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app copy.py

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+import os
+import gradio as gr
+import openai
+import faiss
+import pickle
+from sentence_transformers import SentenceTransformer
+
+# API anahtarı (Hugging Face Secrets'ten otomatik alınır)
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# FAISS index ve knowledge base yükleme
+try:
+    index = faiss.read_index("kb_faiss.index")
+    with open("kb_texts.pkl", "rb") as f:
+        kb_texts = pickle.load(f)
+except:
+    index = None
+    kb_texts = ["Bilgi tabanı yüklenemedi."]
+
+embedder = SentenceTransformer("all-MiniLM-L6-v2")
+
+# RAG + LLM fonksiyonu
+def chat(query):
+    if index is not None:
+        q_emb = embedder.encode([query], convert_to_numpy=True)
+        D, I = index.search(q_emb, 1)
+        context = kb_texts[I[0][0]]
+    else:
+        context = "Knowledge base not found."
+
+    prompt = f"""
+    You are a helpful assistant for a Credit Card Fraud Detection project.
+    Context: {context}
+    Question: {query}
+    """
+
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-4o-mini",
+            messages=[{"role": "user", "content": prompt}],
+            max_tokens=300,
+            temperature=0
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"API error: {e}"
+
+# Gradio arayüzü
+demo = gr.Interface(fn=chat, inputs="text", outputs="text",
+                    title="Fraud Detection Chatbot",
+                    description="RAG destekli dolandırıcılık tespiti yardımcısı.")
+
+if __name__ == "__main__":
+    demo.launch()

kb_texts.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5cec1ffe7d90c9c2f7e5a9cf7b706f27ca2bb7a3e2b26fa5c66a3eeca9dfbc5d
+size 807

rag.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a4b331fa64dc9482df530c664111e42b074bfc22f3ed7dcf668e55ab10939a8a
+size 106970075