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app.py

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+import gradio as gr
+import sqlite3
+import pandas as pd
+import plotly.express as px
+import random
+import json
+import os
+from datetime import datetime
+from transformers import pipeline
+
+# --- DB & MODEL SETUP ---
+def init_db():
+    conn = sqlite3.connect('faithpath.db')
+    conn.execute('CREATE TABLE IF NOT EXISTS journal_entries (id INTEGER PRIMARY KEY AUTOINCREMENT, date TEXT, entry_text TEXT, detected_emotion TEXT, mission_source TEXT, mission_text TEXT, city TEXT)')
+    conn.commit(); conn.close()
+
+init_db()
+sentiment_analyzer = pipeline('sentiment-analysis', model='savasy/bert-base-turkish-sentiment-cased')
+
+with open('faith_library_final_v56.json', 'r', encoding='utf-8') as f:
+    faith_library = json.load(f)
+
+def semantic_engine(metin):
+    t = metin.lower()
+    logic = {
+        'öfke_ve_gerginlik': ['nevrim döndü', 'parlamamak', 'zor tutuyorum', 'damarıma bas', 'tepemin tasını'],
+        'şükran_ve_minnet': ['secde-i şükran', 'hamdolsun', 'minnettarım', 'allah bin bereket'],
+        'sabır_ve_metanet': ['bağrıma taş bastım', 'isyan etmeksizin', 'dişini sıkıp', 'sabır taşı'],
+        'cömertlik_ve_paylaşma': ['rızkı paylaştıkça', 'ihtiyacı olana', 'infak etmek', 'sadaka']
+    }
+    for cat, words in logic.items():
+        if any(w in t for w in words): return cat, random.choice(faith_library.get(cat, []))
+    res = sentiment_analyzer(metin)[0]
+    cat = 'mutluluk_ve_huzur' if res['label'] == 'positive' else 'hüzün_ve_keder'
+    return cat, random.choice(faith_library.get(cat, []))
+
+def process_user(text):
+    if len(text.strip()) < 10: return "<div style='padding:20px; background:#7f1d1d; color:white; border-radius:10px;'>Hata: Analiz için daha detaylı bir cümle yazmalısınız.</div>"
+    cat, mission = semantic_engine(text)
+    conn = sqlite3.connect('faithpath.db')
+    conn.execute('INSERT INTO journal_entries (date, entry_text, detected_emotion, mission_source, mission_text, city) VALUES (?,?,?,?,?,?)',
+                 (datetime.now().strftime('%Y-%m-%d %H:%M:%S'), text, cat, mission['kaynak'], mission['metin'], 'Belirtilmemiş'))
+    conn.commit(); conn.close()
+
+    return f"""<div style='padding:30px; border-radius:20px; background:#0f172a; border:2px solid #10b981; color:white; font-family:sans-serif;'>
+        <h2 style='color:#10b981; text-align:center; margin-top:0;'>🕊️ Manevi Rehberlik</h2>
+        <div style='background:#1e293b; padding:20px; border-radius:15px; margin:20px 0; border-left:6px solid #3b82f6;'>
+            <p style='color:#94a3b8; font-size:0.8em; text-transform:uppercase; margin-bottom:5px;'>Sistem Analizi: {cat.replace('_',' ').title()}</p>
+            <p style='font-size:1.3em; font-style:italic; line-height:1.5;'>"{mission['metin']}"</p>
+            <p style='text-align:right; color:#10b981; font-weight:bold;'>— {mission['kaynak']}</p>
+        </div>
+        <div style='background:#064e3b; padding:20px; border-radius:15px; border-left:6px solid #fbbf24;'>
+            <strong style='color:#fbbf24; display:block; margin-bottom:8px; font-size:1.1em;'>🎯 Bugünün Kalp Görevi:</strong>
+            <p style='font-size:1.1em; line-height:1.4;'>{mission.get('rehber_mesaji', 'Ailenizle vakit geçirin.')}</p>
+        </div>
+    </div>"""
+
+def get_admin(pwd):
+    if pwd != 'Enes.13112006': return gr.update(visible=False), None, None, "### Hata: Yetkisiz Erişim"
+    conn = sqlite3.connect('faithpath.db'); df = pd.read_sql_query('SELECT * FROM journal_entries ORDER BY id DESC', conn); conn.close()
+    if df.empty: return gr.update(visible=True), None, None, "Veri yok."
+    
+    # Plot 1: Sentiment Distribution
+    fig_pie = px.pie(df, names='detected_emotion', title='Genel Duygu Dağılımı', template='plotly_dark', hole=.4)
+    
+    # Plot 2: Time Trend (DD/MM/YYYY)
+    df['date_dt'] = pd.to_datetime(df['date'])
+    trend_df = df.groupby(df['date_dt'].dt.date).size().reset_index(name='Sayi')
+    fig_line = px.line(trend_df, x='date_dt', y='Sayi', title='Kayıt Trendi', template='plotly_dark', markers=True)
+    fig_line.update_xaxes(tickformat="%d/%m/%Y")
+
+    table = df[['date', 'entry_text', 'detected_emotion']].to_html(classes='table table-dark table-hover', index=False)
+    return gr.update(visible=True), fig_pie, fig_line, f"### Toplam Kayıt: {len(df)}\n{table}"
+
+# --- UI DESIGN ---
+with gr.Blocks(theme=gr.themes.Soft(), css='.gradio-container {background-color: #0f172a}') as demo:
+    gr.Markdown("<h1 style='text-align:center; color:#10b981;'>🕊️ FaithPath Professional v5.8.8</h1>")
+    with gr.Tabs():
+        with gr.Tab('🕊️ Rehberlik Asistanı'):
+            with gr.Row():
+                with gr.Column(scale=2):
+                    txt = gr.Textbox(label='Bugün ailenizle ilgili neler yaşadınız?', placeholder='Duygularınızı buraya yazın...', lines=10)
+                    btn = gr.Button('Analiz Et ve Rehberlik Al', variant='primary')
+                with gr.Column(scale=3): out = gr.HTML()
+            btn.click(process_user, [txt], out)
+        with gr.Tab('📊 Yönetici Paneli'):
+            with gr.Row():
+                pwd = gr.Textbox(label='Yönetici Şifresi', type='password'); lbtn = gr.Button('Sisteme Giriş')
+            with gr.Column(visible=False) as zone:
+                with gr.Row():
+                    plt1 = gr.Plot(); plt2 = gr.Plot()
+                stats = gr.HTML()
+            lbtn.click(get_admin, pwd, [zone, plt1, plt2, stats])
+    gr.Markdown("<center style='color:#64748b; margin-top:20px;'>Enes YILMAZ - Karabük University | Time Analysis & Simplified UI</center>")
+demo.launch()

requirements.txt

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+gradio
+pandas
+plotly
+transformers
+torch