app.py

import gradio as gr
import requests
import json
import os
from pathlib import Path
import uuid

# gr.NO_RELOAD = False
# API Base URL
BASE_URL = os.environ.get("BASE_URL", "")

# Counter persistence file
COUNTER_FILE = Path("generation_counter.json")

# Example texts
EXAMPLE_TEXT_ENGLISH = "Welcome to Ringg TTS! This is a text to speech system that can convert your text into natural-sounding audio. Try it out with your own content!"

EXAMPLE_TEXT_HINDI = "नमस्ते! मैं रिंग टीटीएस हूँ। मैं आपके टेक्स्ट को प्राकृतिक आवाज़ में बदल सकता हूँ। कृपया अपना टेक्स्ट यहाँ लिखें और सुनें।"

EXAMPLE_TEXT_MIXED = "Hello दोस्तों! Welcome to Ringg TTS. यह एक बहुत ही शानदार text to speech system है जो Hindi और English दोनों languages को support करता है।"


def load_counter():
    """Load generation counter from file"""
    try:
        if COUNTER_FILE.exists():
            with open(COUNTER_FILE, "r") as f:
                data = json.load(f)
                return data.get("count", 0)
    except Exception as e:
        print(f"Error loading counter: {e}")
    return 0


def save_counter(count):
    """Save generation counter to file"""
    try:
        with open(COUNTER_FILE, "w") as f:
            json.dump({"count": count}, f)
    except Exception as e:
        print(f"Error saving counter: {e}")


def get_voices():
    """Fetch available voices from API"""
    try:
        response = requests.get(f"{BASE_URL}/voices", timeout=10)
        if response.status_code == 200:
            voices_data = response.json().get("voices", {})
            # Create a list of tuples (display_name, voice_id)
            voices = []
            for voice_id, voice_info in voices_data.items():
                name = voice_info.get("name", "Unknown")
                gender = voice_info.get("gender", "N/A")
                display_name = f"{name} ({gender})"
                voices.append((display_name, voice_id))
            return sorted(voices, key=lambda x: x[0])
        return []
    except Exception as e:
        print(f"Error fetching voices: {e}")
        return []


def synthesize_speech(text, voice_id):
    """Synthesize speech from text"""
    if not text or not text.strip():
        return None, "⚠️ Please enter some text", "", "", "", "", "", ""

    if not voice_id:
        return None, "⚠️ Please select a voice", "", "", "", "", "", ""

    # Print input text length
    text_length = len(text)
    print(f"Input text length: {text_length} characters")

    try:
        payload = {"text": text, "voice_id": voice_id}

        response = requests.post(
            f"{BASE_URL}/synthesize",
            headers={"Content-Type": "application/json"},
            json=payload,
            timeout=30,
        )

        if response.status_code == 200:
            result = response.json()

            if result.get("success"):
                audio_url = result.get("audio_url", "")
                metrics = result.get("metrics", {})

                # Format metrics
                total_time = f"{metrics.get('t', 0):.3f}s"
                rtf = f"{metrics.get('rtf', 0):.4f}"
                wav_duration = f"{metrics.get('wav_seconds', 0):.2f}s"
                vocoder_time = f"{metrics.get('t_vocoder', 0):.3f}s"
                no_vocoder_time = f"{metrics.get('t_no_vocoder', 0):.3f}s"
                rtf_no_vocoder = f"{metrics.get('rtf_no_vocoder', 0):.4f}"

                status_msg = "✅ Audio generated successfully!"

                return (
                    audio_url,
                    status_msg,
                    total_time,
                    rtf,
                    wav_duration,
                    vocoder_time,
                    no_vocoder_time,
                    rtf_no_vocoder,
                )
            else:
                error_msg = result.get("message", "Unknown error")
                return None, f"❌ Synthesis failed: {error_msg}", "", "", "", "", "", ""
        else:
            return (
                None,
                f"❌ API returned status code: {response.status_code}",
                "",
                "",
                "",
                "",
                "",
                "",
            )

    except Exception as e:
        return None, f"❌ Error: {str(e)}", "", "", "", "", "", ""


# Load initial counter value
initial_counter = load_counter()

# Create Gradio interface
with gr.Blocks(
    theme=gr.themes.Base(
        font=[gr.themes.GoogleFont("Source Sans Pro"), "Arial", "sans-serif"]
    ),
    css=".gradio-container {max-width: none !important;}",
) as demo:
    # Title with Health Status

    with gr.Row():
        with gr.Column(scale=4):
            audio_image = gr.HTML(
                value="""
                <div style="display: flex; align-items: center; gap: 10px;">
                    <img style="width: 50px; height: 50px; background-color: white; border-radius: 10%;" src="https://storage.googleapis.com/desivocal-prod/desi-vocal/ringg.svg" alt="Logo">
                    <h1 style="margin: 0;">Ringg Squirrel TTS v1.0 🐿️</h1>
                </div>
                """
            )
        with gr.Column(scale=1):
            generation_counter = gr.Markdown(
                f"**Generations:** {initial_counter}", elem_id="counter"
            )

    # Best Practices Section
    gr.Markdown("""
    ### 📝 Best Practices for Best Results
    - **Supported Languages:** Hindi and English only
    - **Check spelling carefully:** Misspelled words may be mispronounced
    - **Punctuation matters:** Use proper punctuation for natural pauses and intonation
    - **Technical terms:** Extremely rare or specialized technical terms might be mispronounced
    - **Numbers & dates:** Write numbers as words for better pronunciation (e.g., "twenty-five" instead of "25")
    """)

    # Text Input
    text_input = gr.Textbox(
        label="Text (max 500 characters)",
        placeholder="Type or paste your text here (max 500 characters)...",
        lines=6,
        max_lines=10,
        max_length=500,
    )

    # Character count display
    char_count = gr.Markdown("**Character count:** 0 / 500")

    with gr.Row():
        with gr.Column(scale=1):
            # Voice Selection
            voices = get_voices()
            voice_choices = {display: vid for display, vid in voices}

            voice_dropdown = gr.Dropdown(
                choices=list(voice_choices.keys()),
                label="Choose a voice style",
                info=f"{len(voices)} voices available",
                value=list(voice_choices.keys())[0] if voices else None,
            )

        with gr.Column(scale=1):
            audio_output = gr.Audio(label="Listen to your audio", type="filepath")
            metrics_header = gr.Markdown("### 📊 Generation Metrics", visible=False)
            metrics_output = gr.Code(
                label="Metrics", language="json", interactive=False, visible=False
            )

    generate_btn = gr.Button("🎬 Generate Speech", variant="primary", size="lg")

    gr.Markdown("#### 🎯 Try these examples:")
    with gr.Row():
        example_btn1 = gr.Button("English Example", size="sm")
        example_btn2 = gr.Button("Hindi Example", size="sm")
        example_btn3 = gr.Button("Mixed Example", size="sm")

    # Footer
    gr.Markdown("---")
    gr.Markdown("# 🙏 Acknowledgements")
    # gr.Markdown("- Based on [ZipVoice](https://github.com/k2-fsa/ZipVoice)")
    gr.Markdown(
        "- Special thanks to [@jeremylee12](https://huggingface.co/jeremylee12) for his contributions"
    )

    # State variable for generation counter
    gen_count_state = gr.State(value=initial_counter)

    # Event Handlers
    def update_char_count(text):
        """Update character count as user types"""
        count = len(text) if text else 0
        return f"**Character count:** {count} / 500"

    def load_example_text(example_text):
        """Load example text and update character count"""
        count = len(example_text)
        return example_text, f"**Character count:** {count} / 500"

    def clear_text():
        """Clear text input"""
        return "", "**Character count:** 0 / 500"

    def on_generate(text, voice_display, gen_count):
        voice_id = voice_choices.get(voice_display)
        audio_url, _status, t_time, rtf, wav_dur, voc_time, no_voc_time, rtf_no_voc = (
            synthesize_speech(text, voice_id)
        )

        # Download audio if URL is available
        audio_file = None
        if audio_url:
            try:
                audio_response = requests.get(audio_url, timeout=30)
                if audio_response.status_code == 200:
                    # Save to temporary file
                    audio_file = f"/tmp/ringg_{str(uuid.uuid4())}.wav"
                    with open(audio_file, "wb") as f:
                        f.write(audio_response.content)
                    # Increment counter only on successful generation
                    gen_count += 1
                    # Save counter to file for persistence
                    save_counter(gen_count)
            except Exception as e:
                _status = f"⚠️ Audio generated but download failed: {str(e)}"

        # Format metrics as JSON string (only if available)
        has_metrics = any([t_time, rtf, wav_dur, voc_time, no_voc_time, rtf_no_voc])
        metrics_json = ""
        if has_metrics:
            metrics_json = json.dumps(
                {
                    "total_time": t_time,
                    "rtf": rtf,
                    "audio_duration": wav_dur,
                    "vocoder_time": voc_time,
                    "no_vocoder_time": no_voc_time,
                    "rtf_no_vocoder": rtf_no_voc,
                },
                indent=2,
            )

        return (
            audio_file,
            gr.update(visible=has_metrics),
            gr.update(value=metrics_json, visible=has_metrics),
            gen_count,
            f"**Generations:** {gen_count}",
        )

    # Update character count on text input change
    text_input.change(fn=update_char_count, inputs=[text_input], outputs=[char_count])

    # Example button clicks
    example_btn1.click(
        fn=lambda: load_example_text(EXAMPLE_TEXT_ENGLISH),
        inputs=None,
        outputs=[text_input, char_count],
    )

    example_btn2.click(
        fn=lambda: load_example_text(EXAMPLE_TEXT_HINDI),
        inputs=None,
        outputs=[text_input, char_count],
    )

    example_btn3.click(
        fn=lambda: load_example_text(EXAMPLE_TEXT_MIXED),
        inputs=None,
        outputs=[text_input, char_count],
    )

    generate_btn.click(
        fn=on_generate,
        inputs=[text_input, voice_dropdown, gen_count_state],
        outputs=[
            audio_output,
            # status_output,
            metrics_header,
            metrics_output,
            gen_count_state,
            generation_counter,
        ],
    )

    # Refresh health status on load
    demo.load()

if __name__ == "__main__":
    demo.queue(max_size=5)
    demo.launch(share=False, server_name="0.0.0.0", server_port=7860, debug=True)