Update app.py

app.py

@@ -4,31 +4,28 @@ from sentence_transformers import SentenceTransformer
 from sklearn.metrics.pairwise import cosine_similarity
 import numpy as np
 
-# 1. Küçük bir gömme (embedding) modeli
-embedder = SentenceTransformer("all-MiniLM-L6-v2")
+# Küçük gömme modeli (daha az RAM kullanır)
+embedder = SentenceTransformer("paraphrase-MiniLM-L3-v2")
 
-# 2. Verileri yükle
+# JSON veri yükle
 with open("memory_questions.json", "r") as f:
     memory_data = json.load(f)
 
-# 3. Tüm memory'leri embed et (başta bir defa)
 memory_texts = [item['description'] for item in memory_data]
 memory_embeddings = embedder.encode(memory_texts)
 
-# 4. Soru üretme fonksiyonu
 def generate_question(user_memory):
     user_embedding = embedder.encode([user_memory])
     similarities = cosine_similarity(user_embedding, memory_embeddings)[0]
     best_match_index = np.argmax(similarities)
     return memory_data[best_match_index]['question']
 
-# 5. Gradio Arayüzü
 iface = gr.Interface(
     fn=generate_question,
     inputs=gr.Textbox(label="Your Memory"),
     outputs=gr.Textbox(label="Generated Question"),
     title="MemoRease - Semantic Memory Question Generator",
-    description="Write a memory, get the most semantically related question from your dataset!"
+    description="Find the most semantically similar question from your memory set."
 )
 
 iface.launch()