Update app.py

app.py

@@ -1,14 +1,30 @@
-import openai
+# app.py
+import numpy as np
+from sentence_transformers import SentenceTransformer
+import faiss
 
-openai.api_key = "sk-e600bd8c7528487ea3659608af82ffa6"
-openai.api_base = "https://api.deepseek.com/v1"
+# Загрузка индекса и фрагментов
+def load_index_and_passages(index_path="vectorstore/index.faiss", passage_path="vectorstore/passages.npy"):
+    index = faiss.read_index(index_path)
+    passages = np.load(passage_path, allow_pickle=True)
+    return index, passages
 
-response = openai.chat.completions.create(
-    model="deepseek-chat",
-    messages=[
-        {"role": "system", "content": "Сіз бағдарламалау бойынша қазақша көмек беретін ассистентсіз."},
-        {"role": "user", "content": "Python тілінде цикл қалай жазылады?"}
-    ]
-)
+# Получить наиболее релевантный фрагмент
+def retrieve_answer(question, index, passages, top_k=1):
+    model = SentenceTransformer('bert-base-multilingual-cased')
+    question_emb = model.encode([question])
+    D, I = index.search(question_emb, top_k)
+    return [passages[i] for i in I[0]]
 
-print(response.choices[0].message.content)
+# Простая функция-интерфейс
+def ask_qa():
+    index, passages = load_index_and_passages()
+    while True:
+        question = input("Сұрақ: ")
+        if question.lower() in ["exit", "шығу"]:
+            break
+        answers = retrieve_answer(question, index, passages)
+        print("Жауап:", answers[0])
+
+if __name__ == "__main__":
+    ask_qa()