app.py

import gradio as gr
import time
import random
import re

# --- Sentiment Analysis Logic (Simulating the JS Model) ---
def analyze_sentiment(text):
    """
    Simulates the sentiment analysis model (Xenova/bert-base-multilingual-uncased-sentiment)
    used in the JavaScript code.
    """
    positive_keywords = ['خوب', 'عالی', 'خوشحال', 'محشر', 'دوست', 'عشق', 'موفق', 'سالم', 'خنده', '🙂', '😊', '❤️', 'good', 'great', 'love']
    negative_keywords = ['بد', 'غمگین', 'ترس', 'تنفر', 'مرگ', 'درد', 'خسته', 'مشکل', '😔', '😢', '😡', 'bad', 'sad', 'hate']

    score = 0.5
    label = "NEUTRAL" # 3 stars

    text_lower = text.lower()
    
    # Simple keyword matching for demo purposes
    pos_count = sum(1 for word in positive_keywords if word in text_lower)
    neg_count = sum(1 for word in negative_keywords if word in text_lower)

    if pos_count > neg_count:
        label = "POSITIVE" # 5 stars
        score = random.uniform(0.7, 0.99)
    elif neg_count > pos_count:
        label = "NEGATIVE" # 1 star
        score = random.uniform(0.7, 0.99)
    else:
        score = random.uniform(0.4, 0.6)

    # Map to the star rating format used in the JS
    if label == "POSITIVE":
        star_label = "5 stars"
    elif label == "NEGATIVE":
        star_label = "1 star"
    else:
        star_label = "3 stars"

    return [{"label": star_label, "score": score}]

def generate_ai_response(text):
    """Generates a response based on sentiment, mimicking the JS logic."""
    result = analyze_sentiment(text)
    label = result[0]['label']
    score = (result[0]['score'] * 100).toFixed(1) if isinstance(result[0]['score'], float) else f"{result[0]['score']*100:.1f}"

    if label in ["5 stars", "4 stars", "POSITIVE"]:
        return f"😊 خوشحالم که حالتان خوب است! (اطمینان: {score}%)"
    elif label in ["1 star", "2 stars", "NEGATIVE"]:
        return f"😔 متاسفم که اینطور احساس می‌کنید. امیدوارم روزتان بهتر شود. (اطمینان: {score}%)"
    else:
        return f"🤔 پیام شما دریافت شد. (اطمینان: {score}%)"

# --- Application Logic ---

def handle_login(username, password):
    """Simulates PHP login logic."""
    if not username or not password:
        return gr.Warning("لطفاً نام کاربری و رمز عبور را وارد کنید."), None, gr.update(visible=True), gr.update(visible=False)
    
    # Simulate loading
    time.sleep(0.5)
    
    # In a real app, check DB here. For demo, accept any non-empty input.
    return (
        gr.Info("ورود موفقیت‌آمیز بود!"),
        {"username": username, "role": "user"}, # User State
        gr.update(visible=False), # Hide Login
        gr.update(visible=True)  # Show Chat
    )

def handle_register(full_name, email, username, password):
    """Simulates PHP registration logic."""
    if not all([full_name, email, username, password]):
        return gr.Warning("لطفاً تمام فیلدها را پر کنید.")
    
    return gr.Info("ثبت نام با موفقیت انجام شد. لطفاً وارد شوید.")

def handle_chat(message, history, user_state):
    """Handles message sending and AI response."""
    if not message:
        return history, ""
    
    # Add user message
    history.append({"role": "user", "content": message})
    
    # Simulate AI thinking time
    time.sleep(0.5)
    
    # Generate response
    response = generate_ai_response(message)
    history.append({"role": "assistant", "content": response})
    
    return history, ""

def handle_logout():
    """Resets the app to login state."""
    return (
        None, # Clear user state
        [],  # Clear history
        gr.update(visible=True),  # Show Login
        gr.update(visible=False)  # Hide Chat
    )

# --- Mock Data for Sidebar ---
def get_online_users():
    """Simulates fetching online users from database."""
    users = [
        {"name": "علی رضایی", "status": "online"},
        {"name": "سارا محمدی", "status": "online"},
        {"name": "رضا کریمی", "status": "offline"},
        {"name": "مریم حسینی", "status": "online"},
        {"name": "سیستم ادمین", "status": "online"},
    ]
    return users

# --- Custom CSS (Ported from your HTML) ---
custom_css = """
/* 
 * GLASSMORPHISM & MODERN UI STYLES
 * Adapted for Gradio Components
 */

:root {
  --glass-bg: rgba(255, 255, 255, 0.05);
  --glass-border: rgba(255, 255, 255, 0.1);
  --glass-highlight: rgba(255, 255, 255, 0.1);
  --primary-gradient: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
  --text-color: #ffffff;
  --border-radius: 16px;
}

/* Force RTL and Font */
body, .gradio-container {
    font-family: 'Vazirmatn', sans-serif !important;
    direction: rtl !important;
    text-align: right !important;
}

/* Main Background */
.gradio-container {
    background: linear-gradient(-45deg, #0f0c29, #302b63, #24243e, #4a1c40);
    background-size: 400% 400%;
    animation: gradientBG 20s ease infinite;
    color: var(--text-color);
}

@keyframes gradientBG {
    0% { background-position: 0% 50%; }
    50% { background-position: 100% 50%; }
    100% { background-position: 0% 50%; }
}

/* Login Panel Styling */
.login-panel {
    background: var(--glass-bg);
    backdrop-filter: blur(20px);
    -webkit-backdrop-filter: blur(20px);
    border: 1px solid var(--glass-border);
    border-radius: 24px;
    padding: 40px;
    box-shadow: 0 8px 32px 0 rgba(0, 0, 0, 0.3);
    max-width: 450px;
    margin: auto;
}

/* Styling Tabs */
.tabs-container {
    background: rgba(0, 0, 0, 0.2);
    padding: 6px;
    border-radius: 50px;
    display: flex;
    margin-bottom: 25px;
}

.tab-btn {
    flex: 1;
    background: transparent;
    border: none;
    color: rgba(255, 255, 255, 0.6);
    padding: 10px;
    border-radius: 50px;
    cursor: pointer;
    font-weight: 600;
    transition: all 0.3s;
}

.tab-btn.selected {
    background: var(--primary-gradient);
    color: white;
    box-shadow: 0 4px 15px rgba(118, 75, 162, 0.4);
}

/* Chat Interface Styling */
.chat-interface {
    display: flex;
    height: 80vh;
    gap: 20px;
    background: rgba(0,0,0,0.2);
    border-radius: 24px;
    border: 1px solid var(--glass-border);
    padding: 20px;
    backdrop-filter: blur(10px);
}

.chat-main {
    flex: 1;
    display: flex;
    flex-direction: column;
    gap: 15px;
}

.chat-sidebar {
    width: 250px;
    background: rgba(255, 255, 255, 0.03);
    border-radius: 16px;
    padding: 15px;
    border: 1px solid var(--glass-border);
}

/* User List Item */
.user-item {
    display: flex;
    align-items: center;
    gap: 10px;
    padding: 10px;
    border-radius: 8px;
    margin-bottom: 8px;
    background: rgba(255,255,255,0.02);
}

.user-status {
    width: 8px;
    height: 8px;
    border-radius: 50%;
    background: #555;
}

.user-status.online {
    background: #00d2d3;
    box-shadow: 0 0 8px #00d2d3;
}

/* Chatbot Bubbles Override */
.message.user {
    background: var(--primary-gradient) !important;
    align-self: flex-end !important;
    border-bottom-left-radius: 4px !important;
    border-bottom-right-radius: 16px !important;
}

.message.bot {
    background: rgba(255, 255, 255, 0.1) !important;
    align-self: flex-start !important;
    border: 1px solid rgba(255, 255, 255, 0.1) !important;
    border-bottom-left-radius: 16px !important;
    border-bottom-right-radius: 4px !important;
}

/* Input Area */
.chat-input-area {
    display: flex;
    gap: 10px;
    background: rgba(0,0,0,0.3);
    padding: 10px;
    border-radius: 16px;
    border: 1px solid var(--glass-border);
}

/* Buttons */
.primary-btn {
    background: var(--primary-gradient);
    color: white;
    border: none;
    border-radius: 12px;
    padding: 12px 24px;
    font-weight: bold;
    cursor: pointer;
    transition: transform 0.2s;
}

.primary-btn:hover {
    transform: translateY(-2px);
}

.secondary-btn {
    background: rgba(255,255,255,0.1);
    color: white;
    border: 1px solid rgba(255,255,255,0.2);
    border-radius: 12px;
    padding: 8px 16px;
    cursor: pointer;
}

/* Hide Gradio defaults we don't need */
#component-0 { /* This targets the main container wrapper often */
    padding: 20px !important;
}

footer {
    display: none !important; 
}
"""

# --- Gradio App Construction ---

with gr.Blocks(css=custom_css, title="چت روم هوشمند") as demo:
    
    # Head for Fonts and Icons
    gr.HTML("""
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
    <link href="https://fonts.googleapis.com/css2?family=Vazirmatn:wght@100;300;400;500;700;900&display=swap" rel="stylesheet">
    """)

    # Application State
    user_state = gr.State(value=None) # Stores user info
    chat_history = gr.State(value=[]) # Stores chat messages

    # --- LOGIN / REGISTER SECTION ---
    with gr.Column(elem_classes="login-panel", visible=True) as login_col:
        gr.HTML("""
        <div style="text-align: center; margin-bottom: 30px;">
            <i class="fas fa-robot" style="font-size: 3rem; background: linear-gradient(to bottom right, #fff, #a29bfe); -webkit-background-clip: text; -webkit-text-fill-color: transparent; filter: drop-shadow(0 4px 6px rgba(0, 0, 0, 0.2));"></i>
            <h1 style="font-weight: 800; font-size: 2rem; margin: 10px 0 5px;">چت روم هوشمند</h1>
            <p style="color: rgba(255, 255, 255, 0.7);">ورود به دنیای هوش مصنوعی</p>
            <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" style="font-size: 0.8rem; color: rgba(255, 255, 255, 0.5); text-decoration: none; border: 1px solid rgba(255, 255, 255, 0.1); padding: 4px 12px; border-radius: 20px; display: inline-block; margin-top: 10px;">
                Built with anycoder
            </a>
        </div>
        """)

        with gr.Tabs(elem_classes="tabs-container") as auth_tabs:
            with gr.Tab("ورود", id="login_tab"):
                with gr.Column():
                    username = gr.Textbox(label="نام کاربری", placeholder="نام کاربری خود را وارد کنید", show_label=False, container=False)
                    password = gr.Textbox(label="رمز عبور", type="password", placeholder="رمز عبور خود را وارد کنید", show_label=False, container=False)
                    login_btn = gr.Button("ورود به سیستم", variant="primary", elem_classes="primary-btn", full_width=True)
            
            with gr.Tab("ثبت نام", id="register_tab"):
                with gr.Column():
                    reg_name = gr.Textbox(label="نام کامل", placeholder="نام و نام خانوادگی", show_label=False)
                    reg_email = gr.Textbox(label="ایمیل", placeholder="example@mail.com", show_label=False)
                    reg_user = gr.Textbox(label="نام کاربری", placeholder="نام کاربری دلخواه", show_label=False)
                    reg_pass = gr.Textbox(label="رمز عبور", type="password", placeholder="رمز عبور قوی انتخاب کنید", show_label=False)
                    register_btn = gr.Button("ثبت نام", variant="primary", elem_classes="primary-btn", full_width=True)

        gr.HTML("""
        <div style="margin-top: 25px; padding-top: 25px; border-top: 1px solid rgba(255, 255, 255, 0.1); color: rgba(255, 255, 255, 0.5); font-size: 0.8rem; text-align: center;">
            <p><i class="fas fa-info-circle"></i> مدل‌های هوش مصنوعی در مرورگر اجرا می‌شوند</p>
        </div>
        """)

    # --- CHAT INTERFACE SECTION ---
    with gr.Column(elem_classes="chat-interface", visible=False) as chat_col:
        
        # Sidebar: Users & Info
        with gr.Column(elem_classes="chat-sidebar"):
            gr.Markdown("## 👥 کاربران آنلاین")
            
            # Room Selector (Simulating PHP room logic)
            room_select = gr.Dropdown(
                choices=["اتاق عمومی", "گفتگوی آزاد", "پشتیبانی فنی"],
                value="اتاق عمومی",
                label="اتاق گفتگو",
                interactive=True
            )

            # User List (Dynamic HTML)
            users_list_html = gr.HTML(value="")
            
            gr.HTML("<hr style='border-color: rgba(255,255,255,0.1); margin: 15px 0;'>")
            
            logout_btn = gr.Button("خروج از سیستم", elem_classes="secondary-btn", full_width=True, icon="fa-power-off")

        # Main Chat Area
        with gr.Column(elem_classes="chat-main"):
            # Header
            with gr.Row():
                gr.HTML("""
                <div style="display: flex; align-items: center; gap: 10px; color: white;">
                    <i class="fas fa-brain" style="font-size: 1.5rem; color: #a29bfe;"></i>
                    <div>
                        <h3 style="font-size: 1.1rem; margin:0;">دستیار هوشمند</h3>
                        <span style="font-size: 0.75rem; color: #00d2d3;">آماده</span>
                    </div>
                </div>
                """)
            
            # Chatbot
            chatbot = gr.Chatbot(
                label=None, 
                show_label=False,
                bubble_full_width=False,
                height="auto",
                elem_id="chatbot-area"
            )
            
            # Input Area
            with gr.Row(elem_classes="chat-input-area"):
                msg_input = gr.Textbox(
                    placeholder="پیام خود را بنویسید...",
                    show_label=False,
                    scale=4,
                    container=False,
                    autofocus=True
                )
                send_btn = gr.Button("ارسال", variant="primary", scale=1, elem_classes="primary-btn", icon="fa-paper-plane")

    # --- Event Listeners ---

    # 1. Login Logic
    login_btn.click(
        fn=handle_login,
        inputs=[username, password],
        outputs=[gr.Textbox(visible=False), user_state, login_col, chat_col] # Using dummy Textbox for toast output
    )

    # 2. Register Logic
    register_btn.click(
        fn=handle_register,
        inputs=[reg_name, reg_email, reg_user, reg_pass],
        outputs=[gr.Textbox(visible=False)]
    )

    # 3. Chat Logic
    submit_event = msg_input.submit(
        fn=handle_chat,
        inputs=[msg_input, chat_history, user_state],
        outputs=[chatbot, msg_input]
    )
    
    send_btn.click(
        fn=handle_chat,
        inputs=[msg_input, chat_history, user_state],
        outputs=[chatbot, msg_input]
    )

    # 4. Logout Logic
    logout_btn.click(
        fn=handle_logout,
        inputs=[],
        outputs=[user_state, chat_history, login_col, chat_col]
    )

    # 5. Update User List (Simulated)
    def update_users():
        users = get_online_users()
        html = ""
        for u in users:
            status_color = "#00d2d3" if u['status'] == 'online' else "#555"
            status_text = "آنلاین" if u['status'] == 'online' else "آفلاین"
            html += f"""
            <div class="user-item">
                <div class="user-status {u['status']}"></div>
                <div style="flex:1">
                    <div style="font-size: 0.9rem;">{u['name']}</div>
                    <div style="font-size: 0.7rem; color: rgba(255,255,255,0.5);">{status_text}</div>
                </div>
            </div>
            """
        return html

    # Load users on startup and periodically (simulated via render trigger or just once)
    demo.load(update_users, outputs=users_list_html)

# --- Launch Configuration ---
demo.launch(
    theme=gr.themes.Soft(
        primary_hue="indigo",
        secondary_hue="purple",
        neutral_hue="slate",
        font=gr.themes.GoogleFont("Vazirmatn"),
        text_size="lg",
        spacing_size="lg",
        radius_size="md"
    ).set(
        body_background_fill="transparent", # Let our CSS handle the background
        block_background_fill="transparent",
        block_border_width="0px",
        button_primary_background_fill="*primary_600",
        button_primary_background_fill_hover="*primary_700",
        block_title_text_weight="600",
        input_background_fill="rgba(0,0,0,0.2)",
        input_background_fill_dark="rgba(0,0,0,0.2)",
        input_border_color="rgba(255,255,255,0.1)",
        input_border_color_dark="rgba(255,255,255,0.1)",
        input_radius="lg",
    ),
    footer_links=[{"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"}]
)