import gradio as gr
from transformers import AutoProcessor, BarkModel
import torch
import scipy

# Limit CPU usage
torch.set_num_threads(1)

# Load the Bark model and processor
processor = AutoProcessor.from_pretrained("suno/bark-small")
model = BarkModel.from_pretrained("suno/bark-small")

# Function to generate speech
def generate_speech(text, voice_preset):
    # Process the input text with the selected voice preset
    inputs = processor(text, voice_preset=voice_preset)
    
    # Generate audio and convert to float32 early to optimize memory usage
    with torch.no_grad():  # Disable gradient calculations for faster inference
        audio_array = model.generate(**inputs)
    audio_array = audio_array.cpu().numpy().astype('float32').squeeze()  # Converting early
    
    # Return the audio with sample rate for Gradio's audio component
    return (model.generation_config.sample_rate, audio_array)

# Gradio app setup
with gr.Blocks() as app:
    gr.Markdown("# Turkish Text-to-Speech with Bark")
    gr.Markdown("Enter text, select a Turkish voice preset, and click 'Generate Voice' to play the generated audio.")

    # Input text box for user to type text
    text_input = gr.Textbox(label="Enter Text in Turkish", placeholder="Merhaba, bugün bir yerlere gidelim mi?")
    
    # Dropdown for selecting voice preset
    voice_preset_input = gr.Dropdown(
        ["v2/tr_speaker_0", "v2/tr_speaker_1", "v2/tr_speaker_2", "v2/tr_speaker_3", 
         "v2/tr_speaker_4", "v2/tr_speaker_5", "v2/tr_speaker_6", 
         "v2/tr_speaker_7", "v2/tr_speaker_8", "v2/tr_speaker_9"],
        label="Select Turkish Voice Preset"
    )
    
    # Audio output component for playing generated audio
    audio_output = gr.Audio(label="Generated Voice", type="numpy")
    
    # Button to trigger the generation
    generate_button = gr.Button("Generate Voice")
    
    # When the button is clicked, call the generate_speech function
    generate_button.click(generate_speech, inputs=[text_input, voice_preset_input], outputs=audio_output)

# Launch the Gradio app
app.launch()