before redesign of the GUI

core/clean_glossary.py

@@ -4,59 +4,93 @@ from database.connection import get_connection
 
 class GlossaryCleaner:
     def __init__(self):
-        # Captures trailing markers: " m", " f", " m, pl", " f, pl", " pl"
-        self.gender_pattern = re.compile(r'\s+\b(m|f|m,\s*pl|f,\s*pl|pl)\b\s*$')
         # Captures verb irregular brackets: " (zc)", " (ie)", etc.
         self.verb_pattern = re.compile(r'\s*\(([a-z\s]+)\)')
         
-    def extract_metadata(self, text: str) -> tuple[str, str, str]:
+        # Aggressive character-level match for broken trailing gender tags
-        """
+        # Tracks variations like: " m", " f", "mpl", "fpl", "smpl", "osmpl" at the end of a string
-        Parses text to isolate the clean conversational string, 
+        self.broken_gender_pattern = re.compile(r'[\s]*\b(m|f|pl)\b$|[\s\w]*(m|f|pl|mpl|fpl|smpl|osmpl)$', re.IGNORECASE)
-        the word classification type, and specific grammatical notes.
+
-        """
+    def clean_and_expand_spanish(self, text: str) -> tuple[list[str], str, str]:
+        """Parses and strips layout noise from Spanish strings, extracting rich metadata."""
         word_type = "phrase"
         grammar_note = None
         clean_text = text.strip()
 
-        # Check for verb present-tense irregular markers
+        # 1. Extract verb irregularities if present
         verb_match = self.verb_pattern.search(clean_text)
         if verb_match:
             word_type = "verb"
-            grammar_note = verb_match.group(1) # e.g., 'zc', 'ie'
+            grammar_note = verb_match.group(1).strip()
             clean_text = self.verb_pattern.sub('', clean_text).strip()
-            return clean_text, word_type, grammar_note
 
-        # Check for noun gender indicators
+        # 2. Extract and remove sticky gender notations (e.g., "bañ osmpl" -> "baños")
-        gender_match = self.gender_pattern.search(clean_text)
+        # Check if text ends with common markers
-        if gender_match:
+        lower_text = clean_text.lower()
+        if lower_text.endswith(('mpl', 'fpl', 'smpl', 'osmpl')):
             word_type = "noun"
-            grammar_note = gender_match.group(1).strip() # e.g., 'm', 'f'
+            if 'f' in lower_text:
-            clean_text = self.gender_pattern.sub('', clean_text).strip()
+                grammar_note = "f, pl"
-            return clean_text, word_type, grammar_note
+            else:
+                grammar_note = "m, pl"
             
-        # If it's a single word without tags, check if it's likely an adjective/noun split
+            # Reconstruct the original word base before the layout break
-        if ' ' not in clean_text and '/' in clean_text:
+            # e.g., "bañ osmpl" -> remove "osmpl" and append "os" to restore "baños"
+            if lower_text.endswith('osmpl') and clean_text.lower().endswith('osmpl'):
+                clean_text = clean_text[:-5] + "os"
+            else:
+                # General strip of trailing garbage characters
+                clean_text = re.sub(r'\s*[a-zA-Z\s]*$', '', clean_text)
+        
+        # Standard boundary check for clean tags (e.g., "años60 m")
+        elif re.search(r'\s+\b(m|f|pl|m,\s*pl|f,\s*pl)\b\s*$', clean_text):
+            word_type = "noun"
+            match = re.search(r'\b(m|f|pl|m,\s*pl|f,\s*pl)\b\s*$', clean_text)
+            if match:
+                grammar_note = match.group(1).strip()
+            clean_text = re.sub(r'\s+\b(m|f|pl|m,\s*pl|f,\s*pl)\b\s*$', '', clean_text).strip()
+
+        clean_text = clean_text.strip()
+
+        # 3. Expand dual-gender adjectives (e.g., "apasionado/a")
+        variants = []
+        if '/' in clean_text and ' ' not in clean_text:
             word_type = "adjective"
+            base, suffix = clean_text.split('/', 1)
+            base = base.strip()
+            suffix = suffix.strip()
             
-        return clean_text, word_type, grammar_note
+            if suffix == 'a' and base.endswith('o'):
+                variants.append((base, word_type, "m"))
+                variants.append((base[:-1] + 'a', word_type, "f"))
+            elif suffix == 'ra' and base.endswith('r'):
+                variants.append((base, word_type, "m"))
+                variants.append((base + 'a', word_type, "f"))
+            else:
+                variants.append((clean_text, word_type, grammar_note))
+        else:
+            variants.append((clean_text, word_type, grammar_note))
 
-    def ensure_columns_exist(self, cursor):
+        return variants
-        """Dynamically appends schema metadata columns to phrases table if missing."""
+
-        try:
+    def clean_english_text(self, text: str) -> str:
-            cursor.execute("ALTER TABLE phrases ADD COLUMN word_type TEXT")
+        """Fixes layout spacing issues on English infinitive verbs."""
-            cursor.execute("ALTER TABLE phrases ADD COLUMN grammar_note TEXT")
+        cleaned = text.strip()
-        except Exception:
+        # Ensure duplicate internal spacing is compressed
-            # Columns already exist, skip safe alert safely
+        cleaned = re.sub(r'\s+', ' ', cleaned)
-            pass
+        
+        # Intercept smashed English infinitives (e.g., "toappear" -> "to appear")
+        if cleaned.startswith("to") and len(cleaned) > 2 and not cleaned.startswith("to "):
+            cleaned = re.sub(r'^to([a-z])', r'to \1', cleaned)
+            
+        return cleaned
 
     def process_database_clean(self):
+        """Processes and normalizes raw table entries into pristine structures."""
         conn = get_connection()
         cursor = conn.cursor()
         
-        # Ensure our rich metadata slots exist in SQLite
+        print("🧹 Extracting raw dataset for deep metadata extraction...")
-        self.ensure_columns_exist(cursor)
-        
-        print("🧹 Extracting raw glossary dataset for metadata preservation...")
         
         cursor.execute("""
             SELECT t.source_phrase_id, p1.text as es_text, p2.text as en_text, 
@@ -73,9 +107,9 @@ class GlossaryCleaner:
             conn.close()
             return
 
-        print(f"⚙️ Migrating {len(raw_rows)} rows into a structured format...")
+        print(f"⚙️ Migrating {len(raw_rows)} rows into corrected schemas...")
         
-        # Clear out current tables to run a fresh, structured reload
+        # Clear out previous passes completely
         cursor.execute("DELETE FROM translations")
         cursor.execute("DELETE FROM phrases")
         cursor.execute("DELETE FROM audio_tracks")
@@ -83,44 +117,28 @@ class GlossaryCleaner:
         inserted_count = 0
         
         for _, es_raw, en_raw, textbook, unit, context in raw_rows:
-            # Isolate text from technical indicators
+            # Process Spanish layout text elements
-            clean_es, word_type, grammar_note = self.extract_metadata(es_raw)
+            es_variants = self.clean_and_expand_spanish(es_raw)
+            # Process and restore spaces to English text elements
+            en_clean = self.clean_english_text(en_raw)
             
-            # Handle dual-gender expansions like "apasionado/a"
+            for es_clean, w_type, g_note in es_variants:
-            variants = []
-            if '/' in clean_es:
-                base, suffix = clean_es.split('/', 1)
-                base = base.strip()
-                suffix = suffix.strip()
-                
-                if suffix == 'a' and base.endswith('o'):
-                    variants.append((base, "adjective", "m"))
-                    variants.append((base[:-1] + 'a', "adjective", "f"))
-                elif suffix == 'ra' and base.endswith('r'):
-                    variants.append((base, "adjective", "m"))
-                    variants.append((base + 'a', "adjective", "f"))
-                else:
-                    variants.append((clean_es, word_type, grammar_note))
-            else:
-                variants.append((clean_es, word_type, grammar_note))
-
-            for es_variant, w_type, g_note in variants:
                 try:
-                    # 1. Insert Spanish entry with structural metadata columns filled
+                    # Insert pristine Spanish entry
                     cursor.execute("""
                         INSERT INTO phrases (text, language, textbook, unit, source_context, word_type, grammar_note)
                         VALUES (?, 'es', ?, ?, ?, ?, ?)
-                    """, (es_variant, textbook, unit, context, w_type, g_note))
+                    """, (es_clean, textbook, unit, context, w_type, g_note))
                     es_id = cursor.lastrowid
 
-                    # 2. Insert English entry
+                    # Insert spaced English entry
                     cursor.execute("""
                         INSERT INTO phrases (text, language, textbook, unit, source_context, word_type, grammar_note)
                         VALUES (?, 'en', ?, ?, ?, ?, NULL)
-                    """, (en_raw, textbook, unit, context, w_type))
+                    """, (en_clean, textbook, unit, context, w_type))
                     en_id = cursor.lastrowid
 
-                    # 3. Create Bidirectional Cross-References
+                    # Re-map relations
                     cursor.execute("INSERT INTO translations (source_phrase_id, target_phrase_id) VALUES (?, ?)", (es_id, en_id))
                     cursor.execute("INSERT INTO translations (source_phrase_id, target_phrase_id) VALUES (?, ?)", (en_id, es_id))
                     
@@ -130,4 +148,4 @@ class GlossaryCleaner:
 
         conn.commit()
         conn.close()
-        print(f"🎉 Metadata-aware normalization complete! Saved {inserted_count} structured phrases.")
+        print(f"🎉 Schema extraction pipeline completed! Saved {inserted_count} pristine phrase definitions.")

database/connection.py

@@ -1,59 +1,54 @@
 # database/connection.py
 import sqlite3
-import os
-
-DB_NAME = "spanish_trainer.db"
 
 def get_connection():
-    """Returns a standard connection object to the SQLite database."""
+    return sqlite3.connect("spanish_trainer.db")
-    return sqlite3.connect(DB_NAME)
 
 def init_db():
-    """
-    Initializes the SQLite database tables if they do not exist.
-    This safely runs on every boot without wiping your existing data.
-    """
-    print(f"🗄️ Checking database status for '{DB_NAME}'...")
-    
-    # The SQL schema we designed for your glossary, cross-references, and tracks
-    schema = """
-    CREATE TABLE IF NOT EXISTS phrases (
-        id INTEGER PRIMARY KEY AUTOINCREMENT,
-        text TEXT NOT NULL,
-        language TEXT NOT NULL,
-        textbook TEXT DEFAULT NULL,
-        unit INTEGER DEFAULT NULL,
-        source_context TEXT DEFAULT NULL,
-        created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-    );
-
-    CREATE TABLE IF NOT EXISTS translations (
-        source_phrase_id INTEGER,
-        target_phrase_id INTEGER,
-        PRIMARY KEY (source_phrase_id, target_phrase_id),
-        FOREIGN KEY (source_phrase_id) REFERENCES phrases(id) ON DELETE CASCADE,
-        FOREIGN KEY (target_phrase_id) REFERENCES phrases(id) ON DELETE CASCADE
-    );
-
-    CREATE TABLE IF NOT EXISTS audio_tracks (
-        id INTEGER PRIMARY KEY AUTOINCREMENT,
-        phrase_id INTEGER NOT NULL,
-        voice_gender TEXT NOT NULL,
-        voice_name TEXT NOT NULL,
-        file_path TEXT NOT NULL,
-        is_reference INTEGER DEFAULT 1,
-        FOREIGN KEY (phrase_id) REFERENCES phrases(id) ON DELETE CASCADE
-    );
-    """
-    
     conn = get_connection()
-    try:
+    cursor = conn.cursor()
-        cursor = conn.cursor()
+    
-        # executescript allows running multiple CREATE TABLE statements at once
+    # 1. Main Phrases Table
-        cursor.executescript(schema)
+    cursor.execute("""
-        conn.commit()
+        CREATE TABLE IF NOT EXISTS phrases (
-        print("✅ Database tables verified and initialized successfully.")
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
-    except sqlite3.Error as e:
+            text TEXT NOT NULL,
-        print(f"❌ Database initialization failed: {e}")
+            language TEXT NOT NULL,
-    finally:
+            textbook TEXT,
-        conn.close()
+            unit INTEGER,
+            source_context TEXT,
+            word_type TEXT,
+            grammar_note TEXT,
+            voice_gender TEXT DEFAULT 'female',
+            base_speed REAL DEFAULT 1.0,
+            deck_name TEXT DEFAULT 'General',
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        )
+    """)
+    
+    # 2. Translations Cross-Reference Table
+    cursor.execute("""
+        CREATE TABLE IF NOT EXISTS translations (
+            source_phrase_id INTEGER,
+            target_phrase_id INTEGER,
+            PRIMARY KEY (source_phrase_id, target_phrase_id),
+            FOREIGN KEY (source_phrase_id) REFERENCES phrases(id) ON DELETE CASCADE,
+            FOREIGN KEY (target_phrase_id) REFERENCES phrases(id) ON DELETE CASCADE
+        )
+    """)
+
+    # 3. Audio Tracks Metadata Table (Required by the glossary cleaner)
+    cursor.execute("""
+        CREATE TABLE IF NOT EXISTS audio_tracks (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            phrase_id INTEGER,
+            file_path TEXT NOT NULL,
+            sample_rate INTEGER,
+            duration REAL,
+            FOREIGN KEY (phrase_id) REFERENCES phrases(id) ON DELETE CASCADE
+        )
+    """)
+    
+    conn.commit()
+    conn.close()
+    print("✅ Rich metadata database schema initialized successfully.")

main.py

@@ -1,27 +1,410 @@
 # main.py
-import asyncio
+import sys
-from database.connection import init_db
+import os
+from PyQt6.QtWidgets import (
+    QApplication, QMainWindow, QWidget, QTabWidget, QVBoxLayout, 
+    QHBoxLayout, QLabel, QPushButton, QLineEdit, QComboBox, 
+    QTableWidget, QTableWidgetItem, QSlider, QFormLayout, QTextEdit, QFrame, QMessageBox
+)
+from PyQt6.QtCore import Qt, QUrl
+from PyQt6.QtMultimedia import QMediaPlayer, QAudioOutput
+from PyQt6.QtGui import QFont
+from database.connection import init_db, get_connection
 from core.bulk_importer import BulkImporter
 from core.clean_glossary import GlossaryCleaner
 
-async def rebuild_pipeline():
+class SpanishTrainerApp(QMainWindow):
-    print("🚀 Initiating Clean Reconstruction Pipeline...")
+    def __init__(self):
+        super().__init__()
+        self.setWindowTitle("Castilian Voice Trainer Pro")
+        self.setMinimumSize(1000, 650)
         
-    # 1. This will automatically recreate the blank .db file and all tables
+        # 1. Initialize and Seed Database if Empty
-    init_db()
+        self.ensure_database_populated()
         
-    # 2. Run the layout-aware bulk import from the PDF layout text
+        # 2. Initialize PyQt Multimedia Audio Engine Components
-    importer = BulkImporter()
+        self.media_player = QMediaPlayer()
-    pdf_file = "aula_int_plus_1_glos_en_alfa.pdf"
+        self.audio_output = QAudioOutput()
-    textbook = "Aula Internacional Plus 1"
+        self.media_player.setAudioOutput(self.audio_output)
         
-    importer.import_pdf_glossary(pdf_file, textbook)
+        self.current_flashcard_id = None
         
-    # 3. Immediately run the metadata preservation and text cleaning pass
+        # 3. Build UI Components
-    cleaner = GlossaryCleaner()
+        self.tabs = QTabWidget()
-    cleaner.process_database_clean()
+        self.setCentralWidget(self.tabs)
         
-    print("\n✨ Database completely rebuilt with pristine structured data!")
+        self.init_phrase_sandbox_tab()
+        self.init_flashcard_reviewer_tab()
+        
+        # 4. Initial Load of Database Data into Grid View
+        self.refresh_crud_table()
+
+    def ensure_database_populated(self):
+        """Verifies if the database exists and has records; seeds it from the PDF if empty."""
+        init_db()
+        
+        conn = get_connection()
+        cursor = conn.cursor()
+        try:
+            cursor.execute("SELECT COUNT(*) FROM phrases")
+            count = cursor.fetchone()[0]
+        except Exception:
+            count = 0
+        conn.close()
+        
+        if count == 0:
+            print("🗄️ Database appears empty. Running the structural reconstruction pipeline...")
+            pdf_file = "aula_int_plus_1_glos_en_alfa.pdf"
+            textbook = "Aula Internacional Plus 1"
+            
+            if os.path.exists(pdf_file):
+                importer = BulkImporter()
+                importer.import_pdf_glossary(pdf_file, textbook)
+                
+                cleaner = GlossaryCleaner()
+                cleaner.process_database_clean()
+                print("✨ Database successfully seeded with metadata-parsed entries.")
+            else:
+                print(f"⚠️ Warning: Could not find '{pdf_file}' to automatically seed records.")
+
+    # =====================================================================
+    # 🗄️ TAB 1: PHRASE SANDBOX (CRUD Panel)
+    # =====================================================================
+    def init_phrase_sandbox_tab(self):
+        tab = QWidget()
+        layout = QHBoxLayout(tab)
+        
+        left_panel = QVBoxLayout()
+        search_layout = QHBoxLayout()
+        search_layout.addWidget(QLabel("🔍 Filter text:"))
+        self.search_input = QLineEdit()
+        self.search_input.textChanged.connect(self.refresh_crud_table)
+        search_layout.addWidget(self.search_input)
+        left_panel.addLayout(search_layout)
+        
+        self.phrase_table = QTableWidget()
+        self.phrase_table.setColumnCount(6)
+        self.phrase_table.setHorizontalHeaderLabels(["ID", "Text", "Lang", "Type", "Voice Gender", "Deck Tag"])
+        self.phrase_table.itemSelectionChanged.connect(self.handle_table_row_select)
+        left_panel.addWidget(self.phrase_table)
+        
+        right_panel = QVBoxLayout()
+        form_frame = QFrame()
+        form_frame.setFrameShape(QFrame.Shape.StyledPanel)
+        form_layout = QFormLayout(form_frame)
+        
+        self.input_id = QLineEdit()
+        self.input_id.setReadOnly(True)
+        self.input_id.setPlaceholderText("Auto-assigned ID")
+        
+        self.input_text = QTextEdit()
+        self.input_text.setMaximumHeight(60)
+        
+        self.combo_lang = QComboBox()
+        self.combo_lang.addItems(["es", "en"])
+        
+        self.combo_type = QComboBox()
+        self.combo_type.addItems(["sentence", "phrase", "noun", "verb", "adjective"])
+        
+        self.combo_voice_gender = QComboBox()
+        self.combo_voice_gender.addItems(["female", "male"])
+        
+        self.slider_base_speed = QSlider(Qt.Orientation.Horizontal)
+        self.slider_base_speed.setMinimum(50)   
+        self.slider_base_speed.setMaximum(150)  
+        self.slider_base_speed.setValue(100)    
+        self.lbl_base_speed = QLabel("1.00x")
+        self.slider_base_speed.valueChanged.connect(lambda v: self.lbl_base_speed.setText(f"{v/100:.2f}x"))
+        
+        speed_box = QHBoxLayout()
+        speed_box.addWidget(self.slider_base_speed)
+        speed_box.addWidget(self.lbl_base_speed)
+        
+        self.input_deck_tag = QLineEdit()
+        self.input_deck_tag.setPlaceholderText("e.g., Anki_Unit_1")
+        
+        form_layout.addRow("Phrase ID Resource:", self.input_id)
+        form_layout.addRow(QLabel("<b>Target Conversational Text:</b>"))
+        form_layout.addRow(self.input_text)
+        form_layout.addRow("Language Accent:", self.combo_lang)
+        form_layout.addRow("Grammar Type Classification:", self.combo_type)
+        form_layout.addRow("<b>Preferred Voice Gender:</b>", self.combo_voice_gender)
+        form_layout.addRow("<b>Default Playback Speed:</b>", speed_box)
+        form_layout.addRow("Deck / Group Identifier Tag:", self.input_deck_tag)
+        
+        crud_buttons = QHBoxLayout()
+        self.btn_save = QPushButton("➕ Save New")
+        self.btn_update = QPushButton("💾 Update Entry")
+        self.btn_delete = QPushButton("🗑️ Delete")
+        
+        self.btn_save.clicked.connect(self.crud_create)
+        self.btn_update.clicked.connect(self.crud_update)
+        self.btn_delete.clicked.connect(self.crud_delete)
+        
+        crud_buttons.addWidget(self.btn_save)
+        crud_buttons.addWidget(self.btn_update)
+        crud_buttons.addWidget(self.btn_delete)
+        
+        right_panel.addWidget(QLabel("<h3>Configure Phrase & Voice Variables</h3>"))
+        right_panel.addWidget(form_frame)
+        right_panel.addLayout(crud_buttons)
+        right_panel.addStretch()
+        
+        layout.addLayout(left_panel, stretch=3)
+        layout.addLayout(right_panel, stretch=2)
+        
+        self.tabs.addTab(tab, "🗄️ Phrase Sandbox (CRUD)")
+
+    # =====================================================================
+    # 🃏 TAB 2: FLASHCARD STUDY PLAYER
+    # =====================================================================
+    def init_flashcard_reviewer_tab(self):
+        tab = QWidget()
+        layout = QVBoxLayout(tab)
+        
+        card_frame = QFrame()
+        card_frame.setStyleSheet("background-color: #ffffff; border: 2px solid #bdc3c7; border-radius: 12px;")
+        card_layout = QVBoxLayout(card_frame)
+        
+        self.lbl_card_text = QLabel("Click 'Load Next' to study sentences...")
+        self.lbl_card_text.setAlignment(Qt.AlignmentFlag.AlignCenter)
+        self.lbl_card_text.setFont(QFont("Arial", 22, QFont.Weight.Bold))
+        self.lbl_card_text.setWordWrap(True)
+        self.lbl_card_text.setStyleSheet("color: #2c3e50; border: none; padding: 20px;")
+        
+        self.lbl_card_meta = QLabel("")
+        self.lbl_card_meta.setAlignment(Qt.AlignmentFlag.AlignCenter)
+        self.lbl_card_meta.setFont(QFont("Arial", 11))
+        self.lbl_card_meta.setStyleSheet("color: #7f8c8d; border: none;")
+        
+        card_layout.addStretch()
+        card_layout.addWidget(self.lbl_card_text)
+        card_layout.addWidget(self.lbl_card_meta)
+        card_layout.addStretch()
+        
+        playback_layout = QHBoxLayout()
+        playback_layout.addWidget(QLabel("🔊 Fine-Tune Study Speed:"))
+        
+        self.slider_review_speed = QSlider(Qt.Orientation.Horizontal)
+        self.slider_review_speed.setMinimum(50)   
+        self.slider_review_speed.setMaximum(150)  
+        self.slider_review_speed.setValue(100)    
+        self.lbl_review_speed = QLabel("1.0x (Normal)")
+        
+        self.slider_review_speed.valueChanged.connect(self.handle_live_speed_change)
+        
+        playback_layout.addWidget(self.slider_review_speed)
+        playback_layout.addWidget(self.lbl_review_speed)
+        
+        action_buttons = QHBoxLayout()
+        self.btn_play_voice = QPushButton("🗣️ Play Voice Track")
+        self.btn_flip_card = QPushButton("👁️ Reveal Translation")
+        self.btn_load_next = QPushButton("➡️ Next Card")
+        
+        self.btn_play_voice.clicked.connect(self.handle_play_voice)
+        self.btn_flip_card.clicked.connect(self.handle_flip_card)
+        self.btn_load_next.clicked.connect(self.handle_load_next_card)
+        
+        action_buttons.addWidget(self.btn_play_voice)
+        action_buttons.addWidget(self.btn_flip_card)
+        action_buttons.addStretch()
+        action_buttons.addWidget(self.btn_load_next)
+        
+        layout.addWidget(card_frame, stretch=1)
+        layout.addLayout(playback_layout)
+        layout.addLayout(action_buttons)
+        
+        self.tabs.addTab(tab, "🃏 Flashcard Study")
+
+    # =====================================================================
+    # ⚡ ENGINE BUSINESS LOGIC OPERATIONS & DATABASE MAPPINGS
+    # =====================================================================
+    
+    def refresh_crud_table(self):
+        conn = get_connection()
+        cursor = conn.cursor()
+        
+        filter_text = self.search_input.text()
+        if filter_text:
+            cursor.execute("""
+                SELECT id, text, language, word_type, voice_gender, deck_name 
+                FROM phrases WHERE text LIKE ? ORDER BY id DESC LIMIT 100
+            """, (f"%{filter_text}%",))
+        else:
+            cursor.execute("""
+                SELECT id, text, language, word_type, voice_gender, deck_name 
+                FROM phrases ORDER BY id DESC LIMIT 100
+            """)
+            
+        rows = cursor.fetchall()
+        conn.close()
+        
+        self.phrase_table.setRowCount(0)
+        for row_idx, row_data in enumerate(rows):
+            self.phrase_table.insertRow(row_idx)
+            for col_idx, value in enumerate(row_data):
+                self.phrase_table.setItem(row_idx, col_idx, QTableWidgetItem(str(value if value is not None else "")))
+
+    def handle_table_row_select(self):
+        selected_ranges = self.phrase_table.selectedRanges()
+        if not selected_ranges:
+            return
+        row = selected_ranges[0].topRow()
+        item = self.phrase_table.item(row, 0)
+        if not item:
+            return
+        phrase_id = item.text()
+        
+        conn = get_connection()
+        cursor = conn.cursor()
+        cursor.execute("SELECT id, text, language, word_type, voice_gender, base_speed, deck_name FROM phrases WHERE id = ?", (phrase_id,))
+        record = cursor.fetchone()
+        conn.close()
+        
+        if record:
+            self.input_id.setText(str(record[0]))
+            self.input_text.setPlainText(str(record[1]))
+            self.combo_lang.setCurrentText(str(record[2]))
+            self.combo_type.setCurrentText(str(record[3]) if record[3] else "sentence")
+            self.combo_voice_gender.setCurrentText(str(record[4]) if record[4] else "female")
+            
+            speed_val = int((record[5] if record[5] else 1.0) * 100)
+            self.slider_base_speed.setValue(speed_val)
+            self.input_deck_tag.setText(str(record[6]) if record[6] else "General")
+
+    def crud_create(self):
+        conn = get_connection()
+        cursor = conn.cursor()
+        cursor.execute("""
+            INSERT INTO phrases (text, language, word_type, voice_gender, base_speed, deck_name)
+            VALUES (?, ?, ?, ?, ?, ?)
+        """, (
+            self.input_text.toPlainText().strip(),
+            self.combo_lang.currentText(),
+            self.combo_type.currentText(),
+            self.combo_voice_gender.currentText(),
+            self.slider_base_speed.value() / 100.0,  # Fixed typo: changed from .setValue() to .value()
+            self.input_deck_tag.text().strip() or "General"
+        ))
+        conn.commit()
+        conn.close()
+        self.refresh_crud_table()
+        QMessageBox.information(self, "Success", "Phrase generated into database index store successfully.")
+
+    def crud_update(self):
+        pid = self.input_id.text()
+        if not pid:
+            return
+        conn = get_connection()
+        cursor = conn.cursor()
+        cursor.execute("""
+            UPDATE phrases SET text=?, language=?, word_type=?, voice_gender=?, base_speed=?, deck_name=?
+            WHERE id=?
+        """, (
+            self.input_text.toPlainText().strip(),
+            self.combo_lang.currentText(),
+            self.combo_type.currentText(),
+            self.combo_voice_gender.currentText(),
+            self.slider_base_speed.value() / 100.0,
+            self.input_deck_tag.text().strip() or "General",
+            pid
+        ))
+        conn.commit()
+        conn.close()
+        self.refresh_crud_table()
+        QMessageBox.information(self, "Success", "Database record fields updated cleanly.")
+
+    def crud_delete(self):
+        pid = self.input_id.text()
+        if not pid:
+            return
+        conn = get_connection()
+        cursor = conn.cursor()
+        cursor.execute("DELETE FROM phrases WHERE id=?", (pid,))
+        conn.commit()
+        conn.close()
+        self.input_id.clear()
+        self.input_text.clear()
+        self.refresh_crud_table()
+
+    # =====================================================================
+    # 🔊 AUDIO PLAYER SYSTEM
+    # =====================================================================
+    def handle_load_next_card(self):
+        conn = get_connection()
+        cursor = conn.cursor()
+        cursor.execute("SELECT id, text, language, word_type, voice_gender, base_speed FROM phrases ORDER BY RANDOM() LIMIT 1")
+        record = cursor.fetchone()
+        conn.close()
+        
+        if record:
+            self.current_flashcard_id = record[0]
+            self.lbl_card_text.setText(record[1])
+            
+            lang_lbl = "Spanish Accent" if record[2] == "es" else "English Accent"
+            gender_lbl = str(record[4]).capitalize() if record[4] else "Female"
+            self.lbl_card_meta.setText(f"Classification: {record[3]} • Configured Voice: {lang_lbl} ({gender_lbl})")
+            
+            card_saved_speed = int((record[5] if record[5] else 1.0) * 100)
+            self.slider_review_speed.setValue(card_saved_speed)
+
+    def handle_play_voice(self):
+        if not self.current_flashcard_id:
+            return
+            
+        conn = get_connection()
+        cursor = conn.cursor()
+        cursor.execute("SELECT text, language, voice_gender FROM phrases WHERE id = ?", (self.current_flashcard_id,))
+        phrase_row = cursor.fetchone()
+        conn.close()
+        
+        if not phrase_row:
+            return
+            
+        text_str, lang_code, voice_gender = phrase_row
+        
+        safe_filename = "".join([c for c in text_str if c.isalnum() or c in (" ", "_")]).rstrip().replace(" ", "_").lower()
+        target_audio_file = f"media/{safe_filename}_{lang_code}_{voice_gender}.mp3"
+        
+        os.makedirs("media", exist_ok=True)
+        
+        if not os.path.exists(target_audio_file):
+            QMessageBox.warning(self, "Audio Track Missing", 
+                                f"Audio track asset file not found in directory:\n'{target_audio_file}'\n\nRun the background Edge-TTS batch generator script next to download this track automatically.")
+            return
+
+        self.media_player.setSource(QUrl.fromLocalFile(os.path.abspath(target_audio_file)))
+        
+        current_rate = self.slider_review_speed.value() / 100.0
+        self.media_player.setPlaybackRate(current_rate)
+        
+        self.media_player.play()
+
+    def handle_live_speed_change(self, value):
+        rate = value / 100.0
+        self.lbl_review_speed.setText(f"{rate:.2f}x")
+        if self.media_player.playbackState() == QMediaPlayer.PlaybackState.PlayingState:
+            self.media_player.setPlaybackRate(rate)
+
+    def handle_flip_card(self):
+        if not self.current_flashcard_id:
+            return
+        conn = get_connection()
+        cursor = conn.cursor()
+        cursor.execute("""
+            SELECT p2.text FROM translations t
+            JOIN phrases p2 ON t.target_phrase_id = p2.id
+            WHERE t.source_phrase_id = ?
+        """, (self.current_flashcard_id,))
+        row = cursor.fetchone()
+        conn.close()
+        
+        if row:
+            current_es = self.lbl_card_text.text().split("\n\n👉")[0]
+            self.lbl_card_text.setText(f"{current_es}\n\n👉 [ {row[0]} ]")
 
 if __name__ == "__main__":
-    asyncio.run(rebuild_pipeline())
+    app = QApplication(sys.argv)
+    window = SpanishTrainerApp()
+    window.show()
+    sys.exit(app.exec())