Create scripts/api.py

scripts/api.py

@@ -0,0 +1,77 @@
+# 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}")