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import gradio as gr
from gtts import gTTS
from io import BytesIO

def text_to_speech(text, language="en"):
    """
    Convert text to speech using gTTS and return the audio file.
    """
    try:
        if not text.strip():
            return "Error: Please enter valid text.", None

        # Generate the speech using gTTS
        tts = gTTS(text=text, lang=language)
        audio_file = BytesIO()
        tts.write_to_fp(audio_file)
        audio_file.seek(0)
        return "Text-to-Speech conversion successful!", audio_file
    except Exception as e:
        return f"Error: {str(e)}", None

# HTML content with animations, styling, and JavaScript
html_content = """
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>AI Text-to-Speech Web App</title>

    <!-- AOS (Animate On Scroll) for animations -->
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/aos@2.3.4/dist/aos.css">

    <!-- Lottie for professional animations -->
    <script src="https://cdnjs.cloudflare.com/ajax/libs/bodymovin/5.7.6/lottie.min.js"></script>

    <!-- SweetAlert2 for custom pop-ups -->
    <script src="https://cdn.jsdelivr.net/npm/sweetalert2@11"></script>

    <!-- Custom CSS for styling -->
    <style>
        body {
            font-family: 'Arial', sans-serif;
            background-color: #f4f7fc;
            color: #333;
            margin: 0;
            padding: 0;
            display: flex;
            justify-content: center;
            align-items: center;
            height: 100vh;
            flex-direction: column;
        }

        h1 {
            color: #4CAF50;
            font-size: 36px;
            margin-bottom: 20px;
        }

        .app-container {
            width: 90%;
            max-width: 600px;
            background-color: #fff;
            padding: 20px;
            border-radius: 10px;
            box-shadow: 0 4px 20px rgba(0, 0, 0, 0.1);
            text-align: center;
            transition: all 0.3s ease;
        }

        .app-container:hover {
            box-shadow: 0 8px 30px rgba(0, 0, 0, 0.2);
            transform: scale(1.02);
        }

        .input-field,
        .select-lang,
        .btn {
            width: 100%;
            padding: 15px;
            margin: 10px 0;
            font-size: 16px;
            border-radius: 5px;
            border: 1px solid #ddd;
        }

        .btn {
            background-color: #4CAF50;
            color: white;
            border: none;
            cursor: pointer;
            font-weight: bold;
        }

        .btn:hover {
            background-color: #45a049;
        }

        .status-message {
            margin-top: 20px;
            font-size: 18px;
            color: #555;
        }

        #audio-player {
            margin-top: 20px;
            display: none;
        }

        .animation-container {
            width: 300px;
            height: 300px;
            margin: 0 auto;
        }
    </style>
</head>
<body>

    <!-- Lottie Animation -->
    <div class="animation-container" data-aos="fade-up">
        <div id="lottie-animation"></div>
    </div>

    <h1>AI Text-to-Speech Web App</h1>

    <div class="app-container" data-aos="zoom-in">
        <input type="text" id="input-text" class="input-field" placeholder="Type your text here..." />
        <select id="language-selector" class="select-lang">
            <option value="en">English</option>
            <option value="es">Spanish</option>
            <option value="fr">French</option>
            <option value="de">German</option>
        </select>
        <button class="btn" onclick="convertTextToSpeech()">Convert to Speech</button>

        <div class="status-message" id="status"></div>
        <audio id="audio-player" controls></audio>
    </div>

    <!-- AOS Library -->
    <script src="https://cdn.jsdelivr.net/npm/aos@2.3.4/dist/aos.js"></script>

    <script>
        // Initialize AOS library
        AOS.init();

        // Lottie animation for a professional look
        var animation = lottie.loadAnimation({
            container: document.getElementById('lottie-animation'),
            renderer: 'svg',
            loop: true,
            autoplay: true,
            path: 'https://assets1.lottiefiles.com/packages/lf20_LZkcjJ.json' // You can change this to your preferred animation URL
        });

        function convertTextToSpeech() {
            let text = document.getElementById("input-text").value;
            let language = document.getElementById("language-selector").value;
            let statusDiv = document.getElementById("status");
            let audioPlayer = document.getElementById("audio-player");

            if (!text.trim()) {
                statusDiv.innerHTML = "Please enter some text!";
                return;
            }

            // Show loading status
            statusDiv.innerHTML = "Converting... Please wait.";
            
            // Call the backend to get the audio file (we simulate it here)
            fetch('/convert', {
                method: 'POST',
                body: JSON.stringify({ text: text, language: language }),
                headers: { 'Content-Type': 'application/json' }
            })
            .then(response => response.blob())
            .then(blob => {
                audioPlayer.src = URL.createObjectURL(blob);
                audioPlayer.style.display = "block";

                // Show success popup using SweetAlert2
                Swal.fire({
                    icon: 'success',
                    title: 'Conversion Successful!',
                    text: 'Your text has been converted to speech.',
                });
            })
            .catch(error => {
                statusDiv.innerHTML = "Error: Could not convert text to speech.";
            });
        }
    </script>
</body>
</html>
"""

# Gradio interface setup for integrating frontend
def gradio_interface():
    return gr.HTML(html_content)

interface = gr.Interface(fn=text_to_speech, inputs=[gr.Textbox(), gr.Dropdown()], outputs=[gr.Textbox(), gr.Audio()])
interface.launch()