Update main.py

main.py

@@ -47,6 +47,31 @@ try:
 except Exception:
     def detect_fake_news(x): return []
 
+# ── New NLP Services ──
+try:
+    from services.absa import analyze_absa
+except Exception as e:
+    print(f"⚠️  ABSA not available: {e}")
+    def analyze_absa(x): return {'top_aspects':[],'aggregate':{},'aspect_sentiment_map':{}}
+
+try:
+    from services.ner import analyze_ner
+except Exception as e:
+    print(f"⚠️  NER not available: {e}")
+    def analyze_ner(x): return {'top_entities':[],'entities_by_type':{}}
+
+try:
+    from services.advanced_nlp import (
+        analyze_stance, analyze_emotions,
+        extract_keywords, summarize_by_platform
+    )
+except Exception as e:
+    print(f"⚠️  Advanced NLP not available: {e}")
+    def analyze_stance(x, t=None): return {'counts':{},'dominant':'Neutral','favor_pct':0,'against_pct':0,'neutral_pct':0}
+    def analyze_emotions(x): return {'distribution':{},'dominant':'neutral','emotional_pct':0}
+    def extract_keywords(x, n=20): return []
+    def summarize_by_platform(x): return {}
+
 app = Flask(__name__)
 CONF_THRESHOLD = 0.60
 
@@ -384,7 +409,7 @@ def analyze():
         bot_bert=detect_bot_bert(texts); fake_news=detect_fake_news(texts)
         export=build_export_data(result_data,keyword,source,conf_stats_data,cross_data,trend)
         save_export_csv(export)
-        return jsonify({"data":result_data,"top_words":top_words,"topics":topics,"insight":insight,"clusters":clusters,"hoax":hoax,"network":network,"bot_network":bot_network,"trend":trend,"bot_bert":bot_bert,"fake_news":fake_news,"gnn":gnn,"conf_stats":conf_stats_data,"cross_platform":cross_data,"export_summary":export["summary"]})
+        return jsonify({"data":result_data,"top_words":top_words,"topics":topics,"insight":insight,"clusters":clusters,"hoax":hoax,"network":network,"bot_network":bot_network,"trend":trend,"bot_bert":bot_bert,"fake_news":fake_news,"gnn":gnn,"conf_stats":conf_stats_data,"cross_platform":cross_data,"export_summary":export["summary"],"absa":absa_result,"ner":ner_result,"stance":stance_result,"emotions":emotion_result,"keywords":keywords_result,"summaries":summaries})
     except Exception as e:
         print(f"ERROR /analyze: {e}"); return jsonify({"error":str(e),"data":[]}),500