Delete api.py

api.py

@@ -1,77 +0,0 @@
-# It is helpful if you want to use it in a voice assistant project.
-# Know more about {your gradio app url}/?view=api. Example: http://127.0.0.1:7860/?view=api
-import shutil
-import os
-from gradio_client import Client
-
-# Ensure the output directory exists
-output_dir = "api_output"
-os.makedirs(output_dir, exist_ok=True)
-
-# Initialize the Gradio client
-api_url = "http://127.0.0.1:7860/"
-client = Client(api_url)
-
-
-
-
-def text_to_speech(
-    text="Hello!!",
-    model_name="kokoro-v0_19.pth",
-    voice_name="af_bella",
-    speed=1,
-    pad_between_segments=0,
-    remove_silence=False,
-    minimum_silence=0.05,
-    custom_voicepack=None,
-):
-    """
-    Generates speech from text using a specified model and saves the audio file.
-
-    Parameters:
-        text (str): The text to convert to speech.
-        model_name (str): The name of the model to use for synthesis.
-        voice_name (str): The name of the voice to use.
-        speed (float): The speed of speech.
-        pad_between_segments (int): Padding between audio segments.
-        remove_silence (bool): Whether to remove silence from the audio.
-        minimum_silence (float): Minimum silence duration to consider.
-        custom_voicepack (str): Path to the custom voice pack to use.
-    Returns:
-        str: Path to the saved audio file.
-    """
-    # Call the API with provided parameters
-    result = client.predict(
-        text=text,
-        model_name=model_name,
-        voice_name=voice_name,
-        speed=speed,
-        pad_between_segments=pad_between_segments,
-        remove_silence=remove_silence,
-        minimum_silence=minimum_silence,
-        custom_voicepack=custom_voicepack,
-        api_name="/text_to_speech"
-    )
-    # Save the audio file in the specified directory
-    save_at = f"{output_dir}/{os.path.basename(result)}"
-    shutil.move(result, save_at)
-    print(f"Saved at {save_at}")
-
-    return save_at
-
-# Example usage
-if __name__ == "__main__":
-    text="This is Kokoro TTS. I am a text-to-speech model and Super Fast."
-    model_name="kokoro-v0_19.pth" #kokoro-v0_19-half.pth
-    voice_name="af_bella" #get voice names 
-    speed=1
-    add_silence_between_segments=0 #it use in large text
-    remove_silence=False
-    keep_silence_upto=0.05 #in seconds
-    custom_voicepack=None
-    audio_path = text_to_speech(text=text, model_name=model_name, 
-                                voice_name=voice_name, speed=speed, 
-                                pad_between_segments=add_silence_between_segments,
-                                remove_silence=remove_silence,
-                                minimum_silence=keep_silence_upto)
-    print(f"Audio file saved at: {audio_path}")