Delete app.py

app.py

@@ -1,84 +0,0 @@
-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
-
-def init_db():
-    conn = sqlite3.connect('faithpath.db')
-    cursor = conn.cursor()
-    cursor.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_bridge_engine(metin):
-    text_lower = metin.lower()
-    exclusive_logic = {
-        'öfke_ve_gerginlik': ['sabrımın son kertesindeyim', 'nevrim döndü', 'parlamamak', 'zor tutuyorum'],
-        'şükran_ve_minnet': ['secde-i şükran', 'hamd etsek az', 'minnettarım', 'allah bin bereket'],
-        'sabır_ve_metanet': ['bağrıma taş bastım', 'isyan etmeksizin', 'dişini sıkıp', 'sabır taşı'],
-        'cömertlik_ve_paylaşma': ['rızkı paylaştıkça', 'ihtiyacı olana', 'gönlümüzü açtık', 'infak etmek', 'sadaka vermek', 'ikramda bulunmak']
-    }
-    for cat, words in exclusive_logic.items():
-        if any(w in text_lower for w in words): return cat, random.choice(faith_library.get(cat, []))
-    bert_res = sentiment_analyzer(metin)[0]
-    cat = 'mutluluk_ve_huzur' if bert_res['label'] == 'positive' else 'hüzün_ve_keder'
-    return cat, random.choice(faith_library.get(cat, []))
-
-def process_entry_user(text):
-    if len(text.strip()) < 5: return "Hata: Metin çok kısa."
-    cat, mission = semantic_bridge_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'], 'Web'))
-    conn.commit(); conn.close()
-    return f"""<div style='padding:20px; background:#0f172a; border-radius:10px; color:white;'>
-<h3 style='color:#10b981;'>Manevi Rehber</h3>
-<p><i>"{mission['metin']}"</i></p>
-<p align='right'>- {mission['kaynak']}</p>
-<hr>
-<p style='color:#fde047;'><b>🎯 Kalp Görevi:</b> {mission.get('rehber_mesaji', 'Ailenize vakit ayırın.')}</p>
-</div>"""
-
-def get_admin_content(password):
-    if password != 'Enes.13112006': return gr.update(visible=False), None, None, "Hata!"
-    conn = sqlite3.connect('faithpath.db')
-    df = pd.read_sql_query('SELECT * FROM journal_entries', conn)
-    conn.close()
-    if df.empty: return gr.update(visible=True), None, None, "Henüz kayıt yok."
-
-    fig_pie = px.pie(df, names='detected_emotion', title='Duygu Dağılımı', template='plotly_dark')
-    
-    # TARİH FORMATI DÜZENLEMESİ: 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')
-    fig_line.update_xaxes(tickformat="%d/%m/%Y")
-
-    table_html = df[['date', 'entry_text', 'detected_emotion']].to_html(classes='table table-dark', index=False)
-    return gr.update(visible=True), fig_pie, fig_line, f"### Kayıtlar\n{table_html}"
-
-with gr.Blocks() as demo:
-    with gr.Tab('Asistan'):
-        txt = gr.Textbox(lines=5); btn = gr.Button('Analiz'); out = gr.HTML(); btn.click(process_entry_user, txt, out)
-    with gr.Tab('Admin'):
-        pwd = gr.Textbox(type='password'); lbtn = gr.Button('Giriş'); zone = gr.Column(visible=False); plt1 = gr.Plot(); plt2 = gr.Plot(); stat = gr.HTML()
-        with zone: 
-            with gr.Row(): plt1; plt2
-            stat
-        lbtn.click(get_admin_content, pwd, [zone, plt1, plt2, stat])
-demo.launch()