yellow]Changing voice...[/bold yellow]")
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break # Break the inner loop to select a new voice
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else:
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audio_path = text_to_speech(text=text, voice_name=voice_name)
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play_audio(audio_path)
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# console.print("[bold green]Audio played successfully![/bold green]\n")
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if __name__ == "__main__":
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console.print("[bold blue]Welcome to the Text-to-Speech CLI![/bold blue]\n")
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text_to_speech_cli()
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