diff --git a/.claude/settings.local.json b/.claude/settings.local.json new file mode 100755 index 0000000..7a05817 --- /dev/null +++ b/.claude/settings.local.json @@ -0,0 +1,15 @@ +{ + "permissions": { + "allow": [ + "Bash(dir C:UsersviliaOneDrivePočítač*thesis*)", + "Bash(dir:*)", + "Bash(source venv/Scripts/activate)", + "Bash(python -m pytest test_app.py -v)", + "Bash(python -c \"import flask; import transformers; import torch; print\\(''Dependencies OK''\\)\")", + "Bash(curl -s http://localhost:5000/api/stats)", + "Bash(curl:*)", + "Bash(python -c \":*)", + "Bash(python view_db.py)" + ] + } +} diff --git a/.gitignore b/.gitignore new file mode 100755 index 0000000..6c5346c --- /dev/null +++ b/.gitignore @@ -0,0 +1,8 @@ +venv/ +.venv/ +__pycache__/ +*.pyc +.env +factchecker.db +node_modules/ +dist/ \ No newline at end of file diff --git a/README.md b/README.md index e69de29..9456eb5 100644 --- a/README.md +++ b/README.md @@ -0,0 +1,90 @@ +# README.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## Project Overview + +AI Fact Checker - a full-stack web application that verifies claims using Natural Language Inference (NLI) models. The system searches the web via SerpAPI, analyzes snippets against claims, and returns verdicts (True/False/Ambiguous) with evidence. + +## Tech Stack + +**Backend (Python/Flask):** +- Flask REST API with CORS +- ML: HuggingFace Transformers (RoBERTa, mDeBERTa-v3) +- Translation: deep_translator (Google Translate) +- Database: SQLite with caching layer +- Search: SerpAPI for Google search results + +**Frontend (React/Vite):** +- React 19 with Vite 7 +- React Router for navigation +- Axios for HTTP requests +- CSS custom properties for theming + +## Architecture + +``` +factchecker/ +├── backend/ +│ ├── app.py # Flask API, NLI logic, model switching +│ ├── database.py # SQLite cache, verified facts, stats +│ ├── .env # SERPAPI_API_KEY (required) +│ └── venv/ # Python virtual environment +├── frontend/ +│ ├── src/ +│ │ ├── App.jsx # Router setup +│ │ ├── main.jsx # React entry point +│ │ ├── components/ +│ │ │ └── Layout.jsx +│ │ └── pages/ +│ │ ├── Home.jsx # Main fact-check UI +│ │ └── About.jsx +│ └── package.json +└── factchecker.db # SQLite database (auto-created) +``` + +## Key Commands + +### Backend +```bash +cd backend +source venv/bin/activate # or: venv\Scripts\activate on Windows +python app.py # Start Flask on port 5000 +python clear_cache.py # Clear cache +python view_db.py # View database contents +``` + +### Frontend +```bash +cd frontend +npm install +npm run dev # Vite dev server +npm run build # Production build +npm run lint # ESLint +``` + +## API Endpoints + +- `POST /api/check` - Verify a claim (body: claim, language, dateFrom, dateTo, selectedSource, model) +- `GET /api/history` - Get check history (query: limit) +- `GET /api/stats` - Get database statistics +- `POST /api/admin/add-fact` - Add manually verified fact (admin) + +## Models + +Dva NLI modely dostupné s rôznymi компромismi: +1. **RoBERTa** (`ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli`) - Rýchly, vyžaduje preklad do angličtiny +2. **mDeBERTa** (`MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7`) - Najlepší pre slovenčinu, multilingválny + +## Database Schema + +- `fact_checks` - Cached results with claim hash, verdict, NLI votes, evidence, sources +- `verified_facts` - Manually verified facts (admin-added) + +## Important Notes + +- The `.env` file contains the SerpAPI key - do not commit +- Models are loaded on-demand; switching triggers reload with cache clearing +- Slovak claims are auto-translated for RoBERTa; mDeBERTa handles Slovak natively +- Domain whitelist/blacklist filters search results for quality +- Results are cached by claim hash to avoid redundant API calls diff --git a/backend/test_app.py b/backend/test_app.py new file mode 100755 index 0000000..7f83127 --- /dev/null +++ b/backend/test_app.py @@ -0,0 +1,563 @@ +""" +Testy pre AI Fact Checker aplikáciu +Spustenie: python -m pytest test_app.py -v +Alebo: python test_app.py +""" + +import pytest +import json +import os +import sys +from datetime import datetime, timedelta + +# Nastavíme prostredie pre testovanie +os.environ['TESTING'] = 'True' + +# Importujeme aplikáciu +from app import app, load_model, MODELS +from database import ( + get_db_connection, + get_cached_result, + save_to_cache, + get_history, + get_stats, + add_verified_fact, + hash_claim, + init_db +) + + +# ============================================================================= +# FIXTURES - Pomocné funkcie pre testy +# ============================================================================= + +@pytest.fixture +def client(): + """Vytvorí testovacieho klienta pre Flask aplikáciu""" + app.config['TESTING'] = True + with app.test_client() as client: + yield client + + +@pytest.fixture +def init_test_db(): + """Inicializuje čistú databázu pre testy""" + init_db() + yield + # Cleanup - vymažeme testovacie dáta + conn = get_db_connection() + cursor = conn.cursor() + cursor.execute("DELETE FROM fact_checks") + cursor.execute("DELETE FROM verified_facts") + conn.commit() + conn.close() + + +# ============================================================================= +# TESTY DATABÁZY +# ============================================================================= + +class TestDatabase: + """Testy pre databázové operácie""" + + def test_hash_claim_consistency(self): + """Test: Hash toho istého výroku je vždy rovnaký""" + claim = "Bratislava je hlavné mesto Slovenska" + hash1 = hash_claim(claim) + hash2 = hash_claim(claim) + assert hash1 == hash2, "Hash by mal byť konzistentný" + + def test_hash_claim_case_insensitive(self): + """Test: Hash je case-insensitive""" + claim1 = "Bratislava je hlavné mesto Slovenska" + claim2 = "bratislava je hlavné mesto slovenska" + hash1 = hash_claim(claim1) + hash2 = hash_claim(claim2) + assert hash1 == hash2, "Hash by mal byť case-insensitive" + + def test_hash_claim_different_claims(self): + """Test: Rôzne výroky majú rôzny hash""" + claim1 = "Bratislava je hlavné mesto Slovenska" + claim2 = "Košice sú druhé najväčšie mesto" + hash1 = hash_claim(claim1) + hash2 = hash_claim(claim2) + assert hash1 != hash2, "Rôzne výroky by mali mať rôzny hash" + + def test_save_and_get_cached_result(self, init_test_db): + """Test: Uloženie a získanie cachovaného výsledku""" + claim = "Testovací výrok pre cache" + result = { + "verdict": "✅ Pravda", + "confidence": 0.85, + "nli_votes": {"entailment": 3, "contradiction": 1}, + "evidence_for": ["Dôkaz 1"], + "evidence_against": [], + "sources": ["https://example.com"] + } + + # Uložíme do cache + saved = save_to_cache(claim, result, model_name="roberta") + assert saved == True, "Uloženie do cache zlyhalo" + + # Získame z cache + cached = get_cached_result(claim) + assert cached is not None, "Cache by nemala byť prázdna" + assert cached["verdict"] == "✅ Pravda" + assert cached["cached"] == True + assert cached["model_name"] == "roberta" + + def test_cache_miss(self, init_test_db): + """Test: Získanie neexistujúceho cachovaného výsledku""" + claim = "Tento výrok ešte nebol overený" + cached = get_cached_result(claim) + assert cached is None, "Cache by mala byť prázdna pre nový výrok" + + def test_get_history(self, init_test_db): + """Test: Získanie histórie overení""" + # Pridáme niekoľko záznamov + for i in range(5): + claim = f"Testovací výrok {i}" + result = { + "verdict": "✅ Pravda" if i % 2 == 0 else "❌ Nepravda", + "sources": [f"https://example{i}.com"] + } + save_to_cache(claim, result, model_name="roberta") + + history = get_history(limit=10) + assert len(history) == 5, "História by mala obsahovať 5 záznamov" + + def test_get_stats(self, init_test_db): + """Test: Získanie štatistík""" + # Pridáme testovacie dáta + for i in range(3): + claim = f"Štatistický výrok {i}" + result = {"verdict": "✅ Pravda", "sources": []} + save_to_cache(claim, result, model_name="roberta") + + # Pridáme manuálne overený fakt + add_verified_fact("Manuálne overený fakt", "TRUE", "Vysvetlenie") + + stats = get_stats() + assert stats["unique_claims"] == 3 + assert stats["verified_facts"] == 1 + assert stats["total_checks"] >= 3 + + def test_add_verified_fact_duplicate(self, init_test_db): + """Test: Pridanie duplicitného manuálne overeného faktu""" + claim = "Duplicitný fakt" + result1 = add_verified_fact(claim, "TRUE", "Prvé vysvetlenie") + result2 = add_verified_fact(claim, "FALSE", "Druhé vysvetlenie") + + assert result1 == True, "Prvý fakt by sa mal pridať" + assert result2 == False, "Duplicitný fakt by sa nemal pridať" + + +# ============================================================================= +# TESTY API ENDPOINTOV +# ============================================================================= + +class TestAPIEndpoints: + """Testy pre REST API endpointy""" + + def test_empty_claim_validation(self, client): + """Test: Validácia prázdneho výroku""" + response = client.post('/api/check', + data=json.dumps({"claim": ""}), + content_type='application/json') + assert response.status_code == 400 + data = json.loads(response.data) + assert "error" in data + + def test_whitespace_only_claim(self, client): + """Test: Validácia výroku s iba medzerami""" + response = client.post('/api/check', + data=json.dumps({"claim": " "}), + content_type='application/json') + assert response.status_code == 400 + + def test_missing_claim_field(self, client): + """Test: Chýbajúce pole claim""" + response = client.post('/api/check', + data=json.dumps({"language": "sk"}), + content_type='application/json') + assert response.status_code == 400 + + def test_history_endpoint_empty(self, client, init_test_db): + """Test: História keď je prázdna""" + response = client.get('/api/history') + assert response.status_code == 200 + data = json.loads(response.data) + assert "history" in data + assert "count" in data + assert data["count"] == 0 + + def test_history_endpoint_with_data(self, client, init_test_db): + """Test: História s dátami""" + # Pridáme dáta cez cache + for i in range(3): + claim = f"História test {i}" + result = {"verdict": "✅ Pravda", "sources": []} + save_to_cache(claim, result, model_name="roberta") + + response = client.get('/api/history?limit=10') + assert response.status_code == 200 + data = json.loads(response.data) + assert data["count"] == 3 + + def test_stats_endpoint(self, client): + """Test: Štatistiky endpoint""" + response = client.get('/api/stats') + assert response.status_code == 200 + data = json.loads(response.data) + assert "unique_claims" in data + assert "total_checks" in data + assert "verified_facts" in data + + def test_admin_add_fact_success(self, client, init_test_db): + """Test: Pridanie manuálne overeného faktu (admin)""" + response = client.post('/api/admin/add-fact', + data=json.dumps({ + "claim": "Manuálne pridaný fakt", + "verdict": "TRUE", + "explanation": "Toto je vysvetlenie", + "source_url": "https://overenie.sk" + }), + content_type='application/json') + assert response.status_code == 200 + data = json.loads(response.data) + assert "message" in data + assert data["message"] == "Overený fakt pridaný" + + def test_admin_add_fact_missing_fields(self, client): + """Test: Chýbajúce povinné polia pre admin endpoint""" + response = client.post('/api/admin/add-fact', + data=json.dumps({ + "claim": "Neúplný fakt" + # Chýba verdict + }), + content_type='application/json') + assert response.status_code == 400 + + def test_admin_add_fact_duplicate(self, client, init_test_db): + """Test: Pridanie duplicitného faktu""" + # Prvýkrát úspech + response1 = client.post('/api/admin/add-fact', + data=json.dumps({ + "claim": "Duplicitný admin fakt", + "verdict": "TRUE" + }), + content_type='application/json') + assert response1.status_code == 200 + + # Druhýkrát chyba (duplicate) + response2 = client.post('/api/admin/add-fact', + data=json.dumps({ + "claim": "Duplicitný admin fakt", + "verdict": "FALSE" + }), + content_type='application/json') + assert response2.status_code == 409 + + +# ============================================================================= +# TESTY VALIDÁCIE VSTUPU +# ============================================================================= + +class TestInputValidation: + """Testy pre validáciu vstupov a filtre""" + + def test_forbidden_word_politician(self, client): + """Test: Zakázané slová - politici""" + response = client.post('/api/check', + data=json.dumps({ + "claim": "Fico je politik" + }), + content_type='application/json') + assert response.status_code == 400 + data = json.loads(response.data) + assert "forbidden_words" in data + + def test_forbidden_word_vulgar(self, client): + """Test: Zakázané slová - vulgárnosti""" + response = client.post('/api/check', + data=json.dumps({ + "claim": "Toto je kokotina" + }), + content_type='application/json') + assert response.status_code == 400 + + def test_forbidden_word_covid(self, client): + """Test: Zakázané slová - citlivé témy""" + response = client.post('/api/check', + data=json.dumps({ + "claim": "Vakcína spôsobuje neplodnosť" + }), + content_type='application/json') + assert response.status_code == 400 + + def test_forbidden_word_english(self, client): + """Test: Zakázané slová - anglické výrazy""" + response = client.post('/api/check', + data=json.dumps({ + "claim": "This is bullshit" + }), + content_type='application/json') + assert response.status_code == 400 + + def test_clean_claim_passes(self, client): + """Test: Čistý výrok prejde""" + # Tento test vyžaduje funkčný SerpAPI kľúč + # Ak nie je nastavený, vráti 500 + if not os.getenv('SERPAPI_API_KEY'): + pytest.skip("SERPAPI_API_KEY nie je nastavený") + + response = client.post('/api/check', + data=json.dumps({ + "claim": "Bratislava je hlavné mesto Slovenska" + }), + content_type='application/json') + # Môže byť 200 (úspech) alebo 429 (limit API) + assert response.status_code in [200, 429] + + +# ============================================================================= +# TESTY MODELOV +# ============================================================================= + +class TestModels: + """Testy pre AI modely""" + + def test_model_config_exists(self): + """Test: Konfigurácia modelov existuje""" + assert "roberta" in MODELS + assert "mdeberta" in MODELS + + def test_roberta_config(self): + """Test: RoBERTa konfigurácia""" + config = MODELS["roberta"] + assert config["needs_translation"] == True + assert "roberta" in config["name"].lower() + + def test_mdeberta_config(self): + """Test: mDeBERTa konfigurácia""" + config = MODELS["mdeberta"] + assert config["needs_translation"] == False + assert "mdeberta" in config["name"].lower() or "DeBERTa" in config["name"] + + def test_model_loading(self): + """Test: Načítanie modelu""" + # Testujeme že funkcia load_model existuje a nespôsobí chybu + try: + load_model("roberta") + assert True + except Exception as e: + pytest.fail(f"Načítanie modelu zlyhalo: {e}") + + +# ============================================================================= +# TESTY CACHE LOGIKY +# ============================================================================= + +class TestCacheLogic: + """Testy pre cachovaciu logiku""" + + def test_cache_increments_count(self, init_test_db): + """Test: Cache inkrementuje počet overení""" + claim = "Inkrementácia test" + result = {"verdict": "✅ Pravda", "sources": []} + + # Prvé uloženie + save_to_cache(claim, result, model_name="roberta") + cached1 = get_cached_result(claim) + count1 = cached1["check_count"] + + # Druhé získanie (inkrementuje) + cached2 = get_cached_result(claim) + count2 = cached2["check_count"] + + assert count2 == count1 + 1, "Počet overení by sa mal inkrementovať" + + def test_cache_updates_timestamp(self, init_test_db): + """Test: Cache aktualizuje časovú pečiatku""" + claim = "Timestamp test" + result = {"verdict": "✅ Pravda", "sources": []} + + save_to_cache(claim, result, model_name="roberta") + cached1 = get_cached_result(claim) + timestamp1 = cached1["checked_at"] + + import time + time.sleep(1) # Počkáme sekundu + + cached2 = get_cached_result(claim) + timestamp2 = cached2["checked_at"] + + # Timestamp by mal byť novší + assert timestamp2 >= timestamp1 + + def test_cache_serialization(self, init_test_db): + """Test: Serializácia JSON polí v cache""" + claim = "JSON serializácia test" + result = { + "verdict": "✅ Pravda", + "nli_votes": {"entailment": 0.8, "contradiction": 0.2}, + "evidence_for": [{"text": "Dôkaz 1", "confidence": 0.9}], + "evidence_against": [], + "sources": [{"url": "https://example.com", "label": "entailment"}] + } + + save_to_cache(claim, result, model_name="mdeberta") + cached = get_cached_result(claim) + + assert isinstance(cached["nli_votes"], dict) + assert isinstance(cached["evidence_for"], list) + assert isinstance(cached["evidence_against"], list) + + +# ============================================================================= +# INTEGRÁCNE TESTY +# ============================================================================= + +class TestIntegration: + """Integračné testy celého systému""" + + def test_full_request_cycle(self, client, init_test_db): + """Test: Celý cyklus požiadavky (bez SerpAPI)""" + # Testujeme validáciu a štruktúru odpovede + # Bez SerpAPI kľúča očakávame chybu 500 + + response = client.post('/api/check', + data=json.dumps({ + "claim": "Testovací výrok", + "language": "sk", + "model": "roberta" + }), + content_type='application/json') + + # Bez SerpAPI: 500, so SerpAPI: 200 alebo 429 + if os.getenv('SERPAPI_API_KEY'): + assert response.status_code in [200, 429] + else: + assert response.status_code == 500 + + def test_model_switching(self, client): + """Test: Prepínanie medzi modelmi""" + # Overíme že endpoint akceptuje parameter model + response = client.post('/api/check', + data=json.dumps({ + "claim": "", # Prázdne pre rýchly test + "model": "mdeberta" + }), + content_type='application/json') + + # Očakávame 400 (validation error) nie 500 (model error) + assert response.status_code == 400 + + def test_verified_fact_overrides_cache(self, client, init_test_db): + """Test: Manuálne overený fakt má prioritu pred cache""" + claim = "Prioritný fakt" + + # Najprv pridáme manuálne overený fakt + add_verified_fact(claim, "TRUE", "Oficiálne overené", "https://overenie.sk") + + # Potom pridáme do cache iný výsledok + cache_result = { + "verdict": "❌ Nepravda", + "sources": ["https://ine-zdroj.sk"] + } + save_to_cache(claim, cache_result, model_name="roberta") + + # Získanie by malo vrátiť manuálne overený fakt + cached = get_cached_result(claim) + assert cached is not None + assert cached["verified"] == True + assert "Overené" in cached["verdict"] + + +# ============================================================================= +# HRANIČNÉ PRÍPADY +# ============================================================================= + +class TestEdgeCases: + """Testy hraničných prípadov""" + + def test_very_long_claim(self, client): + """Test: Veľmi dlhý výrok""" + long_claim = "A" * 10000 # 10k znakov + response = client.post('/api/check', + data=json.dumps({"claim": long_claim}), + content_type='application/json') + # Aplikácia by mala zvládnuť dlhý vstup (vráti "nedostatok zdrojov" alebo spracuje) + assert response.status_code == 200 # Očakávame úspešné spracovanie + data = json.loads(response.data) + assert "verdict" in data # Mala by vrátiť verdikt + + def test_unicode_claim(self, client): + """Test: Výrok s Unicode znakmi""" + unicode_claim = "🌍 je guľatá 🌍" + response = client.post('/api/check', + data=json.dumps({"claim": unicode_claim}), + content_type='application/json') + # Aplikácia by mala správne spracovať Unicode (emoji, diakritika) + assert response.status_code == 200 + data = json.loads(response.data) + assert "verdict" in data # Mala by vrátiť verdikt + + def test_sql_injection_attempt(self, client): + """Test: Pokus o SQL injection""" + malicious_claim = "'; DROP TABLE fact_checks; --" + response = client.post('/api/check', + data=json.dumps({"claim": malicious_claim}), + content_type='application/json') + # Aplikácia by mala bezpečne spracovať vstup (parametrované dotazy) + assert response.status_code == 200 # Nemalo by to zhodiť server + # Overíme že databáza stále existuje + from database import get_stats + stats = get_stats() # Ak toto prejde, SQL injection zlyhal + assert stats is not None + + def test_special_characters_claim(self, client): + """Test: Výrok so špeciálnymi znakmi""" + special_claim = "Cena je 100€ (zľava 50%!) " + response = client.post('/api/check', + data=json.dumps({"claim": special_claim}), + content_type='application/json') + assert response.status_code in [400, 500, 429] + + def test_empty_json_body(self, client): + """Test: Prázdne JSON telo""" + response = client.post('/api/check', + data=json.dumps({}), + content_type='application/json') + assert response.status_code == 400 + + def test_invalid_json(self, client): + """Test: Neplatné JSON""" + response = client.post('/api/check', + data="nie je json", + content_type='application/json') + assert response.status_code == 400 + + def test_history_limit_zero(self, client, init_test_db): + """Test: História s limitom 0""" + # Pridáme dáta + save_to_cache("Test", {"verdict": "✅", "sources": []}, "roberta") + + response = client.get('/api/history?limit=0') + data = json.loads(response.data) + assert data["count"] == 0 + assert len(data["history"]) == 0 + + def test_history_large_limit(self, client, init_test_db): + """Test: História s veľkým limitom""" + response = client.get('/api/history?limit=999999') + assert response.status_code == 200 + + +# ============================================================================= +# SPUSTENIE TESTOV +# ============================================================================= + +if __name__ == '__main__': + # Spustenie priamym zavolaním: python test_app.py + pytest.main([__file__, '-v', '--tb=short']) diff --git a/backend/view_db.py b/backend/view_db.py new file mode 100755 index 0000000..8ca789c --- /dev/null +++ b/backend/view_db.py @@ -0,0 +1,123 @@ +""" +Jednoduchý skript na prezeranie databázy factchecker.db +""" +import sqlite3 +import json +from datetime import datetime + +DB_NAME = "factchecker.db" + +def print_separator(): + print("=" * 80) + +def view_fact_checks(): + """Zobrazí všetky fact-checky""" + conn = sqlite3.connect(DB_NAME) + conn.row_factory = sqlite3.Row + cursor = conn.cursor() + + cursor.execute('SELECT * FROM fact_checks ORDER BY checked_at DESC') + rows = cursor.fetchall() + + print_separator() + print(f"📊 FACT CHECKS (celkom: {len(rows)})") + print_separator() + + for row in rows: + print(f"\n🔍 ID: {row['id']}") + print(f" Tvrdenie: {row['claim']}") + print(f" Verdikt: {row['verdict']}") + + # Zobraziť model (ak existuje stĺpec model_name) + try: + model = row['model_name'] + if model: + print(f" Model: {model}") + else: + print(f" Model: neznámy (starý záznam)") + except IndexError: + pass # Stĺpec neexistuje v starej databáze + + print(f" Počet kontrol: {row['check_count']}") + print(f" Posledná kontrola: {row['checked_at']}") + + if row['nli_votes']: + votes = json.loads(row['nli_votes']) + print(f" NLI hlasy: {votes}") + + if row['sources']: + sources = json.loads(row['sources']) + if sources: + print(f" Zdroje: {sources[0] if sources else 'žiadne'}") + + print() + + conn.close() + +def view_verified_facts(): + """Zobrazí manuálne overené fakty""" + conn = sqlite3.connect(DB_NAME) + conn.row_factory = sqlite3.Row + cursor = conn.cursor() + + cursor.execute('SELECT * FROM verified_facts ORDER BY added_at DESC') + rows = cursor.fetchall() + + print_separator() + print(f"✅ OVERENÉ FAKTY (celkom: {len(rows)})") + print_separator() + + if not rows: + print("\n⚠️ Žiadne manuálne overené fakty\n") + else: + for row in rows: + print(f"\n✓ ID: {row['id']}") + print(f" Tvrdenie: {row['claim']}") + print(f" Verdikt: {row['verdict']}") + if row['explanation']: + print(f" Vysvetlenie: {row['explanation']}") + if row['source_url']: + print(f" Zdroj: {row['source_url']}") + print(f" Pridané: {row['added_at']} ({row['added_by']})") + print() + + conn.close() + +def view_stats(): + """Zobrazí štatistiky""" + conn = sqlite3.connect(DB_NAME) + cursor = conn.cursor() + + cursor.execute('SELECT COUNT(*) as total FROM fact_checks') + total_claims = cursor.fetchone()[0] + + cursor.execute('SELECT SUM(check_count) as total FROM fact_checks') + total_checks = cursor.fetchone()[0] or 0 + + cursor.execute('SELECT COUNT(*) as total FROM verified_facts') + verified = cursor.fetchone()[0] + + print_separator() + print("📈 ŠTATISTIKY") + print_separator() + print(f" Unikátne tvrdenia: {total_claims}") + print(f" Celkový počet kontrol: {total_checks}") + print(f" Overené fakty: {verified}") + print_separator() + print() + + conn.close() + +def main(): + print("\n" + "🔎 DATABÁZA FACT-CHECKERA".center(80)) + + try: + view_stats() + view_fact_checks() + view_verified_facts() + except sqlite3.OperationalError as e: + print(f"❌ Chyba: {e}") + print(" Skontroluj či existuje factchecker.db") + +if __name__ == "__main__": + main() diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100755 index 0000000..a547bf3 --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/frontend/README.md b/frontend/README.md new file mode 100755 index 0000000..18bc70e --- /dev/null +++ b/frontend/README.md @@ -0,0 +1,16 @@ +# React + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) (or [oxc](https://oxc.rs) when used in [rolldown-vite](https://vite.dev/guide/rolldown)) for Fast Refresh +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh + +## React Compiler + +The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation). + +## Expanding the ESLint configuration + +If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the [TS template](https://github.com/vitejs/vite/tree/main/packages/create-vite/template-react-ts) for information on how to integrate TypeScript and [`typescript-eslint`](https://typescript-eslint.io) in your project. diff --git a/frontend/eslint.config.js b/frontend/eslint.config.js new file mode 100755 index 0000000..cee1e2c --- /dev/null +++ b/frontend/eslint.config.js @@ -0,0 +1,29 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import { defineConfig, globalIgnores } from 'eslint/config' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{js,jsx}'], + extends: [ + js.configs.recommended, + reactHooks.configs['recommended-latest'], + reactRefresh.configs.vite, + ], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + parserOptions: { + ecmaVersion: 'latest', + ecmaFeatures: { jsx: true }, + sourceType: 'module', + }, + }, + rules: { + 'no-unused-vars': ['error', { varsIgnorePattern: '^[A-Z_]' }], + }, + }, +]) diff --git a/frontend/index.html b/frontend/index.html new file mode 100755 index 0000000..c20fbd3 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + frontend + + +
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"globals": "^16.5.0", + "vite": "^7.2.2" + } +} diff --git a/frontend/public/KEMT_logo.jpg b/frontend/public/KEMT_logo.jpg new file mode 100755 index 0000000..5c90277 Binary files /dev/null and b/frontend/public/KEMT_logo.jpg differ diff --git a/frontend/public/vite.svg b/frontend/public/vite.svg new file mode 100755 index 0000000..e7b8dfb --- /dev/null +++ b/frontend/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/src/App.css b/frontend/src/App.css new file mode 100755 index 0000000..f3229fb --- /dev/null +++ b/frontend/src/App.css @@ -0,0 +1,903 @@ +:root{ + --kemt-orange:#ffa900; + --kemt-blue:#0459b6; + --text-dark:#05263d; + --muted:#657786; + --bg:#f6f8fb; + --card:#ffffff; + --max-w:1100px; +} + +.container{ + max-width:var(--max-w); + margin:0 auto; + padding:0 1rem; +} + +.site-header{ + background:white; + border-bottom:1px solid #e6edf6; +} + +.header-inner{ + max-width:var(--max-w); + margin:0 auto; + padding:14px 0; + display:flex; + justify-content:space-between; + align-items:center; +} + +.brand{ + display:flex; + align-items:center; + gap:12px; +} + +.logo{ + height:64px; +} + +.brand-text h1{ + margin:0; + font-size:1.25rem; + color:var(--text-dark); +} +.brand-text .muted{ + margin:0; + font-size:0.9rem; + color:#444; +} + +.nav-bar{ + background:var(--kemt-orange); +} + +.nav-inner{ + max-width:var(--max-w); + margin:0 auto; + padding:0.6rem 1rem; +} + +.main-nav{ + display:flex; + gap:1.5rem; +} + +.main-nav a{ + color:white; + text-decoration:none; + font-weight:600; + text-transform:uppercase; + letter-spacing:0.3px; + padding:6px 0; +} + +.main-nav .btn-outline{ + padding:6px 12px; + background:transparent; + border:1px solid rgba(255,255,255,0.7); + border-radius:6px; +} + +.main-nav a:hover{opacity:0.9;} +.main-nav .btn-outline:hover{background:rgba(255,255,255,0.15);} + +.mobile-menu{ + display:none; + font-size:28px; + background:transparent; + border:0; + cursor:pointer; +} + +.hero { + padding: 4rem 0; + /* Gradient adjusted to match "About" page density */ + background: linear-gradient(180deg, var(--kemt-orange) 0%, #ffffff 35%); + min-height: 80vh; +} + +.hero-inner { + max-width: var(--max-w); + margin: 0 auto; + display: flex; + flex-direction: column; + align-items: center; + gap: 3rem; +} + +.hero-content.centered { + flex: 1; + width: 100%; + max-width: 800px; + text-align: center; +} + +.hero-content h2 { + font-size: 2.5rem; + margin-bottom: 1rem; + color: var(--text-dark); + letter-spacing: -0.5px; +} + +.hero-content .lead { + font-size: 1.2rem; + max-width: 600px; + margin: 0 auto 2.5rem auto; +} + +/* ABOUT PAGE HEADER */ +.about-hero { + padding: 4rem 0 2rem 0; + background: linear-gradient(180deg, var(--kemt-orange) 0%, #ffffff 100%); + text-align: center; + margin-bottom: 0; +} + +.about-hero-content { + max-width: 800px; + margin: 0 auto; + padding: 0 1rem; +} + +.about-hero h2 { + font-size: 2.5rem; + margin-bottom: 1rem; + color: var(--text-dark); +} + +.about-hero p { + font-size: 1.2rem; + line-height: 1.6; + color: var(--text-dark); +} + +/* FORM STYLES REFRESH */ +.claim-form.shadow-depth { + background: white; + padding: 2rem; + border-radius: 12px; + box-shadow: 0 10px 40px rgba(0,0,0,0.08); /* Deep shadow */ + border: 2px solid #ffa900; /* Visible border */ + text-align: left; + position: relative; + z-index: 10; +} + +textarea#claim-input { + width: 100%; + padding: 16px; + font-size: 1.1rem; + border: 1px solid var(--kemt-blue); + border-radius: 8px; + resize: vertical; + font-family: inherit; + margin-bottom: 1rem; + outline: none; + transition: border-color 0.2s, box-shadow 0.2s; + background: #fcfcfc; +} + +textarea#claim-input:focus { + border-color: var(--kemt-blue); + box-shadow: 0 0 0 4px rgba(4,89,182, 0.1); + background: white; +} + +.form-footer { + display: flex; + justify-content: space-between; + align-items: center; + margin-top: 1rem; + flex-wrap: wrap; + gap: 1rem; +} + +/* Advanced Filters & Buttons */ +.btn-text { + background: none; + border: none; + color: var(--muted); + font-weight: 500; + cursor: pointer; + padding: 6px 12px; + font-size: 0.9rem; + border: var(--kemt-blue) 1px solid; + border-radius: 6px; + transition: all 0.2s; + background-color: #f1f3f5; +} + +.btn-text:hover { + background-color: #e9ecef; + color: var(--kemt-blue); +} + +.advanced-wrapper { + max-height: 0; + overflow: hidden; + opacity: 0; + transform: translateY(-10px); + transition: max-height 0.4s ease-in-out, opacity 0.3s ease, transform 0.3s ease; + margin-top: 0; +} + +.advanced-wrapper.open { + max-height: 500px; /* Adjust if content is very long */ + opacity: 1; + transform: translateY(0); + margin-top: 1.5rem; +} + +.advanced-panel { + margin: 0 -2rem -2rem -2rem; + padding: 1.5rem 2rem 2rem 2rem; + background-color: #f1f5f9; /* Light contrast background */ + border-top: 1px solid #e2e8f0; + border-radius: 0 0 12px 12px; +} + +.filter-row { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); + gap: 1.25rem; +} + +.filter-group { + display: flex; + flex-direction: column; + gap: 0.5rem; + text-align: left; +} + +.filter-group label { + font-size: 0.8rem; + font-weight: 600; + color: var(--muted); + text-transform: uppercase; + letter-spacing: 0.05em; + margin-left: 2px; +} + +.filter-group select, +.filter-group input { + width: 100%; + padding: 10px 12px; + border: 1px solid var(--kemt-blue); + border-radius: 8px; + font-size: 0.95rem; + background-color: #f8fafc; + color: var(--text-color); + transition: all 0.2s ease; + outline: none; + font-family: inherit; +} + +.filter-group select:hover, +.filter-group input:hover { + border-color: #cbd5e1; +} + +.filter-group select:focus, +.filter-group input:focus { + border-color: var(--kemt-blue); + background-color: white; + box-shadow: 0 0 0 3px rgba(4, 89, 182, 0.1); +} + +/* Custom Calendar Icon fix for inputs */ +.filter-group input[type="date"]::-webkit-calendar-picker-indicator { + opacity: 0.6; + cursor: pointer; + transition: opacity 0.2s; +} +.filter-group input[type="date"]::-webkit-calendar-picker-indicator:hover { + opacity: 1; +} + +.filter-actions { + margin-top: 1.5rem; + display: flex; + justify-content: flex-end; +} + +.btn-link { + background: white; + border: 1px solid #e03131; + padding: 8px 18px; + color: #e03131; + border-radius: 6px; + cursor: pointer; + font-size: 0.9rem; + font-weight: 500; + transition: all 0.2s ease; + display: inline-flex; + align-items: center; + gap: 6px; +} + + +.btn-primary-lg { + background-color: var(--kemt-blue); + color: white; + padding: 12px 32px; + font-size: 1.05rem; + border: none; + border-radius: 8px; + cursor: pointer; + font-weight: 600; + transition: all 0.2s; + box-shadow: 0 4px 12px rgba(4, 89, 182, 0.3); +} + +.btn-primary-lg:hover { + background-color: #034691; + transform: translateY(-1px); + box-shadow: 0 6px 16px rgba(4, 89, 182, 0.4); +} + +.btn-primary-lg:disabled { + background-color: #a0bfe0; + cursor: wait; + transform: none; +} + +/* HOW IT WORKS STEPS NEW */ +.how-it-works-row { + display: flex; + justify-content: center; + align-items: center; + border: var(--kemt-orange) 2px solid; + gap: 1rem; + margin-top: 1rem; + width: 100%; + max-width: 900px; + flex-wrap: wrap; +} + +.step-card { + flex: 1; + min-width: 140px; + text-align: center; + padding: 1rem; +} + +.step-num { + background: white; + color: var(--kemt-blue); + font-weight: 800; + width: 36px; + height: 36px; + line-height: 36px; + border-radius: 50%; + margin: 0 auto 0.5rem auto; + border: 2px solid var(--kemt-blue); + font-size: 1.1rem; +} + +.step-card h4 { + margin: 0.5rem 0 0.25rem 0; + font-size: 1rem; + color: var(--text-dark); + font-weight: 700; +} + +.step-card p { + font-size: 0.85rem; + color: var(--muted); + font-weight: 500; + margin: 0; + line-height: 1.4; +} + +.step-arrow { + color: var(--muted); + font-size: 1.5rem; + opacity: 0.5; +} + +@media (max-width: 768px) { + .step-arrow { display: none; } + .how-it-works-row { flex-direction: column; gap: 2rem; } +} + +/* RESULTS REDESIGN */ +.result-card { + margin-top: 2rem; + background: white; + border-radius: 12px; + padding: 2rem; + text-align: left; + box-shadow: 0 4px 20px rgba(0,0,0,0.06); + border-left: 6px solid #ccc; + animation: fadeIn 0.5s ease-out; +} + +.verdict-success { border-left-color: #2e7d32; background: #f1f8f1; } +.verdict-danger { border-left-color: #d32f2f; background: #fff5f5; } +.verdict-warning { border-left-color: #ed6c02; background: #fff8e1; } + +.verdict-main { + font-size: 1.5rem; + font-weight: bold; + margin: 1rem 0 1.5rem 0; + color: var(--text-dark); +} + +.verdict-success .verdict-main { color: #1b5e20; } +.verdict-danger .verdict-main { color: #c62828; } +.verdict-warning .verdict-main { color: #e65100; } + +.sources-list { + display: flex; + flex-direction: column; + gap: 0.5rem; +} + +.source-item { + display: flex; + align-items: center; + gap: 10px; + background: white; + padding: 10px 15px; + border-radius: 6px; + border: 1px solid rgba(0,0,0,0.08); + text-decoration: none; + color: var(--text-dark); + transition: hover 0.2s; +} + +.source-item:hover { + border-color: var(--kemt-blue); + background: #fbfdff; +} + +.source-icon { font-size: 1.2rem; } +.source-url { font-weight: 500; color: var(--kemt-blue); } + +@keyframes fadeIn { + from { opacity: 0; transform: translateY(10px); } + to { opacity: 1; transform: translateY(0); } +} + +.card{ + background:white; + padding:16px; + border-radius:8px; + border:1px solid #e6edf6; +} + +.features{ + margin-top:1.5rem; + padding-bottom:2rem; +} + +.grid{ + display:grid; + grid-template-columns:repeat(auto-fit,minmax(260px,1fr)); + gap:1rem; +} + +.feature{ + background:white; + padding:18px; + border-radius:8px; + border:1px solid #e6edf6; +} + +.site-footer{ + border-top:1px solid #e6edf6; + margin-top:2rem; + padding:14px 0; +} + +.footer-inner{ + max-width:var(--max-w); + margin:0 auto; + display:flex; + justify-content:space-between; + align-items:center; +} + +.tiny-nav a{ + margin-left:1rem; + color:var(--kemt-blue); + text-decoration:none; +} + +@media (max-width:900px){ + .hero-inner{ + flex-direction:column; + } + .hero-aside{ + flex:none; + max-width:100%; + width:100%; + } +} + +@media (max-width:700px){ + .mobile-menu{ + display:block; + color:var(--kemt-blue); + } + + .main-nav{ + display:none; + flex-direction:column; + } + + .main-nav.open{ + display:flex; + background:var(--kemt-blue); + position:absolute; + left:0; + right:0; + top:110px; + padding:1rem; + z-index:1000; + } + + .main-nav.open a{ + padding:10px 0; + border-bottom:1px solid rgba(255,255,255,0.15); + } +} + +/* About page explanation styles */ +.explanation-block, .features-section { + margin-top: 3rem; + margin-bottom: 3rem; +} + +.features-grid { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); + gap: 1.5rem; + margin-top: 1.5rem; +} + +.about-context-grid { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); + gap: 1.5rem; + margin-top: 2rem; + margin-bottom: 3rem; +} + +.context-card { + background: transparent; + border-left: 4px solid var(--kemt-orange); + padding: 1rem 1.5rem; +} + +.context-card h4 { + color: var(--text-dark); + margin-top: 0; + margin-bottom: 0.8rem; + font-size: 1.15rem; +} + +.context-card p { + margin: 0; + font-size: 0.95rem; + line-height: 1.6; + color: #444; +} + +.feature-card { + background: #fcfdfe; + padding: 2rem; + border-radius: 16px; + box-shadow: 0 4px 20px rgba(0,0,0,0.06); + text-align: center; + transition: transform 0.2s ease, box-shadow 0.2s ease; + border: 1px solid #e1e8ed; +} + +.feature-card:hover { + transform: translateY(-5px); + box-shadow: 0 8px 30px rgba(0,0,0,0.1); + background: white; +} + +.feature-icon { + font-size: 3rem; + margin-bottom: 1rem; + background: #edf5fc; + width: 80px; + height: 80px; + line-height: 80px; + border-radius: 50%; + margin-left: auto; + margin-right: auto; +} + +.feature-card h4 { + color: var(--text-dark); + margin: 0.5rem 0; + font-size: 1.3rem; +} + +.feature-card p { + color: var(--muted); + font-size: 0.95rem; + line-height: 1.5; +} + +/* Steps bubbles */ +.steps-container { + display: flex; + flex-direction: column; + gap: 1.5rem; + margin-top: 1.5rem; +} + +@media (min-width: 768px) { + .steps-container { + flex-direction: row; + align-items: stretch; + } +} + +.step.bubble-step { + flex: 1; + background: #f8fafc; + padding: 2rem; + border-radius: 20px; /* Bubble look */ + border: 2px solid #eef3f7; + position: relative; + box-shadow: 0 4px 12px rgba(0,0,0,0.03); + display: flex; + flex-direction: column; + align-items: center; + text-align: center; + transition: all 0.2s ease; +} + +.step-number { + background: var(--kemt-orange); + color: white; + font-weight: bold; + font-size: 1.5rem; + width: 50px; + height: 50px; + line-height: 50px; + border-radius: 50%; + margin-bottom: 1rem; + box-shadow: 0 4px 10px rgba(255, 169, 0, 0.3); +} + +.step-content h4 { + color: var(--kemt-blue); + font-size: 1.2rem; + margin-bottom: 1rem; + border-bottom: 2px solid transparent; + padding-bottom: 0.5rem; + display: inline-block; +} + +.step.bubble-step:hover { + border-color: var(--kemt-orange); + background: white; + transform: translateY(-3px); + box-shadow: 0 8px 20px rgba(0,0,0,0.08); +} + +/* Accordion / Detailed Info Section */ +.detailed-info-section { + margin-top: 4rem; + text-align: center; +} + +.accordion-btn { + background: white; + border: 2px solid var(--kemt-blue); + color: var(--kemt-blue); + padding: 12px 24px; + font-size: 1rem; + font-weight: 600; + border-radius: 30px; + cursor: pointer; + display: inline-flex; + align-items: center; + gap: 10px; + transition: all 0.3s ease; +} + +.accordion-btn:hover, .accordion-btn.active { + background: var(--kemt-blue); + color: white; +} + +.accordion-icon { + font-size: 1.2rem; + line-height: 1; +} + +.detailed-content { + max-height: 0; + overflow: hidden; + transition: max-height 0.4s ease-out, opacity 0.4s ease; + opacity: 0; + margin-top: 1rem; + text-align: left; +} + +.detailed-content.expanded { + max-height: 2000px; /* arbitrary large value */ + opacity: 1; + transition: max-height 0.8s ease-in, opacity 0.4s ease; +} + +.detail-inner { + background: #f1f8ff; + padding: 2.5rem; + border-radius: 16px; + border-left: 5px solid var(--kemt-blue); +} + +.detail-inner h3 { + margin-top: 0; + color: var(--text-dark); +} + +.detail-inner h4 { + color: var(--kemt-blue); + margin-top: 1.5rem; + margin-bottom: 0.5rem; + font-size: 1.1rem; +} + +.detail-inner code { + background: rgba(0,0,0,0.05); + padding: 2px 6px; + border-radius: 4px; + font-family: monospace; + color: #cc0000; +} + +.math-block { + background: white; + padding: 1rem; + border-radius: 8px; + border: 1px solid #ddd; + margin: 1rem 0; + font-family: monospace; +} + +.math-block p { + margin: 0.5rem 0; + color: #333; +} + +.limitations-list li { + margin-bottom: 0.8rem; + padding-left: 0.5rem; +} + +.limitations-list strong { + color: #d32f2f; /* Red standard for limitations/warnings */ +} + + + + + + +/* Source Badges */ +.source-content { + display: flex; + align-items: center; + gap: 10px; +} + +.source-badge { + margin-left: auto; + font-size: 0.8em; + padding: 4px 10px; + border-radius: 12px; + font-weight: 600; + white-space: nowrap; +} + +.badge-success { + background-color: #e6f4ea; + color: #1e7e34; + border: 1px solid #cce8d0; +} + +.badge-danger { + background-color: #fce8e6; + color: #d93025; + border: 1px solid #fad2cf; +} + +.badge-neutral { + background-color: #f1f3f4; + color: #5f6368; + border: 1px solid #dcdcdc; +} + + +/* Model Selector Buttons */ +.model-selector-container { + padding: 0 0 1rem 0; +} + +.model-options { + display: flex; + gap: 12px; + justify-content: space-between; +} + +.model-option { + flex: 1; + display: flex; + flex-direction: column; + justify-content: center; + align-items: center; + background-color: #f8f9fa; + border: 1px solid #e9ecef; + border-radius: 8px; + padding: 10px; + cursor: pointer; + transition: all 0.2s ease; + text-align: center; + position: relative; + user-select: none; + min-width: 100px; /* Ensure they don't shrink too much */ +} + +.model-option:hover { + background-color: #e2e6ea; + border-color: #ced4da; + transform: translateY(-2px); +} + +.model-option.active { + background-color: #ffffff; + border-color: #ffa900; + box-shadow: 0 4px 10px rgba(255, 169, 0, 0.15); + z-index: 2; +} + +.model-option .model-name { + font-weight: 700; + color: var(--text-dark); + font-size: 0.95rem; + margin-bottom: 2px; + display: block; +} + +.model-option .model-desc { + font-size: 0.75rem; + color: #6c757d; + letter-spacing: 0.02em; + display: block; +} + +.model-option.active .model-name { + color: #ffa900; +} + +.model-option.active::after { + display: none; /* No checkmark needed if highlighted well */ +} + +@media (max-width: 600px) { + .model-options { + flex-direction: column; + gap: 8px; + } + .model-option { + flex-direction: row; + justify-content: space-between; + align-items: center; + padding: 12px 16px; + text-align: left; + } + .model-option .model-name { margin-bottom: 0; } +} + diff --git a/frontend/src/App.jsx b/frontend/src/App.jsx new file mode 100755 index 0000000..e83ccd8 --- /dev/null +++ b/frontend/src/App.jsx @@ -0,0 +1,21 @@ +import React from "react"; +import { BrowserRouter as Router, Routes, Route } from "react-router-dom"; +import Layout from "./components/Layout"; +import Home from "./pages/Home"; +import About from "./pages/About"; +import "./App.css"; + +function App() { + return ( + + + }> + } /> + } /> + + + + ); +} + +export default App; diff --git a/frontend/src/assets/react.svg b/frontend/src/assets/react.svg new file mode 100755 index 0000000..6c87de9 --- /dev/null +++ b/frontend/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/src/components/Layout.jsx b/frontend/src/components/Layout.jsx new file mode 100755 index 0000000..9b2d0c5 --- /dev/null +++ b/frontend/src/components/Layout.jsx @@ -0,0 +1,60 @@ +import React, { useState } from "react"; +import { Link, Outlet } from "react-router-dom"; +import "../App.css"; + +const Layout = () => { + const [menuOpen, setMenuOpen] = useState(false); + + return ( + <> +
+
+
+ KEMT logo +
+

AI Fact Checker

+

Demo KEMT

+
+
+ +
+
+ +
+
+ +
+
+ + + + + + ); +}; + +export default Layout; \ No newline at end of file diff --git a/frontend/src/index.css b/frontend/src/index.css new file mode 100755 index 0000000..0bbb0d1 --- /dev/null +++ b/frontend/src/index.css @@ -0,0 +1,10 @@ +*{box-sizing:border-box;} + +body{ + font-family:Inter, system-ui, -apple-system, 'Segoe UI', Roboto, Arial, sans-serif; + margin:0; + background:#f6f8fb; + color:#000; + line-height: 1.5; +} + diff --git a/frontend/src/main.jsx b/frontend/src/main.jsx new file mode 100755 index 0000000..b9a1a6d --- /dev/null +++ b/frontend/src/main.jsx @@ -0,0 +1,10 @@ +import { StrictMode } from 'react' +import { createRoot } from 'react-dom/client' +import './index.css' +import App from './App.jsx' + +createRoot(document.getElementById('root')).render( + + + , +) diff --git a/frontend/src/pages/About.jsx b/frontend/src/pages/About.jsx new file mode 100755 index 0000000..0072f1b --- /dev/null +++ b/frontend/src/pages/About.jsx @@ -0,0 +1,227 @@ +import React, { useState } from "react"; +import "../App.css"; + +const About = () => { + const [isExpanded, setIsExpanded] = useState(false); + + return ( +
+
+
+

O projekte

+

+ Tento fact-checker využíva pokročilé metódy umelej inteligencie na + overovanie pravdivosti tvrdení. Systém kombinuje vyhľadávanie + informácií v reálnom čase s analytickými schopnosťami neurónových + sietí. +

+
+
+ +
+
+
+

O nástroji

+

+ Tento demo nástroj kombinuje model prirodzeného jazykového inferovania (NLI) s vyhľadávaním na webe. Zadáš tvrdenie, backend získa výsledky vyhľadávania, extrahuje relevantné úryvky a model vyhodnotí, či dôkazy tvrdenie podporujú, odporujú alebo nestačia. +

+
+ +
+

Prečo je to dôležité?

+

+ Fact-checking pomáha odhaľovať nepravdivé a zavádzajúce tvrdenia, ktoré sa šíria najmä na internete. Chráni ľudí pred manipuláciou, posilňuje dôveru v spoľahlivé zdroje a podporuje kritické myslenie. +

+
+ +
+

Open-source

+

+ Projekt využíva open-source technológie z oblasti NLP – Flask, Transformers, Sentence-Transformers a verejné fact-checking datasety. Kód je voľne dostupný a pripravený na ďalšie vylepšovanie. +

+
+
+ +
+

Kľúčové funkcie

+
+
+
⚡
+

Rýchle overenie

+

+ Okamžitá analýza tvrdení pomocou moderných AI modelov a + vyhľadávania v reálnom čase. +

+
+
+
🌍
+

Podpora slovenčiny

+

+ Plne lokalizované rozhranie a schopnosť spracovať slovenské + tvrdenia s prekladom na pozadí. +

+
+
+
🔍
+

Transparentné zdroje

+

+ Každé overenie obsahuje odkazy na použité články a zdroje, z + ktorých systém čerpal. +

+
+
+
+ +
+

Ako to funguje?

+

Proces overovania sa skladá z troch hlavných krokov:

+ +
+
+
1
+
+

Analýza a vyhľadávanie

+

+ Systém analyzuje text a vyhľadá relevantné články na internete. + Používa preklad do angličtiny pre lepšie výsledky a získanie + najnovších faktov. +

+
+
+ +
+
2
+
+

Overovanie (NLI)

+

+ AI model (RoBERTa) porovnáva vaše tvrdenie s nájdenými textami. + Určuje, či dôkazy potvrdzujú alebo vyvracajú hypotézu. +

+
+
+ +
+
3
+
+

Vyhodnotenie

+

+ Agregácia výsledkov z viacerých zdrojov. Systém vypočíta skóre + dôveryhodnosti a zobrazí finálny verdikt s dôkazmi. +

+
+
+
+
+ +
+ + +
+
+

Deep Dive: Architektúra systému

+ +

1. Získavanie informácií

+

+ Na rozdiel od generatívnych modelov (ako GPT), ktoré "halucinujú" odpovede zo svojej pamäte, + náš systém funguje na princípe Retrieval-Augmented Verification. + Najprv sa vykoná sémantický preklad dopytu do angličtiny (GoogleTranslator), + čím sa sprístupní globálna báza vedomostí. Následne sa cez SerpAPI vykoná cielené + vyhľadávanie relevantných úryvkov (snippetov) z dôveryhodných zdrojov. +

+ +

2. NLI Klasifikátor (Natural Language Inference)

+

+ Srdcom systému je model unie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli. + Ide o model architektúry Transformer (RoBERTa Large), ktorý bol jemne doladený (fine-tuned) + na masívnych datasetoch pre úlohu NLI (SNLI, MNLI, FEVER, ANLI). +

+

+ Tento model nepredikuje ďalšie slovo, ale vykonáva troj-triednu klasifikáciu + pre dvojicu textov (Tvrdenie vs. Dôkaz): +

+
    +
  • Entailment (Vyplýva): Dôkaz potvrdzuje tvrdenie (Pravda).
    • +
  • Contradiction (Rozpor): Dôkaz je v priamom rozpore s tvrdením (Nepravda).
    • +
  • Neutral (Neutrálne): Dôkaz s tvrdením nesúvisí alebo ho nepotvrdzuje.
    • +
+ +

3. Agregácia a Vyhodnotenie (Soft Scoring)

+

+ Webové vyhľadávanie vráti desiatky fragmentov, z ktorých niektoré môžu byť irelevantné. + Preto systém nepoužíva jednoduchú väčšinu ("koľko článkov súhlasí"), ale váženú agregáciu (Soft Scoring). + Zohľadňuje sa miera istoty (Confidence Score) modelu – ak model s vysokou istotou (napr. 99%) nájde rozpor v dôveryhodnom zdroji, + tento silný signál preváži nad množstvom neutrálnych výsledkov. +

+

+ Finálne skóre sa počíta sčítaním pravdepodobností: +

+
+

Skóre_Pravda = ∑ P(entailment)

+

Skóre_Nepravda = ∑ P(contradiction)

+

Celkové_Skóre = Skóre_Pravda + Skóre_Nepravda

+
+

+ Verdikt sa určí na základe pomeru: +

+
    +
  • Ak Skóre_Pravda / Celkové_Skóre > 0.5 → ✅ Pravdepodobne pravda
    • +
  • Ak Skóre_Nepravda / Celkové_Skóre > 0.5 → ❌ Pravdepodobne nepravda
    • +
  • Inak → ⚠️ Nejednoznačné (ak sú dôkazy protichodné alebo slabé)
    • +
+ +

4. Transparentnosť a vysvetliteľnosť

+

+ Kľúčovou vlastnosťou systému je možnosť overiť si prácu AI. Toto nie je "Black Box". + Pri každom rozhodnutí systém zobrazí: +

+
    +
  • Presné zdroje: URL odkazy na články, ktoré boli použité pre analýzu.
    • +
  • Konkrétne úryvky: Text, ktorý AI našla a na základe ktorého rozhodla.
    • +
  • Skóre istoty: Ako veľmi si je model istý svojím tvrdením.
    • +
+ +

5. Prečo je tento prístup spoľahlivejší než LLM (GPT)?

+

+ Bežné generatívne modely (LLMs) ako ChatGPT fungujú ako prediktor ďalšieho slova a často "halucinujú" (vymýšľajú si fakty). + Tento Fact-Checking Pipeline je robustnejší pretože: +

+
    +
  • Nehalucinuje: Negeneruje text z pamäte, ale overuje ho voči reálnym zdrojom.
    • +
  • Aktuálnosť: Pracuje s informáciami z dnešného dňa (cez Google Search), nie s dátami spred rokov.
    • +
  • Objektivita: Model je trénovaný na logiku (Dôkaz vs. Tvrdenie), nie na kreatívne písanie.
    • +
+ +

6. Obmedzenia systému

+

+ Napriek pokročilej technológii má systém svoje hranice a etické obmedzenia: +

+
    +
  • + Zákaz politických tvrdení: Systém je navrhnutý ako nástroj na overovanie faktov, nie na politický boj. + Aplikácia obsahuje filter, ktorý automaticky odmieta tvrdenia týkajúce sa aktívnych politikov, politických strán + alebo citlivých spoločenských tém (napr. voľby), aby sa predišlo šíreniu zaujatosti alebo manipulácii. +
    • +
  • + Závislosť na zdrojoch: Ak Google nenájde k téme žiadne dôveryhodné články, systém nedokáže tvrdenie overiť + (vráti status "Neoveriteľné"). +
    • +
  • + Jazyková bariéra: Hoci systém používa prekladač, pri veľmi špecifických slovenských slangových výrazoch + alebo lokálnych kauzách môže byť presnosť nižšia než pri globálnych témach. +
    • +
+
+
+
+
+
+ ); +}; + +export default About; diff --git a/frontend/src/pages/Home.jsx b/frontend/src/pages/Home.jsx new file mode 100755 index 0000000..2d858e6 --- /dev/null +++ b/frontend/src/pages/Home.jsx @@ -0,0 +1,274 @@ +import React, { useState } from "react"; +import "../App.css"; + +function Home() { + const [claim, setClaim] = useState(""); + + // Advanced settings state + const [showAdvanced, setShowAdvanced] = useState(false); + const [dateFrom, setDateFrom] = useState(""); + const [dateTo, setDateTo] = useState(""); + const [language, setLanguage] = useState("all"); + const [selectedSource, setSelectedSource] = useState("all"); + const [model, setModel] = useState("roberta"); + + const [result, setResult] = useState(null); + const [loading, setLoading] = useState(false); + + // Note: menuOpen state was moved to Layout.jsx + + const handleCheck = async () => { + if (!claim.trim()) return; + + setLoading(true); + setResult({ verdict: "Overujem…", sources: [] }); + + try { + const res = await fetch("http://localhost:5000/api/check", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + claim, + language, + dateFrom, + dateTo, + selectedSource, + model + }), + }); + + const data = await res.json(); + + // Spracuj chyby z backendu + if (!res.ok) { + setResult({ + verdict: data.message || data.error || "Chyba servera", + sources: [] + }); + } else { + setResult({ + verdict: data.verdict || "Neznámy výsledok", + sources: data.sources || [], + }); + } + } catch (e) { + setResult({ verdict: "Backend nedostupný", sources: [] }); + } + setLoading(false); + }; + + return ( +
+
+
+ +
+

Rýchle overenie tvrdení pomocou NLI

+

+ Zadaj výrok a systém prehľadá web, vyhodnotí dôkazy a vráti odhad - pravda, nepravda alebo neoveriteľné. +

+ +
e.preventDefault()}> + +
+
+ + +
+
+ +