import gradio as gr
import random


# Lists of Uyghur short and long texts
short_texts = [
    "سالام", "رەھمەت", "ياخشىمۇسىز"
]
long_texts = [
    "مەكتەپكە بارغاندا تېخىمۇ بىلىملىك بولۇپ قېلىمەن.",
    "يېزا مەنزىرىسى ھەقىقەتەن گۈزەل.",
    "پېقىرلارغا ياردەم قىلىش مەنەم پەرزەندە."
]

# Functions
def generate_text(type, script_choice):
    """Generate a random Uyghur short or long text based on type."""
    from umsc import UgMultiScriptConverter
    ug_arab_to_latn = UgMultiScriptConverter('UAS', 'ULS')
    if type == "short":
        if script_choice == "Uyghur Arabic":
            return random.choice(short_texts)
        else: 
            return ug_arab_to_latn(random.choice(short_texts))
    elif type == "long":
        if script_choice == "Uyghur Arabic":
            return random.choice(long_texts)
        else: 
            return ug_arab_to_latn(random.choice(long_texts))

def generate_example_pronunciation(input_text, script):
    # Placeholder for generating example pronunciation
    example_audio = None  # Replace with actual example audio generation logic
    return example_audio

def check_pronunciation(input_text, script, user_audio):
    # Placeholder logic for pronunciation checking
    transcript_ugArab_box = "Automatic transcription of your audio (Arabic)..."
    transcript_ugLatn_box = "Automatic transcription of your audio (Latin)..."
    correct_pronunciation = "Correct pronunciation in IPA"
    user_pronunciation = "User pronunciation in IPA"
    pronunciation_match = "Matching segments in green, mismatched in red"
    pronunciation_score = 85.7  # Replace with actual score calculation
    return transcript_ugArab_box, transcript_ugLatn_box, correct_pronunciation, user_pronunciation, pronunciation_match, pronunciation_score

with gr.Blocks() as app:
    with gr.Row():
        # Input Column
        with gr.Column(scale=1):
            with gr.Row():
                script_choice = gr.Dropdown(
                    choices=["Uyghur Arabic", "Uyghur Latin"],
                    label="1. Select Input Script",
                    value="Uyghur Arabic",
                    interactive=True
                )
            with gr.Row():
                input_text = gr.Textbox(
                    label="2. Input Uyghur Text to Pronounce or Generate Text with Buttons below",
                    placeholder="Enter Uyghur text here...",
                )
            # Add buttons for generating short and long texts
            with gr.Row():
                generate_short_btn = gr.Button("Generate Short Text")
                generate_long_btn = gr.Button("Generate Long Text")
            with gr.Row():
                example_audio = gr.Audio(label="3. Click \"Generate Example Pronunciation\"")
            with gr.Row():
                tts_btn = gr.Button("Generate Example Pronunciation")
            with gr.Row():
                user_audio = gr.Audio(
                    label="4. Record/Upload Your Pronunciation",
                    sources=["microphone", "upload"],
                    type="filepath",
                )
            with gr.Row():
                check_btn = gr.Button("Check My Pronunciation")
        
        # Output Column
        with gr.Column(scale=1):
            # Group transcripts together
            with gr.Group():
                with gr.Row():
                    transcript_ugArab_box = gr.Textbox(
                        label="Transcript (Uyghur Arabic)",
                        placeholder="ASR transcription of your audio..."
                    )
                with gr.Row():
                    transcript_ugLatn_box = gr.Textbox(
                        label="Transcript (Uyghur Latin)",
                        placeholder="ASR transcription of your audio..."
                    )
            
            # Group correct and user pronunciation
            with gr.Group():
                with gr.Row():
                    correct_pronunciation_box = gr.Textbox(
                        label="Correct Pronunciation",
                        placeholder="IPA representation of the correct pronunciation..."
                    )
                with gr.Row():
                    user_pronunciation_box = gr.Textbox(
                        label="User Pronunciation",
                        placeholder="IPA representation of your pronunciation..."
                    )

            with gr.Group():
                with gr.Row():
                    match_box = gr.Textbox(
                        label="Phonetic Match",
                        placeholder="Matching and mismatched characters visualized here..."
                    )
                with gr.Row():
                    score_box = gr.Textbox(
                        label="Phonetic Score",
                        placeholder="Your pronunciation score as a percentage..."
                    )

    # Bind functions to buttons
    generate_short_btn.click(
        generate_text,
        inputs=["short", script_choice],
        outputs=input_text
    )
    
    generate_long_btn.click(
        generate_text,
        inputs=["long", script_choice],
        outputs=input_text
    )
    
    tts_btn.click(
        generate_example_pronunciation,
        inputs=[input_text, script_choice],
        outputs=[example_audio]
    )

    check_btn.click(
        check_pronunciation,
        inputs=[input_text, script_choice, user_audio],
        outputs=[transcript_ugArab_box, transcript_ugLatn_box, correct_pronunciation_box, user_pronunciation_box, match_box, score_box]
    )

if __name__ == "__main__":
    app.launch()