Update app.py from anycoder

app.py

@@ -0,0 +1,492 @@
+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"}]
+)