Delete quantum_learning.py

quantum_learning.py

@@ -1,23 +0,0 @@
-from sentence_transformers import SentenceTransformer  
-from sklearn.cluster import KMeans  
-import numpy as np  
-
-class QuantumLearner:  
-    def __init__(self):  
-        self.model = SentenceTransformer('paraphrase-multilingual-MiniLM-L12-v2')  
-
-    def analyze_conversations(self):  
-        # Dohvati neenkriptiranu povijest (samo za analizu)  
-        history = get_history(limit=1000)  
-        texts = [decrypt_data(row[2]) + " " + decrypt_data(row[3]) for row in history]  
-        
-        # Klasteriranje tema  
-        embeddings = self.model.encode(texts)  
-        kmeans = KMeans(n_clusters=3).fit(embeddings)  
-        
-        # Pronađi najčešće teme  
-        topics = {}  
-        for label, text in zip(kmeans.labels_, texts):  
-            topics[label] = topics.get(label, []) + [text]  
-        
-        return {k: v[:3] for k, v in topics.items()}  # Vrati 3 reprezentativna primjera po temi